Experience as a Python Developer and coding with analytical programming using Python, Django and Flask.Working on Amazon Web Services, Python and the Django framework, and Very good experience with cloud platforms like Amazon AWS and Google App Engine.Hands on experience in Gitlab/Jenikns and complete Continuous Integration (CI) process. Have thorough knowledge on agile/devops process.Proficient in deploying and maintaining highly available and scalable RDS instances with PostgreSQL, ensuring data integrity and seamless backups for critical applicationsExperience working with Docker, Kubernetes, Docker Swarm and Micro Services.Worked on end to end setup of the Artifactory pro as a Docker container with a secure private Docker registry and local Docker repositories for storing the built Docker images.Implemented a CI/CD pipeline involving GitLab, Jenkins, Chef, Docker, and Selenium for complete automation from commit to deployment. Installed and Configured.Proficient in utilizing FastAPI's asynchronous capabilities to handle concurrent requests efficiently, ensuring optimal performance under heavy workloads.Extensively worked with Scheduling, deploying, managing container replicas onto a node using Kubernetes and experienced in creating Kubernetes clusters work with Helm charts running on the same cluster resources.Proficient knowledge with Helm charts to manage and release of helm packages.Strong experience in managing the Kubernetes environment for scalability, availability and zero downtime.Dockerization of Distributed load testing environment using AWS Container Servicev(AWS K), KubernetesImplemented Kubernetes, AWS,docker, Jenkins based deployment pipeline.Expertise in developing Restful micro services using python aiohttp and fastapi frameworks.Utilize REST and AWS (Amazon Web services) in Redshift, EMR for improved efficiency of Storage and Proficient in SQL databases MySQL, Oracle and NoSQL databases MongoDB, Cassandra and Oracle. Expertise in SQL stored queries.In Machine learning background and skills in data science, applied research and heavy-duty coding Working on with Python programming and Python libraries for data science included in the Anaconda distribution including NumPy, pandas. Python packages like, SciPy, tables etc.Experience in developing Dockerfile to containerized applications to deploy on managed kubernetes service EKS and AKS