Designs and operates batch, streaming, and real-time data platforms and pipelines using Spark, Kafka, Iceberg, Airflow, and cloud infrastructure. Owns data lake evolution, data quality, observability, reliability, governance, event instrumentation, schema management, and privacy controls for PII, retention, deletion, and residency. Leads complex initiatives end-to-end, troubleshoots production issues, mentors engineers, and develops AI agent harnesses that enforce data engineering standards and quality gates.

Lead and scale Webflow's analytics engineering function by designing enterprise data architecture, building semantic layers and governance, mentoring a team, and delivering reliable data models, testing, and self-serve analytics to enable data-driven decisions across the company.