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RajeshPat87/README.md

πŸ’« About Me:


πŸ”­ I’m currently working on Architecting scalable cloud infrastructure and robust CI/CD pipelines using Azure DevOps, Terraform, and Kubernetes, with increasing focus on AI-assisted automation and cost-optimized platform engineering.

πŸ‘― I’m looking to collaborate on Advanced Azure DevOps workflows, infrastructure automation, multi-cloud Kubernetes deployments (AKS & GKE), and AI-agent powered DevOps tooling (Claude, GitHub Copilot, Gemini).

🀝 I’m looking for help with Mastering advanced GitOps patterns, scaling complex Helm chart deployments across multiple environments, and integrating agentic AI workflows (Claude Code, MCP) into platform engineering.

🌱 I’m currently learning The finer details of multi-cluster Kubernetes management, Site Reliability Engineering (SRE) best practices, deepening my DevSecOps integrations, Model Context Protocol (MCP) for tool-connected AI, and FinOps cost optimization strategies.

πŸ’¬ Ask me about Azure DevOps, Kubernetes, Terraform, Helm, CI/CD automation, AI-assisted development (Claude, GitHub Copilot, Gemini), and my journey transitioning from DBA/DWH roles into full-time DevOps.

⚑ Fun fact I bring 14 years of IT experience to the table, meaning I've navigated the complete evolution from traditional data warehousing all the way to modern, cloud-native DevOps and platform engineering!

🌐 Socials:

LinkedIn email


πŸŽ“ Certifications:

AZ-400 AWS Cloud Practitioner FinOps Practitioner Copado Admin Copado Dev Copado Pro SQL Certified


πŸ€– AI / Agentic Tools & Skills:

  • Claude (architecture, design, and documentation assistance)
  • Claude Code (agentic coding assistant and CLI for development workflows)
  • GitHub Copilot (AI pair programmer for day-to-day coding tasks)
  • Google Gemini (for research, prototyping, and code assistance)
  • OpenAI / ChatGPT (for automation scripts, infra templates, and knowledge workflows)
  • Model Context Protocol (MCP) concepts for connecting tools and external systems to AI
  • Agentic patterns: AI-driven refactoring, test generation, runbook creation, and incident analysis
  • Using AI to accelerate Terraform module authoring, Helm chart scaffolding, and CI/CD pipeline definitions

πŸ’° FinOps Practitioner Skills:

  • Applying FinOps principles (Inform, Optimize, Operate) to Azure, AWS, and GCP environments
  • Cost visibility and allocation across teams, projects, and environments
  • Rightsizing, reserved instances, and savings plans with platform guardrails
  • Kubernetes cost insights (node sizing, pod requests/limits, autoscaling impact)
  • Integrating cost signals into CI/CD, infrastructure as code, and platform engineering workflows
  • Partnering with engineering and finance to drive continuous optimization

πŸ’» Tech Stack:

MicrosoftSQLServer PHP PowerShell Python Azure Jenkins Azure AWS Datadog Google Cloud Heroku .Net Apache Kafka jQuery Jinja Nginx Apache Maven AmazonDynamoDB Redis MariaDB Adobe Dreamweaver GitHub TeamCity GitHub Actions Bitbucket Selenium Confluence Jira SonarQube Splunk Power Bi Terraform Docker Kubernetes MySQL Postgres WordPress Snowflake Code-Igniter OpenStack GraphQL

πŸ“Š GitHub Stats:

https://github-readme-stats.vercel.app/api?username=RajeshPat87&theme=dark&hide_border=false&include_all_commits=false&count_private=false
https://nirzak-streak-stats.vercel.app/?user=RajeshPat87&theme=dark&hide_border=false
https://github-readme-stats.vercel.app/api/top-langs/?username=RajeshPat87&theme=dark&hide_border=false&include_all_commits=false&count_private=false&layout=compact


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