I own the ingestion, transformation, and reporting layer of PayPal’s FinOps data platform, building real-time cost-visibility APIs and analytics over $250M+ in annual spend for 100+ engineering teams.
I design analytical data models and reporting structures, tuning queries so interactive dashboards stay performant, and I build validation and monitoring to catch anomalies and reconciliation gaps before downstream reporting.
I also use Python for pipeline automation and data transformation, and I designed and shipped an LLM-based recommendation engine that analyzes enterprise usage patterns to generate optimization recommendations, delivering about $9M in annual savings.
On the infrastructure side, I’ve standardized provisioning and deployment with Terraform and Jenkins, and earlier I built event-driven Java microservices and reactive processing systems that improved deployment speed, latency, and throughput.
