SUMMARY

• Overall, 6+ years in Azure and Build/Release Management, Windows Administration and support, Micro services, Continuous Integration/Continuous deployment for effective delivery of Projects on DevOps framework.
• 4+ years’ Experience on Cloud with Azure, AWS and GCP. Migrating SQL database toAzure data Lake, Azure data lake Analytics,Azure SQL Database, Data BricksandAzure SQL Data warehouseand Controlling and granting database accessand Migrating On premise databases toAzure Data lake storeusing Azure Data factory.
• Certified Azure Architect, AZ - 303, AZ-300.
• Strong experience as a LINUX/UNIX System Administratorand Production Support of various applications onSUN Solaris, Red Hat Linux and Windows environment.
• Experience in Administration/Maintenance of source control management systems, such as Sub Version (SVN), Perforce, TFS, GIT and knowledge of Clear Case.
• Extensive working experience with broad range of AWS Cloud Services like AWS EC2, ELB, Auto Scaling, VPC, AWS Route53, RDS, AWS S3, IAM, SNS, SQS, AWS Dynamo DB, Elastic search, EFS, AWS Cloud-Watch, Cloud Trail, Lambda, AWS Kinesis, Redshift Cluster, Glue and Ops Works.
• Extensive experience in designing and implementation ofcontinuous integration, continuous delivery, continuous deploymentthrough Jenkins.
• Expert in an Orchestration & Migration of CI/CD processes using Cloud Formation, Terraform Templates & Containerization of Infrastructure using Docker, which was set up in Vagrant, AWS, and VPCs.
• Involved in the functional usage and deployment of applications in Web Logic, Web Sphere and Apache Tomcat Server.
• Planning and implementing Disaster Recovery solutions, capacity planning, data archiving, backup/recovery strategies, Performance Analysis, and optimization.
• Well versed with migrating SQL Server databases to SQL Azure Database using SQL Azure Migration Wizard and Deployed application to AzureCloud.
• Hands-on experience in AzureCloudServices (PaaS & IaaS), Storage, Web Apps, Active Directory, Azure
• Container Service, VPN Gateway, Content Delivery Management, Traffic Manager, Azure Monitoring, OMS, Key Vault, Visual Studio Online (VSO), Cognitive Services (LUIS) and SQL Azure.
• Experienced in Azure Logic apps, Service Bus, Document DB and SQL Database. Expertise in using ADO.NET object such as connection Object, Command Object, Data Reader Object, Dataset Object and Data Adapter Object.
• Production experience in large environments using configuration management tools like Chef and Puppet.
• Experience in Continuous Integration/Deployment pipeline for the automatic deployment of artifacts applications to the required servers or environments in Jenkins CI.
• Experience in using tools likeDocker Compose,Kubernetes, forOrchestratingand deploying the services related to theContainersand with container-based deployments usingDocker, working withDocker images, Docker hub.
• Expertise in automating deployments, scaling, and operations of application containers across clusters of hosts, provided container-centric infrastructure by Kubernetes. Used Jenkins and pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
• Extensive working knowledge on automation for deployment/configuration of different application servers likeWebSphere, WebLogic, JBoss;Web Servers likeApache Tomcat andWeb containers likeNginx etc.
• Expert knowledge onMicrosoft proprietary SCOPElanguage specification(de-facto standard for all data related operations) for Microsoft Internal COSMOSplatform for most of, much of usage streams such asAzure Compute, Azure Storage, Azure SQL & Azure Doc DB.
• Worked with various scripting languages like Bash, Perl, Shell, Ruby, Power Shell, JSON, YAML, Groovy and Python and development languages like java, .Net, PHP, C#.
• Experience in using Atlassian tools like JIRA, Confluence, Bitbucket for ticketing. Splunk

TECHNICAL SKILLS

Operating Systems: Windows, Linux, Ubuntu, Solaris, and Mac OS X

Version Control: Git, Perforce, GitHub, GitLab, Stash, Subversion and Team Foundation Server

Programming Languages: Java, C#, Python, C, C++

Configuration Management: Chef, Puppet and Ansible

Containerization Tools: Docker and Kubernetes

Cloud: AWS EC2, VPC, EBS, AMI, SNS, RDS, EBS, AWS Console, AWS Elastic cache, AWS Red shift, Azure.

Cloud Infrastructure: Azure Cloud, Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse

Build Tools: ANT, Maven, Gradle, MS-Build

CI/CD Tools: Jenkins, Bamboo, Spinnaker, Team City

Bug Tracking Tools: SonarQube, JIRA, Remedy, Confidential Clear Quest, HP Quality Center, Mingle, Bamboo, Find Bugs, Coverity

Languages: HTML, Ruby, Core Java, XML, Servlets, JDBC, JSP

Scripting: Shell, Perl, JavaScript, and Python

Application/Web Server: Apache, Tomcat, WebSphere, JBoss, Web logic, Nagios

Databases: MySQL, Oracle, PL/SQL

Virtualization: VM ware Workstation, Oracle Virtual box

PROFESSIONAL EXPERIENCE

Azure Cloud Engineer

Confidential, GreenBay, WI

Responsibilities:

• Act as a Subject Matter Expert to the team for cloud and virtualization end-to-end architecture and IaaS, as well as PaaS and SaaS solutions.
• Develop and maintain a library of deployable, tested, and documented automation design scripts, processes, and procedures.
• Provide advanced system administration (Infrastructure as Code), operational support and problem resolution for a large complex cloud computing environment in Azure
• Write and maintain documentation of relevant operating procedures and processes.
• Design, develop, and build the business-oriented cloud infrastructure architecture.
• Explore options and build POC to scale the engine on Azure.
• Analyze and decompose complex software systems and collaborate with cross-functional teams to influence design for testability.
• Implement Infrastructure as Code (IaC) through Terraform pipelines.
• Windows Azure (Website, webrole and worker roles).

Sr. Cloud Lead Azure Engineer

Confidential, Dublin, OH

Responsibilities:

• Worked as Developer on Microsoft Azure and part ofDevOpsTeam for internal projects automation and build configuration management. Involved in configuring virtual machines, storage accounts, and resource groups.
• Extract Transform and Load data from Sources Systems to Azure Data Storage services using a combination of Azure Data Factory, T-SQL, Spark SQL and U-SQL Azure Data Lake Analytics. Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in InAzure Databricks.
• Responsible for implementing containerized based applications on Azure Kubernetes by usingAzure Kubernetes service (AKS),Kubernetes Cluster, which are responsible for cluster management, Virtual Network to deploy agent nodes,Ingress API Gateway,MySQLDatabases andCosmo DBfor stateless storage of external data, and setup reverse proxy Nginx in the cluster.
• Architect and implement ETL and data movement solutions using Azure Data Factory, SSIS create and run SSIS Package ADF V2 Azure-SSIS IR.
• Cloud based report generation,developmentandimplementationusingSCOPEconstructs andpower BI. Expert inU-SQLconstructs for interacting multiple source streams withinAzure Data Lake
• Implemented ETL Processes in AWS Glue to migrate Campaign data from external sources like S3, ORC/Parquet/Text Files into AWS Redshift.
• Data Extraction, aggregations, and consolidation of Adobe data within AWS Glue using PySpark.
• Designed GIT branching strategies, merging per the needs of release frequency by implementing GIT flow workflow on Bit bucket.
• Migrating SQL database toAzure data Lake, Azure data lake Analytics,Azure SQL Database, Data BricksandAzure SQL Data warehouseand Controlling and granting database accessandMigrating On premise databases toAzure Data lake storeusing Azure Data factory.
• Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation-using Jenkins along with Python and Shell scripts to automate routine jobs.
• CreatedJenkinsCI/CD pipelines for continuous build & deployment and integrated Junit and SonarQube plugins in Jenkins for automated testing and for code quality check.
• Wrapper developed inPythonfor instantiating multi-threaded application and running with other applications.
• Development ofPythonAPIs to dump the array structures in the Processor at the failure point for debugging.
• Building and Installing servers through Azure Resource Manager Templates (ARM) or Azure Portal.
• Developed automation system using PowerShell scripts and JSON templates to remediate the Azure services.
• Implemented Disaster Recovery Environments with automatic switching via Azure Traffic Manager profiles in case of production outage. Used C#.NET to develop code for business and repository layer.
• Building/MaintainingDockercontainer clusters managed byKubernetes Linux, Bash, GIT,Docker, on GCP.
• Implemented a production ready, load balanced, highly available, fault tolerant, auto scalingKubernetescloud infrastructure and microservice containerorchestration.
• Worked on developingAPIsusingKubernetesto manage and specify the copies of the containers to run the actual servers in the cloud environment.
• Implemented Spring boot microservices to process the messages into the Kafka cluster setup.
• Used Spring Kafka API calls to process the messages smoothly on Kafka Cluster setup.
• Integrated Docker container orchestration framework using Kubernetes by creating pods, config Maps, deployments.
• Created Docker Images using a Docker File. Worked on Docker container snapshots, removing images and managing Docker Volumes and experienced with Docker container service.
• Optimizing and tuning the Redshift environment, enabling queries to perform up to 100x faster for Tableau and SAS Visual Analytics.
• Setup Docker to automate container deployment through Jenkins and Dealt with Docker Hub, making Docker Images and taking care of various Image essentially for middleware establishments and space setups.
• Used MAVEN as build tools on Java projects for the development of build artifacts on the source code.
• Configuring, Automating and Deploying Chef, Puppet and Ansible for configuration management to existing Infrastructure.
• Performed data migration across multiple UNIX/LINUX (RHEL/OEL/Solaris/HPUX) servers, and Windows servers.
• Implemented Bash, Perl, Python scripting to automate day to day jobs.
• Monitored the servers & applications usingNagios, CactiandSplunk.
• Involved in JIRA as defect tracking system and configure various workflows, customizations and plug-ins for JIRA Bug/Issue tracker, integrated Jenkins with JIRA, GitHub.

Environment: Azure, AWS, ANT, puppet, Windows/Linux, C#, GIT, SVN, TFS, Perl Scripts, Python, Shell Scripts, Unix/ Linux environment. Ansible, Docker, Jenkins, Kubernetes, Bitbucket, SonarQube, Gradle, Maven, Apache Tomcat, Nagios, VMware, ELK Stack, Jacopo, selenium (MAC, UBUNTU, CENTOS, WINDOWS, CEL).

Sr. DevOps Cloud Engineer

Confidential, Mettawa, IL

Responsibilities:

• ImplementedAWSCloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, Cloud Watch, Cloud Trail, Cloud FormationAWSConfig, Autos calling, Cloud Front, IAM, S3, R53.
• Worked on Google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.
• Setup GCP Firewall rules to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
• Plans and coordinates the administration of PostgreSQL databases to ensure accurate, appropriate, and effective use of data, including database definition, structure, documentation, long - range requirements, and operational guidelines.
• Implemented complete CI/CD framework using Jenkins, Chef, Maven & amp, Nexus in Linux environment.
• Designed Serverless architecture for converting existingAWSinfrastructure to server less architecture withAWS (Lambda, Kinesis) deployed via Terraform andAWSCloud Formation.
• Implement and automateDevOpscontinuous integration and deployment pipelines and functions using Chef, Jenkins, Git, and Concourse CI.
• Building/MaintainingDockercontainer clusters managed byKubernetes Linux,Bash,GIT,Docker, onGCP (Google Cloud Platform). UtilizedKubernetesandDockerfor the runtime environment of theCI/CDsystem to build, test deploy.
• Involved in managing Nodes automatically added/removed themselves viaPuppet.
• Experienced in working on DevOps/Agile operations process and tools area (Code review, unit test automation, Build & Release automation, Environment, Service, Incident and Change Management).
• Launching AmazonEC2 Cloud Instances using Amazon Web Services (Linux/ Ubuntu/RHEL) and Configuring launched instances with respect to specific applications.
• Deployed and managed web applications and services into AWS by using Elastic Bean Stalk. Managed servers on the Amazon Web Services (AWS) platform instances using Puppet, Chef Configuration management.
• Installed application on AWS EC2 instances and configured the storage on S3 buckets.
• Used Concourse CI and pipelines to drive all Microservices builds out to the Docker registry and then deployed to Kubernetes.
• Developed Groovy and Shell scripts using for channels to be hosted on Application Servers.
• Defining Release Process & Policy for projects early in SDLC and responsible for code build, release, and configuration.
• Developed Infrastructure as Code (IaC), Configuration as Code (CaC), Pipeline as Code forAWS, Azure security, and using Jenkins, Terraform, Ansible, ARM, and Cloud Formation.
• Involved in release planning and executed the release build request from the project team through JIRA Ticket.
• Installed and Configured Jenkins Plugins to support the project specific tasks.
• Experience migrating infrastructure and application from on premise to Azure functions and from Cloud to Cloud such asAWSto Microsoft Azure and GCP.
• Worked onSparkusingScalaon cluster for computational (analytics), installed it on top ofHadoopperformed advanced analytical application by making use ofSparkwithHiveandSQL/Oracle
• Load data into Amazon Redshift and use AWS Cloud Watch to collect and monitor AWS RDS instances within Confidential.
• Implemented ETL Processes in AWS Glue to migrate Campaign data from external sources like S3, ORC/Parquet/Text Files into AWS Redshift.
• Ability in development and execution ofXML, RUBYandSHELLscripts.
• Wrote deployment Automation scripts for multiple JAVA/J2EE Applications.
• Experience in working with variousCI/CDtools likeHudson/Jenkins, Sonar, Subversion, Team foundation server (TFS), Accrue and Nexus, Artifactory.
• Monitored the servers & applications usingNagios, CactiandSplunk.
• Expertise in Installing and ManagingLDAP, NIS, NFS, DHCPandDNS.
• Experience in automation testing usingSelenium WebDriver/RC/IDE/Grid, Junit/TestNG, ANT, MavenandJenkins/Hudson.
• Implemented Kafka producer and consumer applications on Kafka cluster setup with help of Zookeeper.
• Used Spring Kafka API calls to process the messages smoothly on Kafka Cluster setup.
• Wrote puppet manifests for deploying, configuring, and managing collected for metric collection and monitoring.
• Implementing new Java projects builds framework using Jenkins & amp, maven as build framework.

Environment: AWS, Azure Cloud, Jenkins, Jira, Bitbucket, EC2, RDS, IAM, Ansible, Terraform, Docker, Chef, GitHub, Route53, SNS, Python2, Jinja2, ELB, Splunk, Redis, Nginx, Apache2, Celery, Linux, Jabber, Ripper, Slack, RabbitMQ, New Relic, ETL.

Build/Release Engineer

Confidential

Responsibilities:

• Designed and implemented scalable, secure cloud architecture based on Amazon Web Services
• Involved in designing and deploying multitude of applications utilizing almost all of the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS cloud formation.
• Migrated the current Linux environment to AWS/RHEL Linux environment using AWS Server Migration Service (SMS). Was involved in remediation and patching of Unix/Linux Servers
• Used Terraform to customize our infrastructure on AWS, configured various AWS resources.
• Worked with Chef Enterprise Hosted as well as on-premises - Installed Workstation, Bootstrapped Nodes, Wrote Recipes and Cookbooks and uploaded them to Chef-server.
• Used Amazon EC2 Command Line Interface (CLI) along with Bash/Python to automate repetitive work in release activities with Project / Release Management and Development teams to ensure a smooth and trouble free roll out of releases.
• Integrating Bitbucket/stash for Hip chat by creating rooms to our dev teams for collaborating and configuring that we can add new notifications, remove existing ones, or change the types of notifications that will be sent to each room.
• Designing and implementing Subversion, GIT and Bitbucket/stash metadata including elements, labels, attributes, triggers, and hyperlinks.
• Worked onSparkusingScalaon cluster for computational (analytics), installed it on top ofHadoopperformed advanced analytical application by making use ofSparkwithHiveandSQL/Oracle.
• Implement Docker based orchestration using Kubernetes and Open Shift
• Writing Ansible playbooks to define and upload a base image, which will then get its own AMI ID for usage with the ec2 module or the CloudFormation module.
• Building and configuring a Virtual Data Center in the Amazon Web Services (AWS) cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer
• Designing highly available, cost effective and fault tolerant systems using multiple EC2 instances, Auto Scaling, Elastic Load Balance and AMIs
• Designing and building multi-terabyte, full end-to-end Data Warehouse infrastructure from the ground up on Confidential Redshift for large scale data handling Millions of records every day.
• Worked on Big Data Integration &Analytics based on Hadoop, SOLR, Spark, Kafka, Storm and web Methods.
• Designed continuous delivery tools/ configuration management tools like Puppet.
• Implemented Spring boot microservices to process the messages into the Kafka cluster setup.
• Used Spring Kafka API calls to process the messages smoothly on Kafka Cluster setup.
• , installation and configuration of various Linux servers like Red hat and SuSE Linux.
• Worked within the Cloud integration processes.
• Implementing a Continuous Delivery framework using Jenkins, Chef, Puppet, Maven & Nexus in Linux environment.
• Developed analytical components using Scala, Spark, Apache Mesos and Spark Stream.
• Defining Release Process & Policy for projects early in SDLC.
• Assisted in administering and configuring NoSQL Databases like Cassandra, MongoDB etc.
• Orchestrating different Cloud applications using AWS (VPC, ELB, Route53, S3 etc.)
• Setup and configured continuous delivery within Azure security using a combination of Azure Resource Manager (ARM) templates and Visual Studio Team Services (VSTS).
• Expertise in using Ansible to manage Web Applications, Config Files, Data Base, Commands, Users Mount Points, and Packages. Ansible to assist in building automation purposes.

Environment: SVN, Clear Case, Maven, ANT, Gradle, Jenkins, GIT, Chef, Web Sphere, Jira, JBoss Application Servers, Apache Tomcat, ELK, Agile/Scrum, SDLC, Windows, Docker, Nginx, Nagios, AWS EC-2, Route 53, S3, VPC, EMR, SQS, Auto scaling, ELB, Shell Scripts, Unix/ Linux environment.