PROFESSIONAL SUMMARY:

• Over 6 years of experience with planning, designing, implementing and maintaining system applications in AWS Cloud in Windows and Linux environments, Azure Cloud and Google Cloud Platforms and overall 15+ years total IT related experience.
• Lead technology teams migrating Enterprise applications to AWS
• Experience in maintenance and configuration of user accounts for Production, Dev, QA servers and created roles for EC2, RDS, S3, CloudWatch, EBS resources to communicate with each other using IAM.
• Experience in migrating and implementation of multiple applications from on premise to cloud using AWS services like SMS, DBMS, CloudFormation, S3, Route53 Glacier, EC2, RDS, SQS, SNS, Lambda, and VPC.
• Build and configure a virtual data center in AWS Cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.
• Build servers using AWS, importing volumes, launching EC2, RDS, Creating security groups, auto - scaling, load balancers(ELBs) in the defined virtual private connection.
• Expertise in AWS cloud services such as EC2, S3, ELB, Auto scaling, EBS, RDS, VPC, Subnets, Security Groups, Elastic IP, Internet Gateway, Route Tables, Route53, Cloud Watch, IAM, SQS, SNS and SES.
• Expertise in architecting the design, scalability, high availability, Disaster Recovery. Design Cloud Infrastructures, providing solutions based on a range of Cloud technologies and services
• Design on Cloud Infrastructures, providing solutions based on a range of Cloud technologies and services
• Created user, roles and groups for using resources in AWS Identity Access Management.
• Hands on experience in migrating several applications from on premise applications to cloud.
• Configure Security Groups, Network ACL's, Subnets, Route Tables, Elastic Ip's and Internet Gateway in VPC.
• Manage and configure AWS services as per the business needs (EC2, S3, Route53, RDS, IAM, SNS, VPC, SES)
• Design high availability environment for Web servers and database servers on EC2 by using ELB and Auto-scaling.
• Designed AWS Cloud Formation templates to create multi region web applications and databases.
• The configuration of Continuous Integration (CI) and Continuous Deliver (CD) using CodePipeline and CodeDeploy for automation.
• Over 6 years of hands on experience in Architectures, Designing, Implementing and Maintaining various BigData frameworks including Hadoop, Predix, Spark SQL, Hive, Impala, Pig, Hbase, Kafka, Oozie, Flume, Zookeeper, Sqoop, Presto, Zeppelin, Gangilla, HCatelog, Tez,
• Hands on experience in extending and utilizing ETL solutions Informatica, Talend, Pentaho, Ab Initio, etc in complex and high volume data environments.
• Architect, Design, Develop, Implement and Maintain Architectural Solutions using BigData and Advanced Analytics utilizing NoSQL databases including DynamoDB, Cassandra, Hbase, Spark and data visualizations.
• Excellent data analytics skills along with querying and analyzing large amounts of data using Hadoop HDFS, Spark SQL, Hive, Pig, Hue, HiveQL,
• Strong experience in Data Management, Governance, and Controls Functions.
• Architect, Design and Build the Infrastructure to extract data from variety of relational Databases, manipulate, explore data using Statistical, Quantitative and Visualization tools.
• Build data and analytics tools that will offer deeper insights into the pipelines, allowing for critical discoveries surrounding key performance indicators.
• Architect, Design, Develop and Maintain custom complex ETL pipelines using various scripting languages including Python, Scala, Airflow, Spark, Hive, Pig, Parquet for EMR.
• Master level programming skills using Scripting and Programming languages including Python, Ruby, Java, JavaScript, NodeJS, Scala, etc
• Master level experience in BigData Frameworks, Machine Learning(Lex, Polly, Rekognition), Artificial Intelligence,
• Involved in managing infrastructure provisioning (S3, ELB, EC2, RDS, Route 53, IAM, security groups, VCP, NAT) and deployment
• Worked Confidential optimizing volumes and launching several EC2 instances in the VPC
• Involved with IAM to create new accounts, users, groups, and roles.
• Involved setting up alarms and notifications for EC2 instances using Cloud Watch.
• Implemented AWS solutions using EC2, S3, RDS, VPC, Elastic load balancer, Auto-scaling groups, Route53
• Involved in Deployment using configuration Management tool like Puppet to provision Amazon AWS Instances to enable continuous Deployments.
• Involved in maintaining the user accounts (IAM), RDS, Dynamo DB, Route 53, VPC, SES and SNS services in AWS cloud.
• Leveraging MicroSoft Azure Cloud services including IaaS, PaaS, SharePoint Online, OneDrive, etc.
• Hands on experience in working with various AD services including On-Premise AD, Azure AD, Federation SSO, AD Connect, IDAM (Identity, Directory, and Access Management)
• Define cloud architecture, design and implementation plans for hosting complex application workloads on MS Azure
• Architect solutions using MS Azure PaaS services such as SQL Server, HDInsight, service bus, etc
• Provide Azure technical expertise including strategic design and architectural mentorship, assessments, POCs, etc., in support of the overall sales lifecycle or consulting engagement process
• Azure API Management, Security, Cloud-to-Cloud Integration (Public, Private)
• Help partners develop their Data Platform and Analytics practices on SQL and Azure, including delivering offers to the market based on professional services, managed services and/or IP. Relevant workloads include Dashboards & data visualization, Big Data, Data Warehousing, Advanced & Predictive Analytics Data Platform Modernization, Database Migration and Internet of Things
• Designing, Implementing, Architecting cloud solutions using various Azure Cloud Services including Azure as IDP, MFA Solutions, AD, IDAM, AD Schema, Third party SSO/SAML, ADFS, IDP over internet, corporate network and VPN first.
• Configuring and Networking of Virtual Private Cloud (VPC).
• More than 9 years of experience in design and develop Test Automation Frameworks for complex/critical systems using industry leading open source as well as commercial test automation tools and technologies which includes web-based applications, Legacy Systems, Mobile Devices, etc…
• Over 5 years of experience in Mid-tier automation like directly mocking development classes.
• Over 5 years of experience in Performance Testing with design and developer framework.
• Expertise experience in testing critical products and applications
• Selenium with Cucumber, Protractor, Java, Jenkins, Bamboo, JavaScript, Ruby, Python, Perl, Smart bear SoapUI, Parasoft SOATest, Postman, Groovy, Advanced REST Client, JBehave, Fitnesse, TestNG, Junit, HP UFT/QTP, Jira, Rally, Version, Scrumworks, GIT, GitBash, Stash, Jasmine, NodeJS, AngularJS, VBScript, Appium, Jmeter, HP Performance Test Suite, AutoIT, TFS, .Net, C#, CT (Continuous Testing)/CI (Continuous Integration)/CD (Continuous Delivery)., TFS, VersionOne, ANT, Maven, .
• Pretty good number of years in developing applications from scratch using complex applications.
• Did feasibility study and come up Test Automation Framework POC, Test Automation Planning, Strategy and Methodology, along with Test Execution and sign-off.
• TDD/BDD/ATDD, Agile, Scrum, V-Model, and Waterfall.
• Design and develop TDD/BDD/ATDD frameworks using Cucumber with Java and JavaScript, Cucumber with Ruby, Protractor with JavaScript for NGA/AngularUS applications, Sahi, JBehave with Java for web applications.
• Strong hands on frameworks implementation experience with Web Services (SOAP & REST) testing with Smartbear SoapUI with Groovy and Parasoft SOATest with JavaScript.
• Diversified hands on experience in Design and Develop Hybrid, Keyword Driven, Data-Driven, Modular, and POM frameworks from Scratch using open source automation tool Selenium WebDriver, TestNG, JUnit, ANT, Maven, Bamboo, Jenkins, Etc.
• Experience in working with various Azure Cloud Services including Linux Virtual Machines, Windows Virtual Machines, Managed Disks, File Storage, SQL Database, Azure Cosmos DB, Bandwidth, Functions, Event Grid.
• Involved in managing infrastructure provisioning Linux Virtual Machines, Windows Virtual Machines, Managed Disks, along with various services including but no limited to BLOB Storage, File Storage, Azure DevOps, Advisor, MicroSoft IoT Hub, Load Balancer, Search, Automation, Batch, Virtual Networks, etc.
• Set and communicate automation strategies and processes for web services, APIs, middleware, UI etc., evaluate and implement software test automation tools and tooling standards.
• Implemented report generation utility in HP ALM.
• Exceptional experience in business process tests, business components, test script development, test script execution, reviewing test scripts, and coordination using both the automation tools HP UFT/QTP and Selenium WebDriver.
• Providing design time review and guidance to teams building, deploying and migrating new applications that leverage Google Cloud Platform.
• Design and architecture with various Google Cloud Platform devices including but not limited to Computing, Google App Engine, Google Compute Engine, Google Container Engine, Cloud Storage and Databases like Google Cloud SQL,, Google Cloud Storage, Google Cloud Spanner, Google Cloud Networking services includes Google Cloud DNS, Google Cloud Interconnect, Google Cloud VPN, and BigData tools.
• Working in deploying, maintaining, monitoring production grade solutions in virtualized environments such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.
• Expertise in BDD, Hybrid, Keyword Driven, Data-Driven and Modular frameworks implementation using open source automation tool Selenium WebDriver.
• Exceptional experience in using open source test automation tools like TestNG, JUNIT, Selenium WebDriver, Selenium RC, Selenium IDE, ANT, Cucumber, Jbehave, Fitnesse.
• Experience in writing VUGen and Controller Scenario test scripts for performance and load testing of software using HP Load Runner.
• Strong Experience in HP ALM Administration.
• Experience in using the test management tools like HP Application Lifecycle Management/Quality Center, Microsoft Test Manager, Rational Clear Quest, Test Director, Scrum Works, JIRA and Versionone.
• Exceptional Experience in testing Mainframe, Java, J2EE, SAP, Siebel, .NET and Oracle Apps applications and developing various automation frameworks using the automation tools HP UFT/QTP and Selenium WebDriver from scratch.
• Influence, develop and execute QA process and testing best practices
• Experience in documenting and reporting quality assurance metrics to the management team using various statistical analysis techniques.
• Expertise in conducting Black box testing, White box testing, Back-end testing, Functional testing, Integration testing, System testing, and Regression testing.
• Capable in managing and leading multiple projects concurrently in conjunction with different teams that are involved in the project life cycle.
• Highly motivated and experienced professional with excellent interpersonal, communication skills and team spirit.

PROFESSIONAL EXPERIENCE:

AWS Solutions Architect/Big Data - Professional

Confidential, Raleigh, NC

Responsibilities:

• Experience in maintenance and configuration of user accounts for Production, Dev, QA servers and created roles for EC2, RDS, S3, CloudWatch, EBS resources to communicate with each other using IAM.
• Experience in migrating and implementation of multiple applications from on premise to cloud using AWS services like SMS, DBMS, CloudFormation, S3, Route53 Glacier, EC2, RDS, SQS, SNS, Lambda, and VPC.
• Build and configure a virtual data center in AWS Cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.
• Have been working with implementing Microservices and web services over 7 years.
• Build servers using AWS, importing volumes, launching EC2, RDS, Creating security groups, auto-scaling, load balancers(ELBs) in the defined virtual private connection.
• Designed AWS Cloud Formation templates to create multi region web applications and databases.
• The configuration of Continuous Integration (CI) and Continuous Deliver (CD) using CodePipeline and CodeDeploy for automation.
• Involved in managing infrastructure provisioning (S3, ELB, EC2, RDS, Route 53, IAM, security groups, VCP, NAT) and deployment
• Worked Confidential optimizing volumes and launching several EC2 instances in the VPC
• Involved with IAM to create new accounts, users, groups, and roles.
• Have hands on implementation experience with Confidential Terraform.
• Extensively implemented MangoDB, DynamoDB, Cassandra for NoSQL data store.
• Using various containers like Docker, Chef, AKS, GCS, ECS, Ansible, Puppet, etc.
• Extensively using AWS Lambda in integration with APIGee, APIGateway, Cognito for serverless application design and development
• Implemented REST and SOAP web services using industry leading tools and technologies and best practices and API documentation and store them in SharePoint for the project teams
• Using GitHub, Bit Bucket, Git, SVN, Jenkins, Bamboo for project repositories and DevOps CI/CT/CD setup.
• Design high availability environment for Web servers and database servers on EC2 by using ELB and Auto-scaling.
• Create S3 bucket, give access to user/role based polices and configure lifecycle management of the data.
• Hands on experience in Architectures, Designing, Implementing and Maintaining various BigData frameworks including Hadoop, Predix, Spark SQL, Hive, Impala, Pig, Hbase, Kafka, Oozie, Flume, Zookeeper, Sqoop, Presto, Zeppelin, Gangilla, HCatelog, Tez,
• Hands on experience in extending and utilizing ETL solutions Informatica, Talend, Pentaho, Ab Initio, etc in complex and high volume data environments.
• Architect, Design, Develop, Implement and Maintain Architectural Solutions using BigData and Advanced Analytics utilizing NoSQL databases including DynamoDB, Cassandra, Hbase, Spark and data visualizations.
• Excellent data analytics skills along with querying and analyzing large amounts of data using Hadoop HDFS, Spark SQL, Hive, Pig, Hue, HiveQL,
• Strong experience in Data Management, Governance, and Controls Functions.
• Architect, Design and Build the Infrastructure to extract data from variety of relational Databases, manipulate, explore data using Statistical, Quantitative and Visualization tools.
• Build data and analytics tools that will offer deeper insights into the pipelines, allowing for critical discoveries surrounding key performance indicators.
• Master level experience in BigData Frameworks, Machine Learning(Lex, Polly, Rekognition), Artificial Intelligence,
• Architect, Design, Develop and Maintain custom complex ETL pipelines using various scripting languages including Python, Scala, Airflow, Spark, Hive, Pig, Parquet for EMR.
• Master level programming skills using Scripting and Programming languages including Python, Ruby, Java, JavaScript, NodeJS, Scala, etc
• Create load balancers i.e. ELB and used Route53 with failover and latency options for high availability and fault tolerance.
• Also used AWS Route53 to make sure traffic was routed between different regions.
• Create S3 backups by enabling versioning and moving objects to Amazon Glacier for archiving purposes.
• Continuous Integration and Continuous Delivery using Jenkins.
• Involved setting up alarms and notifications for EC2 instances using Cloud Watch.
• Implemented AWS solutions using EC2, S3, RDS, VPC, Elastic load balancer, Auto-scaling groups, Route53
• Involved in Deployment using configuration Management tool like Puppet to provision Amazon AWS Instances to enable continuous Deployments.
• Involved in maintaining the user accounts (IAM), RDS, Dynamo DB, Route 53, VPC, SES and SNS services in AWS cloud.
• Leveraging MicroSoft Azure Cloud services including IaaS, PaaS, SharePoint Online, OneDrive, etc.
• Hands on experience in working with various AD services including On-Premise AD, Azure AD, Federation SSO, AD Connect, IDAM (Identity, Directory, and Access Management)
• Define cloud architecture, design and implementation plans for hosting complex application workloads on MS Azure
• Architect solutions using MS Azure PaaS services such as SQL Server, HDInsight, service bus, etc
• Provide Azure technical expertise including strategic design and architectural mentorship, assessments, POCs, etc., in support of the overall sales lifecycle or consulting engagement process
• Azure API Management, Security, Cloud-to-Cloud Integration (Public, Private)
• Experience in working with various Azure Cloud Services including Linux Virtual Machines, Windows Virtual Machines, Managed Disks, File Storage, SQL Database, Azure Cosmos DB, Bandwidth, Functions, Event Grid.
• Involved in managing infrastructure provisioning Linux Virtual Machines, Windows Virtual Machines, Managed Disks, along with various services including but no limited to BLOB Storage, File Storage, Azure DevOps, Advisor, MicroSoft IoT Hub, Load Balancer, Search, Automation, Batch, Virtual Networks, etc.
• Providing design time review and guidance to teams building, deploying and migrating new applications that leverage Google Cloud Platform.
• Design and architecture with various Google Cloud Platform devices including but not limited to Computing, Google App Engine, Google Compute Engine, Google Container Engine, Cloud Storage and Databases like Google Cloud SQL,, Google Cloud Storage, Google Cloud Spanner, Google Cloud Networking services includes Google Cloud DNS, Google Cloud Interconnect, Google Cloud VPN, and BigData tools.
• Working in deploying, maintaining, monitoring production grade solutions in virtualized environments such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.
• Configuring and Networking of Virtual Private Cloud (VPC).
• Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
• Extensive experience with Savyint.
• Designed AWS Cloud Formation templates to create multi region Web applications and databases.
• The configuration of Continuous Integration (CI) and Continuous Delivery (CD) using CodePipeline and CodeDeploy for automation.

AWS Solutions Architect/Big Data - Professional

Confidential, Malvern, PA

Responsibilities:

• Extensive experience working on Cloud solutions using Amazon Web services (AWS)
• Successfully designed and delivered secure cloud solutions for some of the Major organizations on AWS Cloud.
• Extensive experience in working with various AWS Services including EC2, VPC (NAT, Peering, VPN), IAM, EC2 Container service, Elastic Beanstalk, Lambda, S3, CloudFront, Glacier, RDS, DynamoDB, ElastiiCache, Redshift, Direct Connect, Route 53, cloudwatch, CloudFormation, CloudTrial, Opsworks, Amazon Elastic Map Reduce (EMR), AWS IoT, SNS, SQS, Lambda, API Gateway, AWS Alexa etc.
• Hands on experience in Architectures, Designing, Implementing and Maintaining various BigData frameworks including Hadoop, Predix, Spark SQL, Hive, Impala, Pig, Hbase, Kafka, Oozie, Flume, Zookeeper, Sqoop, Presto, Zeppelin, Gangilla, HCatelog, Tez,
• Hands on experience in extending and utilizing ETL solutions Informatica, Talend, Pentaho, Ab Initio, etc in complex and high volume data environments.
• Extensively implemented MangoDB, DynamoDB, Cassandra for NoSQL data store.
• Using various containers like Docker, Chef, AKS, GCS, ECS, Ansible, Puppet, etc.
• Extensively using AWS Lambda in integration with APIGee, APIGateway, Cognito for serverless application design and development
• Implemented REST and SOAP web services using industry leading tools and technologies and best practices and API documentation and store them in SharePoint for the project teams
• Using GitHub, Bit Bucket, Git, SVN, Jenkins, Bamboo for project repositories and DevOps CI/CT/CD setup.
• Hands on implementation with Microservices and web services
• Architect, Design, Develop, Implement and Maintain Architectural Solutions using BigData and Advanced Analytics utilizing NoSQL databases including DynamoDB, Cassandra, Hbase, Spark and data visualizations.
• Excellent data analytics skills along with querying and analyzing large amounts of data using Hadoop HDFS, Spark SQL, Hive, Pig, Hue, HiveQL,
• Have hands on implementation experience with Confidential Terraform.
• Strong experience in Data Management, Governance, and Controls Functions.
• Architect, Design and Build the Infrastructure to extract data from variety of relational Databases, manipulate, explore data using Statistical, Quantitative and Visualization tools.
• Build data and analytics tools that will offer deeper insights into the pipelines, allowing for critical discoveries surrounding key performance indicators.
• Master level experience in BigData Frameworks, Machine Learning(Lex, Polly, Rekognition), Artificial Intelligence,
• Architect, Design, Develop and Maintain custom complex ETL pipelines using various scripting languages including Python, Scala, Airflow, Spark, Hive, Pig, Parquet for EMR.
• Master level programming skills using Scripting and Programming languages including Python, Ruby, Java, JavaScript, NodeJS, Scala, etc
• Experience working on Administering various AWS Services using AWS Console, AWS CLI and using Amazon Api using python, Node.js & Java.
• Provision AWS resources using management console as well as Command Line Interface. (CLI)
• Plan, build and configure network infrastructure within VPC with public and private subnets, configure routing tables and internet gateway.
• Responsible for launching EC2 instances w/ Linux AMI and bootstrapping with Apache using Bash scripting, using auto-scaling and load balancers (ELB).
• Define Security Groups depending on access parameters provided.
• Create IAM user accounts and role based policies for access to AWS services.
• Use CloudWatch to set alarms, auto-scaling groups, generate notifications, and respond to changes in AWS environments.
• Experience in working with various Azure Cloud Services including Linux Virtual Machines, Windows Virtual Machines, Managed Disks, File Storage, SQL Database, Azure Cosmos DB, Bandwidth, Functions, Event Grid.
• Involved in managing infrastructure provisioning Linux Virtual Machines, Windows Virtual Machines, Managed Disks, along with various services including but no limited to BLOB Storage, File Storage, Azure DevOps, Advisor, MicroSoft IoT Hub, Load Balancer, Search, Automation, Batch, Virtual Networks, etc.
• Providing design time review and guidance to teams building, deploying and migrating new applications that leverage Google Cloud Platform.
• Design and architecture with various Google Cloud Platform devices including but not limited to Computing, Google App Engine, Google Compute Engine, Google Container Engine, Cloud Storage and Databases like Google Cloud SQL,, Google Cloud Storage, Google Cloud Spanner, Google Cloud Networking services includes Google Cloud DNS, Google Cloud Interconnect, Google Cloud VPN, and BigData tools.
• Working in deploying, maintaining, monitoring production grade solutions in virtualized environments such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.
• Experience Develop and manage cloud VM's with AWS EC2 command line clients and management console.
• Experience managing AWS Route53 to route traffic between different regions set alarms and notifications for EC2 instances using Cloud Watch.
• Designed and implemented for elasticity and scalability using ElastiCache, CloudFront - Edge locations, RDS (read replicas, instance sizes) etc
• Architected and configured Dev/Stage/QA environments in AWS (VPC, subnets, security groups, EC2 instances, load balancer, RDS, Redis, route53, etc)
• Leveraging MicroSoft Azure Cloud services including IaaS, PaaS, SharePoint Online, OneDrive, etc.
• Hands on experience in working with various AD services including On-Premise AD, Azure AD, Federation SSO, AD Connect, IDAM (Identity, Directory, and Access Management)
• Define cloud architecture, design and implementation plans for hosting complex application workloads on MS Azure
• Architect solutions using MS Azure PaaS services such as SQL Server, HDInsight, service bus, etc
• Provide Azure technical expertise including strategic design and architectural mentorship, assessments, POCs, etc., in support of the overall sales lifecycle or consulting engagement process
• Azure API Management, Security, Cloud-to-Cloud Integration (Public, Private)
• Help partners develop their Data Platform and Analytics practices on SQL and Azure, including delivering offers to the market based on professional services, managed services and/or IP. Relevant workloads include Dashboards & data visualization, Big Data, Data Warehousing, Advanced & Predictive Analytics Data Platform Modernization, Database Migration and Internet of Things
• Azure API Management, Security, Cloud-to-Cloud Integration (Public, Private)
• Help partners develop their Data Platform and Analytics practices on SQL and Azure, including delivering offers to the market based on professional services, managed services and/or IP. Relevant workloads include Dashboards & data visualization, Big Data, Data Warehousing, Advanced & Predictive Analytics Data Platform Modernization, Database Migration and Internet of Things
• Azure API Management, Security, Cloud-to-Cloud Integration (Public, Private)
• Implemented security best practices in AWS including multi factor authentication, access key rotation, role based permissions, enforced strong password policy, configured security groups and NACLs, S3 bucket policies and ACLs, etc
• Optimized cost through reserved instances, selection and changing of EC2 instance types based on resource need, S3 storage classes and S3 lifecycle policies, leveraging Autoscaling etc
• Hands on experience with Savyint.
• Leveraged EC2 CreateSnapshot API call to create snapshots of EBS Volumes on scheduled intervals
• Configured CloudWatch alarm rules for operational and performance metrics for our AWS resources and applications
• Experience installing the application on AWS EC2 instances and configure the storage on S3 buckets.
• Experience in configuring AWS S3 with lifecycle policies to backup files and archive files in Amazon Glacier.

AWS Solutions Architect/Big Data - Professional

Confidential, Raleigh, NC

Responsibilities:

• Design, implement and maintain all AWS infrastructure and services within a managed service environment.
• Design, deploy and maintain enterprise class security, network and systems management applications within an AWS environment.
• Designing and deploying AWS Solutions using EC2, S3, EBS, ELB, auto scaling groups.
• Involved in managing infrastructure provisioning (S3, ELB, EC2, RDS, Route 53, IAM, security groups, VCP, NAT) and deployment
• Hands on experience in Architectures, Designing, Implementing and Maintaining various BigData frameworks including Hadoop, Predix, Spark SQL, Hive, Impala, Pig, Hbase, Kafka, Oozie, Flume, Zookeeper, Sqoop, Presto, Zeppelin, Gangilla, HCatelog, Tez,
• Hands on experience in extending and utilizing ETL solutions Informatica, Talend, Pentaho, Ab Initio, etc in complex and high volume data environments.
• Architect, Design, Develop, Implement and Maintain Architectural Solutions using BigData and Advanced Analytics utilizing NoSQL databases including DynamoDB, Cassandra, Hbase, Spark and data visualizations.
• Excellent data analytics skills along with querying and analyzing large amounts of data using Hadoop HDFS, Spark SQL, Hive, Pig, Hue, HiveQL,
• Extensively implemented MangoDB, DynamoDB, Cassandra for NoSQL data store.
• Using various containers like Docker, Chef, AKS, GCS, ECS, Ansible, Puppet, etc.
• Extensively using AWS Lambda in integration with APIGee, APIGateway, Cognito for serverless application design and development
• Implemented REST and SOAP web services using industry leading tools and technologies and best practices and API documentation and store them in SharePoint for the project teams
• Using GitHub, Bit Bucket, Git, SVN, Jenkins, Bamboo for project repositories and DevOps CI/CT/CD setup.
• Strong experience in Data Management, Governance, and Controls Functions.
• Architect, Design and Build the Infrastructure to extract data from variety of relational Databases, manipulate, explore data using Statistical, Quantitative and Visualization tools.
• Build data and analytics tools that will offer deeper insights into the pipelines, allowing for critical discoveries surrounding key performance indicators.
• Master level experience in BigData Frameworks, Machine Learning(Lex, Polly, Rekognition), Artificial Intelligence,
• Architect, Design, Develop and Maintain custom complex ETL pipelines using various scripting languages including Python, Scala, Airflow, Spark, Hive, Pig, Parquet for EMR.
• Master level programming skills using Scripting and Programming languages including Python, Ruby, Java, JavaScript, NodeJS, Scala, etc
• Worked Confidential optimizing volumes and launching several EC2 instances in the VPC
• Involved with IAM to create new accounts, users, groups, and roles.
• Involved setting up alarms and notifications for EC2 instances using Cloud Watch.
• Implemented AWS solutions using EC2, S3, RDS, VPC, Elastic load balancer, Auto-scaling groups, Route53
• Involved in Deployment using configuration Management tool like Puppet to provision Amazon AWS Instances to enable continuous Deployments.
• Involved in maintaining the user accounts (IAM), RDS, Dynamo DB, Route 53, VPC, SES and SNS services in AWS cloud.
• Configuring and Networking of Virtual Private Cloud (VPC).
• Also used AWS Route53 to make sure traffic was routed between different regions.
• Create S3 backups by enabling versioning and moving objects to Amazon Glacier for archiving purposes.
• Continuous Integration and Continuous Delivery using Jenkins.
• Define AWS Security Groups which act as virtual firewalls that controlled the traffic allowed reaching one or more AWS EC2 instances.
• Experience in working with various Azure Cloud Services including Linux Virtual Machines, Windows Virtual Machines, Managed Disks, File Storage, SQL Database, Azure Cosmos DB, Bandwidth, Functions, Event Grid.
• Involved in managing infrastructure provisioning Linux Virtual Machines, Windows Virtual Machines, Managed Disks, along with various services including but no limited to BLOB Storage, File Storage, Azure DevOps, Advisor, MicroSoft IoT Hub, Load Balancer, Search, Automation, Batch, Virtual Networks, etc.
• Used Amazon IAM tool and created groups & permissions for users to work collaboratively.
• Experience in maintenance and configuration of user accounts for dev, QA, and production servers and created roles for EC2, RDS, S3, CloudWatch, EBS resources to communicate with each other using IAM.
• Experience in migrating and implementation of multiple applications from on premise to cloud using AWS services like SMS, DBMS, CloudFormation, S3, Route53 Glacier, EC2, RDS, SQS, SNS, Lambda, Zenoss, Zabbix, CloudWatch, RedShift, Kinesis, Terraform and VPC.
• Leveraging MicroSoft Azure Cloud services including IaaS, PaaS, SharePoint Online, OneDrive, etc.
• Hands on experience in working with various AD services including On-Premise AD, Azure AD, Federation SSO, AD Connect, IDAM (Identity, Directory, and Access Management)
• Define cloud architecture, design and implementation plans for hosting complex application workloads on MS Azure
• Architect solutions using MS Azure PaaS services such as SQL Server, HDInsight, service bus, etc
• Provide Azure technical expertise including strategic design and architectural mentorship, assessments, POCs, etc., in support of the overall sales lifecycle or consulting engagement process
• Azure API Management, Security, Cloud-to-Cloud Integration (Public, Private)
• Build and configure a virtual data center in the Amazon Web Services cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.
• Providing design time review and guidance to teams building, deploying and migrating new applications that leverage Google Cloud Platform.
• Design and architecture with various Google Cloud Platform devices including but not limited to Computing, Google App Engine, Google Compute Engine, Google Container Engine, Cloud Storage and Databases like Google Cloud SQL,, Google Cloud Storage, Google Cloud Spanner, Google Cloud Networking services includes Google Cloud DNS, Google Cloud Interconnect, Google Cloud VPN, and BigData tools.
• Working in deploying, maintaining, monitoring production grade solutions in virtualized environments such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.
• Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
• Have hands on implementation experience with Confidential corp Terraform.
• Designed AWS Cloud Formation templates to create multi region Web applications and databases.
• The configuration of Continuous Integration (CI) and Continuous Delivery (CD) using CodePipeline and CodeDeploy for automation.
• Configuration and administration of Load Balancers, Network and Auto scaling for high availability.
• Design for high availability and business continuity using self-healing-based architectures, fail-over routing policies, multi-AZ deployment of EC2 instances, ELB health checks, Auto Scaling and other disaster recovery models.
• Configured AWS IAM and Security Group in Public and Private Subnets in VPCDesign and develop automation framework using Selenium Web driver in integration with which includes Appium for Mobile Devices.

AWS Solutions Architect/Big Data - Associate

Confidential, Dallas, TX

Responsibilities:

• Design, implement and maintain all AWS infrastructure and services within a managed service environment.
• Design, deploy and maintain enterprise class security, network and systems management applications within an AWS environment.
• Designing and deploying AWS Solutions using EC2, S3, EBS, ELB, auto scaling groups.
• Involved in managing infrastructure provisioning (S3, ELB, EC2, RDS, Route 53, IAM, security groups, VCP, NAT) and deployment
• Hands on experience in Architectures, Designing, Implementing and Maintaining various BigData frameworks including Hadoop, Predix, Spark SQL, Hive, Impala, Pig, Hbase, Kafka, Oozie, Flume, Zookeeper, Sqoop, Presto, Zeppelin, Gangilla, HCatelog, Tez,
• Hands on experience in extending and utilizing ETL solutions Informatica, Talend, Pentaho, Ab Initio, etc in complex and high volume data environments.
• Extensively implemented MangoDB, DynamoDB, Cassandra for NoSQL data store.
• Using various containers like Docker, Chef, AKS, GCS, ECS, Ansible, Puppet, etc.
• Extensively using AWS Lambda in integration with APIGee, APIGateway, Cognito for serverless application design and development
• Implemented REST and SOAP web services using industry leading tools and technologies and best practices and API documentation and store them in SharePoint for the project teams
• Using GitHub, Bit Bucket, Git, SVN, Jenkins, Bamboo for project repositories and DevOps CI/CT/CD setup.
• Architect, Design, Develop, Implement and Maintain Architectural Solutions using BigData and Advanced Analytics utilizing NoSQL databases including DynamoDB, Cassandra, Hbase, Spark and data visualizations.
• Excellent data analytics skills along with querying and analyzing large amounts of data using Hadoop HDFS, Spark SQL, Hive, Pig, Hue, HiveQL,
• Strong experience in Data Management, Governance, and Controls Functions.
• Architect, Design and Build the Infrastructure to extract data from variety of relational Databases, manipulate, explore data using Statistical, Quantitative and Visualization tools.
• Build data and analytics tools that will offer deeper insights into the pipelines, allowing for critical discoveries surrounding key performance indicators.
• Master level experience in BigData Frameworks, Machine Learning(Lex, Polly, Rekognition), Artificial Intelligence,
• Architect, Design, Develop and Maintain custom complex ETL pipelines using various scripting languages including Python, Scala, Airflow, Spark, Hive, Pig, Parquet for EMR.
• Master level programming skills using Scripting and Programming languages including Python, Ruby, Java, JavaScript, NodeJS, Scala, etc
• Worked Confidential optimizing volumes and launching several EC2 instances in the VPC
• Involved with IAM to create new accounts, users, groups, and roles.
• Involved setting up alarms and notifications for EC2 instances using Cloud Watch.
• Implemented AWS solutions using EC2, S3, RDS, VPC, Elastic load balancer, Auto-scaling groups, Route53
• Involved in Deployment using configuration Management tool like Puppet to provision Amazon AWS Instances to enable continuous Deployments.
• Involved in maintaining the user accounts (IAM), RDS, Dynamo DB, Route 53, VPC, SES and SNS services in AWS cloud.
• Adaptive to Cloud Strategies in Amazon Web Services. Cloud exposure of IAAS, PASS, and SAAS based solution.
• Expertise in AWS cloud services such as EC2, S3, ELB, Auto scaling, EBS, RDS, VPC, Subnets, Security Groups, Elastic IP, Internet Gateway, Route Tables, Route53, Cloud Watch, IAM, SQS, SNS and SES.
• Expertise in architecting the design, scalability, high availability, Disaster Recovery. Design Cloud Infrastructures, providing solutions based on a range of Cloud technologies and services
• Design on Cloud Infrastructures, providing solutions based on a range of Cloud technologies and services
• Created user, roles and groups for using resources in AWS Identity Access Management.
• Hands on experience in migrating several applications from on premise applications to cloud.
• Configure Security Groups, Network ACL's, Subnets, Route Tables, Elastic Ip's and Internet Gateway in VPC.
• Manage and configure AWS services as per the business needs (EC2, S3, Route53, RDS, IAM, SNS, VPC, SES)
• Design high availability environment for Web servers and database servers on EC2 by using ELB and Auto-scaling.
• Create S3 bucket, give access to user/role based polices and configure lifecycle management of the data.
• Configuring and Networking of Virtual Private Cloud (VPC).
• Experience in working with various Azure Cloud Services including Linux Virtual Machines, Windows Virtual Machines, Managed Disks, File Storage, SQL Database, Azure Cosmos DB, Bandwidth, Functions, Event Grid.
• Involved in managing infrastructure provisioning Linux Virtual Machines, Windows Virtual Machines, Managed Disks, along with various services including but no limited to BLOB Storage, File Storage, Azure DevOps, Advisor, MicroSoft IoT Hub, Load Balancer, Search, Automation, Batch, Virtual Networks, etc.
• Leveraging MicroSoft Azure Cloud services including IaaS, PaaS, SharePoint Online, OneDrive, etc.
• Hands on experience in working with various AD services including On-Premise AD, Azure AD, Federation SSO, AD Connect, IDAM (Identity, Directory, and Access Management)
• Define cloud architecture, design and implementation plans for hosting complex application workloads on MS Azure
• Architect solutions using MS Azure PaaS services such as SQL Server, HDInsight, service bus, etc
• Provide Azure technical expertise including strategic design and architectural mentorship, assessments, POCs, etc., in support of the overall sales lifecycle or consulting engagement process
• Azure API Management, Security, Cloud-to-Cloud Integration (Public, Private)
• Help partners develop their Data Platform and Analytics practices on SQL and Azure, including delivering offers to the market based on professional services, managed services and/or IP. Relevant workloads include Dashboards & data visualization, Big Data, Data Warehousing, Advanced & Predictive Analytics Data Platform Modernization, Database Migration and Internet of Things
• Configured AWS IAM and Security Group in Public and Private Subnets in VPC.

Confidential, VA

Test Automation Architect

Responsibilities:

• Design and develop automation framework using Selenium Web driver in integration with Jenkins which includes Appium for Mobile Devices.
• Develop and execute Integration, End to End, Regression and UAT test suites for Mobile Devices using Appium tool.
• Cucumber features files implementation and in integration with Jenkins.
• Design and develop Regression Test Suite, Smoke Test Suite and UAT Test Suites and setup unattended/nightly execution using Jenkins.
• Involved in various phases of Software Development Life Cycle (SDLC) of the application like Requirement gathering, Design, Analysis and Code development.
• Involved in Agile Development process and daily SCRUM meetings.
• Created an UML diagram that includes Sequence Diagrams, Class Diagrams & use case diagrams as part of the application design using Micro Soft Visio tool.
• Implemented TDD, BDD, and ATDD frameworks using Selenium and cucumber in integration with cucumber.
• Used CXF API to generate Restful web services.
• Worked on running and managing web Apps using AWS Elastic Beanstalk.
• Designed and developed UI pages with AJAX, HTML, XHTML, DHTML, jQuery, CSS and JavaScript, AngularJS, Node-JS, JSP, JSON and Tag libraries.
• Design and develop test automation strategy for large, complex, cross-functional projects.
• Implementing step definition implementations for the feature files come up for Requirements.
• Developing Junit Tests and using Easy Mock interface for the same.
• Automated Test web applications across multiple browsers across cross platforms.
• Reviewed the automated test scripts and helped the team members in improving the automated test scripts development.
• Assisting developers with robust unit, component, commit, build and deploy, CI, CD test automation.
• Implemented Page Object Model (POM) using Selenium WebDriver for better maintenance and management of automation framework.
• Build Cucumber framework from scratch to increase reuse and reduce manual efforts and cost.
• TDD and BDD implementation in Agile Sprint life cycle models.
• Active participation in Sprint Planning, Sprint Retrospective and daily standups.
• Re-architected existing BDD Protractor framework using POM for better management and maintenance purpose to test Lighthouse UI and functional validations.
• Come up with frameworks supporting utility functions including HTML Utility, Database Utility, Common Utility, POM attributes and supporting methods, Excel Utility, Web services Utility, ALM Integration Utility, and Jenkins Dashboard Integration utility functions.
• Create Smoke Test Suite, Regression Test Suite, UAT and Integration Test Suites and setup Unattended/Night execution schedulers.
• Design and develop automation framework using Parasoft SOA Test to test Digital Platform middleware SOAP and REST web services.
• Automated web applications across multiple browsers to perform cross platform compatibility for browsers and Operating Systems.
• Reviewed the automated test scripts and helped the team members in improving the automated test scripts development.
• Set and communicate automation strategies and processes for web services, APIs, middleware, UI etc., evaluate and implement software test automation tools and tooling standards.
• Following agile methodology implementation and provided valuable suggestions in stabilizing agile processes and standards.
• Leading and managing onshore and offshore teams.
• Influence, develop and execute QA process and testing best practices

Environment: Appium, JSP, Spring 3.0, Design Patterns, EJB, XML, Angular2, SQL, PL/SQL Developer, JAX-WS, WSDL, soapUI, Hibernate, Web Sphere 8.5, tc Server, Maven, Jenkins, Trac, SVN, Tortoise SVN, Checkstyle, AJAX, jQuery, RSA, JUnit, UML, Log4j, Web services, SOAP, XSLT, Selenium WebDriver with SauceLabs Integration, Cucumber with Ruby, SAHI, ALM 12, Java, .NET, C#, Html, JavaScript, JSON, XML, TDD, BDD, ATDD, SOAP and REST Web services, WebdriverJS, Node.JS and Jasmine.