Designed and implemented scalable data pipelines using Azure Data Factory, Databricks, Delta Lake, Python, and SQL.
Architected Lakehouse solutions supporting enterprise analytics, AI/ML, and Generative AI workloads.
Developed structured and unstructured data pipelines for RAG, vector search, and AI-powered applications.
Built reusable frameworks, improving code quality, scalability, and development productivity.
Optimized ETL/ELT processes, reducing data latency and improving performance.
Implemented CI/CD, automated testing, monitoring, and DataOps best practices.
Established data quality, governance, security, and metadata management standards.
Collaborated with cross-functional teams to deliver business-driven data and AI solutions.
Mentored engineers and led technical design and architecture discussions.
Drove cloud modernization initiatives, improving reliability, scalability, and operational efficiency.
