At IBM on the Heineken global retail and beverages account, I build and improve Azure Databricks data platforms, DataOps capabilities, and applied AI systems.
I've migrated 112 legacy notebooks to SQL-based Delta Live Tables, cut Microsoft Graph ingestion runtime from 6–8 hours to 3 hours, and eliminated high-priority incidents for three months. I also reduced monitoring effort by about 50% through a unified Databricks observability solution spanning ADF, Azure cost, Log Analytics, and DLT data.
I've delivered measurable operational savings through Python alerting, cluster right-sizing, Z-Ordering, and VACUUM automation. Outside IBM, I design personal LangGraph multi-agent frameworks that explore context, cost, state-machine, and data-security trade-offs.

