• Design a complete automation system for the data pipeline, from source to storage, implementing schedulers for automation. • Configured Java applications to produce logs, package them into Docker images, and push them into a Docker private repository • Created clusters using Kubernetes and worked on creating pods, services, and deployments by writing YAML files. • Deployed AWS infrastructure using IAC. AWS services like VPC, EC2, S3, EBS, IAM, ELB, Autoscaling, Cloud Formation, and Cloud Watch using the AWS console and AWS CLI. • Created and Configured AWS CloudFormation templates to create custom-sized VPC, subnets, EC2 instances, ELB, and Security Groups. • Managed AWS S3 buckets and object policies using IAM and S3 bucket policies and created MFA for accidental deletion. • Implemented and maintained the branches and build/release strategies utilizing Git. • Utilized IAM service to create new users, groups, roles, and policies. • Worked with Terraform to create AWS components like EC2, IAM, VPC, ELB, Security groups. • Extensive experience in configuring EC2, S3, Elastic Load Balancer, Autoscaling, • IAM, and Security Groups in public and private subnets in VPC and other services in AWS. • Implemented cluster services using Docker and Kubernetes to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible and deploying application containers. • Monitored automated build and continuous software integration process with CloudWatch, Prometheus and nagios to drive build/release failure resolution. • Prepared development server on EC2 for developers, enabled with Docker, Docker-Compose, Java 11, Git.

• Wrote shell scripts for automating the process of data loading. • Evaluated Ansible framework and tools to automate the Cloud deployment and operations.• Implemented a production ready, load balanced, highly available, fault tolerant CI/CD pipeline with GIT, Jenkins, Ansible, Docker and Kubernetes.• Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments.• Managed deployment automation using Terraform to system operations.• Integrate CI pipeline with configuration management tools for continuous deployment.• Built a new CI pipeline. Testing and deployment automation with Docker, Jenkins• Supporting software development and data management projects that prepare large datasets for• Using Docker in Environment variables, Configuration files, Option types and Strings & integers.• Developed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT, EC2• Developed an internal HR management system using Java.• Worked with Agile practices using CI/CD pipelines, with Jenkins (for continuous integration), Nexus for Maven repository, Maven builds, Artifactory, Junit testing and deployments using multiple Jenkins.plugins.• Created and developed REST based web services returning JSON type of responses.• Used Azure DevOps (formerly VSTS) to automate several applications. Building CI/CD pipelines in• Wrote custom monitoring and integrated monitoring methods into deployment processes to developself-healing solutions.

• Worked on Continuous Integration (CI), Continuous Delivery (CD) pipeline for Cloud Services.• Developed CI/CD pipelines with Jenkins• Designed and deployed a large application utilizing AWS stack (including EC2, VPC, Route53, S3, RDS, DynamoDB, SNS, SQS, IAM) focusing on high availability, fault tolerance, and auto-scaling in AWS Cloud Formation• Dockerized applications by creating Docker images from Dockerfile• Installed Docker and Docker-compose on different servers• Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and deploy• Created a Jenkins pipelines and configured cron job to trigger the pipeline on certain times depending on the pipeline’s branch• Used Ansible as a configuration management and deployment tool• Created and configured elastic load balancers and auto scaling groups to distribute the traffic and to have a costefficient, fault tolerant and highly available environment• Worked with the IAM service to create roles, users and groups and attached policies to provide minimum access to the resources.• Created freestyle projects and fully automated CI/CD build pipelines and processes for multiple projects.• Worked on all major components of Docker like Docker Compose, Volume, Network, Hub, Images, Swarm.• Worked extensively with AWS services like EC2, S3, VPC, ELB, Auto Scaling Groups, Route 53, IAM, CloudFormation, CloudFront, and RDS• Designed and configured VPC-Internet Gateways, NAT Gateways, Public and Private subnets, Security groups, NACLs, Route Tables, VPC peering.• Deployed web applications on AWS S3, served through CloudFront and Route 53 using AWS CloudFormationService and Certificate Manager

• nvolved in Requirements gathering, Analysis, Design, Development and Testing of application using AGILE methodology (SCRUM) • Developed the web interface using Angular-JS, HTML, CSS. Hosted the application on a Node.js server using express middleware. • Used Angular JS for UI to make the application user-friendly in the development of the Navigation Bar, Tables etc. • Implemented a Single Page Web Applications (SPA) and Multi Page Web Application based front end for displaying user requests like fetching, inserting, updating, deleting user records history using JavaScript and Angular JS. • Implementing and exposing the Micro services based on RESTful API using Spring Boot. • Used Spring Boot which is radically faster in building cloud Microservices and develop spring-based application with very less configuration. • Involved in implement the security with OAUTH2. • Implemented SOA to develop REST Based Web services using Spring Rest API. • Created web services using Spring @Rest Controller to return JSON to the frontend • Implemented Swagger by using spring annotations, which will make the developers easy to understand the flow. • Remotely debugged remote debugging the application to resolve environment specific issues. • Configured Swagger-UI registered Micro service with Eureka server to monitor service health check from Spring Boot admin console. • Used JavaMessageService (JMS) for reliable and asynchronous exchange of important information for status report along with Apache Kafka as Queue Server. • Involved in creating Mongo DB, collections and documents and developed Mongoose Schema objects to perform CRUD operation. • Involved in Code Review, Unit Testing and Integration Testing, Selenium Web Driver • Develop Python scripts to convert source files into custom flat file layouts. • Created Jenkins jobs and pipelines and integrated python scripts to communicate to AWS resources.