At Airbnb, I modernize Marketing and People Analytics data platforms that power campaign optimization, audience segmentation, workforce reporting, and leadership decisions. I build governed, ML-ready datasets and scalable pipelines using AWS, Databricks, Spark, Snowflake, Python, SQL, and dbt.
I architected batch and near-real-time ingestion for 35B+ Kafka events and 1,000+ tables per day, establishing Bronze, Silver, and Gold data layers for campaign, customer, behavioral, and HR data. I also lead technical delivery through design and code reviews, mentoring, and close partnership with Product, Analytics, Marketing, and Data Science.
Previously at Stripe, I built AWS-native batch and streaming pipelines for high-volume payment, refund, fee, and settlement data across a platform supporting 135+ currencies. I created reconciliation controls, dimensional reporting models, and reliable production workflows with automated CI/CD, observability, replay, and idempotent processing.
I started building healthcare data and analytics pipelines at Valley Health Plan, where I worked with claims, eligibility, enrollment, provider, and pharmacy data under HIPAA-aligned practices. Across industries, I focus on reliable, secure, cost-conscious data products with strong quality, governance, and privacy controls.
