At Meta, I built a 0-to-1 data engineering team and analytics platform supporting AI infrastructure decisions. The platform brings together scalable pipelines, curated datasets, operational metrics, and self-service analysis.
I also created analytical datasets that combine infrastructure telemetry, workload information, resource allocation signals, and operational events for capacity planning and utilization analysis. I implemented data quality and lineage practices to improve reliability and transparency.
Previously, I led a distributed data engineering team supporting Meta Ads analytics and business metrics for product optimization and experimentation. I developed trusted datasets, KPI frameworks, and experimentation data used in product analysis and decision-making.
At Facebook / Meta, I built analytical systems for Messenger and Instagram Business Messaging, while at Assurant I developed data systems for insurance, warranty, claims, and e-commerce. My experience also includes supporting consulting teams at Kearney with data analysis and visualization.
