SRI HARI SHARANYA BHAMIDIPATI

Led DevOps initiatives for Amazon EKS and CI/CD pipelines, optimizing infrastructure, reducing deployment times, and achieving significant cost savings.

• Managed and maintained Amazon EKS clusters, configuring RBAC/IAM roles, and optimizing DNS for ingress routing, ensuring automated and compliant node updates via Nebula.
• Engineered an automated deployment pipeline for the Rating & Billing Manager utilizing Python and CI/CD tools, successfully reducing deployment time from hours to 5-10 minutes.
• Designed and implemented robust CI/CD pipelines with GitLab, Ansible, Python, and YAML, migrating over 100 Java/Python batch jobs from uDeploy to open-source tooling, resulting in annual savings exceeding $1M.
• Automated the fault-tolerant transfer of over 10,000 files across environments using Python/Shell scripts, reducing processing time by 70% and improving system uptime by 40%.
• Developed shell and Python-based health check scripts with integrated email alerting, significantly improving incident response times and accelerating detection and recovery of infrastructure issues.

Provided 24x7 production support and developed automation solutions for a retail platform, enhancing system stability and operational efficiency.

• Provided 24x7 production support for a high-volume retail platform, enhancing system stability and ensuring high customer satisfaction.
• Automated audit report generation using Unix Shell scripting and CRON, significantly reducing manual workload and ensuring timely mainframe data delivery.
• Collaborated with cross-functional clients to deliver timely functional insights, improving support quality and building strong stakeholder trust.
• Resolved recurring production issues through in-depth root cause analysis, significantly reducing incident frequency and improving system reliability.
• Participated in SLA optimization initiatives, contributing to enhanced service performance and a reduction in escalations.

Built an AI-powered DevOps tool integrating OpenAI GPT, MCP server, and Kubernetes clusters to convert natural language prompts into live `kubectl` commands. Supported real-time execution via CLI with user confirmation and Minikube integration.

Designed and implemented a mini CI/CD workflow using Terraform to provision Kubernetes resources (namespace, deployment, service) on Minikube, with a Python script performing health checks and HTTP validation for the deployed Nginx service.