I am having experience in DevOps tools like GIT, bit bucket, Jenkins, Apache, Maven, Ansible, Docker, Kubernetes, Terraform, and AWS Cloud. Knowledge in all phases of software development life cycle (SDLC) from Analysis, Design, Development, testing, and installation. Designed and implemented Kubernetes-based infrastructure for enterprise-scale applications, managing over50+ microservices. Improved resilience by implementing Kubernetes health checks, rolling updates, and canary deployments. Deployed Kubernetes logging and monitoring solutions using Prometheus, Grafana. Reduced infrastructure costs by25% by optimizing node pools and implementing right-sizing policies. Developed Python-based scripts for automation, monitoring, and troubleshooting DevOps workflows Built RESTful APIs using Flask to enable seamless communication between microservices. Created reusable Python modules to streamline log analysis and system checks. Collaborated with DevOps teams to containerize Python applications and orchestrate them using Kubernetes. Hands-on experience on Jenkins User Management – Create a User account, Delete user Account, Setup Authorization access to users. Experience in using JFrog Repository Manager for Maven builds. Implemented CI/CD methodologies using tools like Jenkins. Experience in Code Coverage and Code Quality Analysis Tools like SonarQube. Having Experience in creating immutable infrastructure in different environments using Terraform. Automating the build and release pipeline setup using groovy scripting for Jenkins. Infrastructure setup using Terraform Aws Modules (EC2, ECS, API Gateway, EBS Volumes, Launch Configuration, Autoscaling Groups, Route53, Security Groups). Automated application deployments using Ansible, reducing deployment times by50% and enabling seamless integration with CI/CD pipelines. Automating tasks like software installation, user management, and system updates. Created Ansible scripts for provisioning cloud resources across AWS, streamlining environment setup for development, testing, and production. Designed and executed Ansible playbooks for automated patching of Linux servers, ensuring systems remained up-to-date with minimal downtime. Implemented Ansible roles for periodic monitoring tasks and system health checks, significantly improving uptime and reliability. Have good working experience on the Docker images, Docker container, and creating the docker- compose file for different versions. Implemented comprehensive data validation, error handling, and logging mechanisms in ETL pipelines to maintain data integrity, enabling more accurate decision-making. Managed data processing and storage solutions across platforms such as Amazon S3, Redshift, and MySQL, ensuring seamless integration and real-time availability for downstream applications. Experience in working with Amazon Web Services (AWS), Creating EC2 Instances, and configuring all web Services like EC2, S3 bucket, IAM, Load balancing, Autoscaling, cloud watch, Dynamo DB RDS Amazon Aurora.