SUMMARY

• Over 12 years of IT experience in SDLC, IT Operations and Cloud Technologies
• Strong working experience in Infrastructure operations on cloud - based platforms like Amazon web services (AWS), Google Cloud Platform (GCP) and Azure.
• Working experience in migrating data from On-prem to Cloud.
• Managed 100% cloud environments, automation, monitoring metrics, disaster recovery setup and capacity planning.
• Experience in automating the build and deploy process using tool such as Chef, puppet, Docker, Ansible, Terraform and Terragrunt.
• Good understanding of automating deployment, scaling, and management of containerized applications like Kubernetes, docker.
• Good experience with SQL and NoSQL databases.
• Experience in analyzing data using Spark SQL, HIVEQL, Spark/Scala and custom MapReduce programs
• Good experience in complete project life cycle (design, development, testing and implementation) of Client Server and Web applications.
• Expertise in improving business processes and breaking things down to simplify and resolve any tasks.
• Contribute strong project management, hands on technical acumen and business analytical skills to define business objectives and project scope.
• Efficient in leading and delivering organization and project objectives.

TECHNICAL SKILLS

Cloud Technologies: Amazon web services (AWS), Google Cloud Platform (GCP) and Azure.

Cloud services: API gateway, Containerization, Kubernetes, Cloud Front, Cloud watch, Cognito, Dynamo DB, EC2 Auto Scaling, ECR, ECS, EFS, EKS, Redis, EMR, kinesis, SQL server, Redshift, Route 53, S3, SNS and SQS

Databases: Oracle 12C/10g/11g, MS SQL Server, Dynamo DB, Aurora

Programming Languages: Java, Python, Scala, SQL, MySQL, Unix Shell Scripting, Java script(JSON)

Identity Management: Access Management, Identity Management, OKTA, Saviynt, LDAP and Active Directory

Operating System: Redhat, Linux, Solaris, MS Windows, Unix.

Big Data: PySpark/Spark, Kafka, Kudu, Hive, Hue, Sqoop, Impala, Yarn.

PROFESSIONAL EXPERIENCE

Confidential

Senior Devops Engineer

Responsibilities:

• Manages and oversee the business unit which manages application system components.
• Collaborate with team leads, architects, product vendors, other contractors (especially the Data Center Hosting and Infrastructure contractors), and other operation centers to ensure availability and scalability of the solution.
• Provides Infrastructure and network support to large middleware system residing in multiple data centers and supporting 24/7 operations.
• Working knowledge of variety of databases (MySQL, NoSQL, Hadoop, MongoDB, Aurora etc.)
• Working knowledge of Big data technologies like Hadoop, Apache Spark.
• Working knowledge on java script (json).
• Have worked with configuring application integration and managing identity through OKTA.
• Familiarity with various cloud technologies such as AWS (EMR, RDS, Redshift, etc.) and Azure
• Implement technical solution as per the design and requirement.
• Provide technical support and apply technical solutions to work streams.
• Worked on streaming data and data coming from different sources using Amazon Kinesis.
• Working on filtering, Working experience with Data Lake and Peta bytes of data management
• Utilize AWS services like API gateway, Cloud Front, Cloud watch, Cognito, Dynamo DB, EC2 Auto Scaling, ECR, ECS, EFS, EKS, Redis, EMR, kinesis, SQL server, Redshift, Route 53, S3, SNS and SQS
• Work with various application partners to design and integrate the infrastructure service in a secure manner and maintain security of the data.
• Worked on Devops duties like Jenkins configurations, Ansible, puppet, chef, Terraform and Terragrunt to automate and build code pipeline and deploy to amazon web services.
• I wrote and maintained terraform and terragrunt scripts in the GitHub for managing infrastructure as a code.
• I have used the terraform and terragrunt scripts to deploy infrastructure services in the PROD, where the permissions are limited to only using terraform and terragrunt, thus streamlining the PROD environment configuration.
• Responsible for implementing creation of IAM roles using terraform, terragrunt and alantis.
• Responsible for creating AWS services like VPC, subnets, EC2 and other AWS services like Sagemaker and EMR clusters and its provisioning services using terraform, terragrunt and alantis.
• Also responsible for writing terraform scripts for cloudwatch alerts.
• I also worked on the atlantis workflow to review the terraform plan and apply once it is approved.
• Worked on Kubernetes, firewalls, security, load balancing and scaling.
• Implemented microservices in load balanced, highly available and fault tolerant Kubernetes environment.
• Created and developed multiple environments of different applications by provisioning Kubernetes clusters on AWS using docker, ansible and terraform.
• Worked on configuration applications in EC2 and routing traffic through API gateways.
• Support Agile sprint and work with the Development and Infrastructure team to deploy services in cloud.
• Actively involved in managing databases, deployment, Monitoring, config management, release management, build, containerization and security management.
• Work collaboratively with management, client and stakeholders to assist with data-related technical issues and support their data reporting needs
• Support the technical teams to design, develop, test and implement cost-effective strategies for assimilating and reporting of data
• Identify risks and form contingency plans as soon as possible
• Analyze existing operations and schedule training sessions and meetings to discuss improvements.
• Support the testing and auditing team members to ensure quality checks involved in reporting of sensitive data.

Confidential

Devops Engineer

Responsibilities:

• Provided Infrastructure and Devops support to large application residing in multiple data centers and supporting 24/7 operations.
• Have working knowledge of variety of databases (MySQL, NoSQL, Hadoop, MongoDB, etc.)
• Familiarity with various cloud technologies such as AWS (EMR, RDS, Redshift, etc.), GCP and Azure cloud services.
• Implement technical solution as per the design and requirement.
• Provide technical support and apply technical solutions to work streams.
• Worked on streaming data and data coming from different sources using Amazon Kinesis.
• Working on filtering, Working experience with Data Lake and Peta bytes of data management.
• Have experience integrating applications with OKTA and using it as identity provider.
• Utilize AWS services like API gateway, Cloud Front, Cloud watch, Cognito, Dynamo DB, EC2 Auto Scaling, ECR, ECS, EFS, EKS, Redis, EMR, kinesis, SQL server, Redshift, Route 53, S3, SNS and SQS
• Work with various application partners to design and integrate the infrastructure service in a secure manner and maintain security of the data.
• Worked on Devops duties like Jenkins configurations, Ansible, puppet, chef, Terraform and Terragrunt to automate and build code pipeline and deploy to amazon web services.
• Responsible for implementing creation of IAM roles using terraform, terragrunt and alantis.
• Responsible for creating AWS services like VPC, subnets, EC2 using terraform, terragrunt and alantis.
• Implemented microservices in load balanced, highly available and fault tolerant Kubernetes environment.
• Work collaboratively with management, client and stakeholders to assist with data-related technical issues and support their data reporting needs
• Support the technical teams to design, develop, test and implement cost-effective strategies for assimilating and reporting of data
• Support Agile sprint and work with the Development and Infrastructure team to deploy services in cloud.

Confidential

BI Consultant

Responsibilities:

• Led 20+ team members to success, delivering 80+ KPIs for various users, on single platform allowing leadership to measure, monitor and manage performance.
• Development of single platform and format to measure KPIs resulted in dramatic reduction of time spent on reviewing 35+ reports in different formats from 8+ data sources.
• Implemented KPI metadata reporting to assist standardization of measurement of various KPIs.
• Provided guidance and training to team members and consultants on new tools for documentation, analysis, development and testing to improve efficiency and accuracy of deliverables.
• Guided and managed stakeholder expectations to improve existing processes through adoption and utilization of available tools reducing overhead for multiple business units, promoting automation.
• Mentored developers and analysts in various tools for data quality management and predictive analytics tools such as Informatica and Tableau.