how i work
Most people own one layer. I connect all three, so the data, the AI, and the insight actually fit together.
first
I build the data layer in Microsoft Fabric. Lakehouses, warehouses, Delta Lake, and a Medallion architecture, with PySpark pipelines moving more than 120 million records a day. Clean, reconciled, monitored data that everything else can stand on.
then
On that foundation I add GenAI and agentic systems. Multi-agent orchestration with LangGraph, RAG over enterprise knowledge, MCP tool layers, and Azure OpenAI reasoning. Agents that retrieve trusted context, follow business rules, and stay grounded.
finally
The point is the decision, not the pipeline. I turn data and agents into KPI intelligence, analytical summaries, and automated insights that teams trust and act on. Insight from data engineering and from agentic AI, end to end.