Professional Summary
Seasoned and forward-thinking Cloud Data Architect with 18+ years of extensive experience across full SDLC development, cloud architecture, big data management, and AI-enabled enterprise solutions. Proven track record of leveraging Microsoft Azure and cutting-edge AI technologies such as LLMs, LangChain, and Agentic AI to deliver scalable, secure, and business-aligned solutions. Actively engaged in technical research and innovation, with multiple peer-reviewed publications and an IEEE membership underscoring industry thought leadership.
Key Areas of Expertise
- Cloud Platforms & Data Architecture: Microsoft Azure (ADF, Synapse, Databricks, Blob, SQL, Event Grid), GCP Migration Strategy
- AI & Machine Learning: LLM, LangChain, Agentic AI, LangGraph, OpenAI, Gemini, Hugging Face, RAG, Chroma (Vector DB)
- Programming Languages: C#, .NET Core, Python, SQL, T-SQL, REST APIs, WPF, U-SQL
- ETL & Data Engineering: Azure Data Factory, PySpark, Azure Synapse Analytics, SQL Server, Oracle
- DevOps & Monitoring: Azure DevOps, CI/CD, Azure API Management, TFS, Git, App Monitoring
- Application Development: ASP.NET, MVC, Web API, Desktop App Development with WPF
- Project Leadership: Pre-sales engagement, Architecture Reviews, Client Training, Agile/Scrum Management
Certifications
- AI-900 – Microsoft Azure AI Fundamentals
- AZ-304 – Microsoft Azure Architect Design
- DP-203 – Data Engineering on Microsoft Azure
- DP-900 – Microsoft Azure Data Fundamentals
- Career Essentials in Generative AI – Microsoft & LinkedIn
Professional Memberships
- IEEE Member – Supporting professional innovation and research in cloud and AI technologies