At University of South Florida, I developed 20+ parameterized ETL/ELT pipelines and optimized PySpark and SQL workloads, cutting recurring execution time 40%. I also engineered a Fabric Lakehouse research platform integrating academic, engagement, and AI-usage data.
I developed AI-assisted analytics workflows with LangChain, LangGraph, GPT, and Claude, including RAG pipelines using ChromaDB and FAISS. These workflows improved analytical productivity 35%.
At Bees Software Solutions, I built Power BI dashboards and SQL/Python ETL pipelines across 40+ enterprise client accounts. I improved reporting accuracy 35% and reduced report execution time 40%; in my personal project OmniFlow, I designed a data platform with 24 dependency-aware ETL/ELT workflows.

