R P.

I transitioned into DevOps after working as an Operations Analyst at KPMG, where I developed strong analytical and process-oriented thinking. I decided to move into cloud and automation because I enjoy building systems, improving reliability, and reducing manual work. Over the past year, I have built hands-on DevOps projects including: • End-to-end CI/CD pipelines using Jenkins • Containerization with Docker and Kubernetes (KinD clusters) • Infrastructure provisioning using Terraform • Configuration management with Ansible • Monitoring setups with Prometheus and Grafana • AWS infrastructure with Auto Scaling, Load Balancer, VPC, and Route 53 One of my key projects involved designing a 3-stage (dev/test/prod) deployment pipeline for a Flask application using Jenkins, Docker, Kubernetes, and monitoring tools. The focus was automation, scalability, and observability. I am comfortable with AWS, Linux, Git workflows, and debugging deployment issues. Currently strengthening Python scripting for automation tasks. I am looking for an entry-level DevOps or Cloud Engineering role where I can contribute to CI/CD pipelines, infrastructure automation, and system reliability while gaining production experience.