Nirmal Kumar Bandari
DevOps Engineer | Championing Continuous Integration/Deployment in Cloud Environments | AWS & Kubernetes Expert | Expertise in Kubernetes, Docker, and Cloud Platforms
- Role
- Senior Analyst at HCLTech
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Nirmal Kumar Bandari
I have 6 plus years of experience and 3 plus years of IT experience in software…
Experience
Senior Analyst
Sep 2019 — Present · Hyderabad, IN
Technology: Bitbucket, Maven, Jenkins, Kubernetes, Terraform, GrafanaBug Tracking Tool: JiraRoles and Responsibilities:· Designed and implemented highly available and scalable infrastructure on Oracle Cloud Infrastructure for hosting Open Search clusters, ensuring optimal performance and reliability.· Developed Infrastructure as Code using tools like Terraform to define and provision OCI resources, promoting consistency and repeatability in infrastructure provisioning.· Conducted load testing and performance tuning on Open Search clusters, identifying and resolving performance bottlenecks to ensure optimal response times and resource utilization.· Designing, coding, and collaborating on new feature implementations to elevate Open Search\'s capabilities in alignment with customer requirements.· We will do monthly Data Plane/Management Plane patching.· Coordinate/assist developers with establishing and applying appropriate branching, and merging conventions using GIT source control.· Configured and maintained Jenkins to implement the CI process.· Added a few stages to the Jenkins file to build the application for deployments.· Handled Environment Maintenance.·Coordinate/assist developers with establishing and applying appropriate branching, and merging conventions using GIT source control.· Configured and maintained Jenkins to implement the CI process.· Experience in setting up a Docker environment with the help of writing a Docker file.·Having Good knowledge of deploying applications into Kubernetes with the Helm package.· Written API testing for PythonRest API with the help of the PyTest automation framework.· In This project we enabled two interfaces, one was related to the backend which takes care of predicting the data and providing the Anomaly information to the frontend.· Project uses Machine learning, python,open-metrics, elastic search, and Grafanato process and predict its data.
Education
SR EDU CENTRE
Intermediate, MPC
2011 — 2013
Gokaraju Rangaraju Institute of Engineering and Technology
Bachelor of Technology - BTech, Computer Science
2013 — 2017
Tejaswi High School
School, Ssc
2002 — 2011
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