• Currently working on Watermelon Product - Chaos Engineering• Orchestrated the design, deployment, and management of AWS cloudinfrastructure, leveraging services such as EC2, S3, VPCs, and Route 53 to ensurescalable and reliable solutions• Setup End to End observability with ELK on Elastic Kubernetes Services• Deploy resilient cost-optimized infrastructure on AWS cloud with Terraform• Setup ISTIO service mesh on eks for traffic management and Chaos Engineering• Established comprehensive monitoring solutions using AWS CloudWatch andintegrated logging mechanisms, providing real-time insights into the systemperformance and application behavior

• Working on end-to-end microservices-based architecture and deploying to AWS ECS.• Knowledge and working experience in Scrum events - sprint planning, daily scrum, sprint review, and sprint retrospective • Deployment of AWS Serverless services Lambda• Creating Infrastructure for Amazon RDS Aurora with Multi-AZ configuration (MySQL/PostgreSQL) using Cloudformation IaaC.• Deployment of REST API in AWS API Gateway• Managing Multinode Kubernetes Cluster and deployment• Monitoring and visualization with Prometheus and Grafana• Jfrog artifactory, Jira, Confluence, Airflow

• Implemented trunk-based CI/CD pipeline using GitLab CI/CD in multi-environment deployment (Dev, Qa, Stg, Prod)• Good hands-on experience in Infrastructure as a Code - AWS CloudFormation and Terraform• Working experience in EC2, Security Groups, ELB, Route53, ECS, ECR, S3, RDS, Aurora, Secrets Manager, Parameter Stores, CloudWatch, CloudTrail, IAM (Users/Roles/Policy), API Gateway, Auto Scaling Group, CloudFront, ACM• Build, deploy, manage, and maintain applications and systems deployed to AWS• Experience with code scanning and quality checking tools – SonarQube, Code Quality• Hands-on experience in logging tools ELK and EFK stacks• Good hands-on knowledge of Source Code Management (Version Control System) tools like git and GitHub• Automation of continuous integration, delivery, and deployment – Jenkins (Master/Slave), Ansible, Bash and Git• Working knowledge of Docker, Dockerfile, and Multi-Stage Docker builds.

Multiple freelance projects depending on tasks including setup aws infrastructure, deploying CICD pipeline and cloud administration for clients

End to End Project deployment on Azure Cloud with Python, Spring Framework Big Data, Cloud Computing & E-commerce services