Summary
Judy Zhu is a data engineer with 8 years of experience building scalable ETL pipelines and data products across tech and manufacturing domains, currently based in the San Francisco Bay Area. She has implemented Python/SQL pipelines at Meta to process calling metrics for Messenger and Instagram, and built high-throughput Spark/Kafka workflows in Scala for terabyte-scale manufacturing data at Bosch. Judy pairs hands-on engineering with strong cross-functional collaboration—partnering with PMs, data scientists, privacy and legal teams to translate requirements into compliant, production-ready data solutions. She is experienced with orchestration (Airflow), visualization (Tableau), and privacy enforcement for sensitive datasets. Her background includes end-to-end delivery from a data engineering fellowship to production roles, and a Master’s in Computer Engineering from the University of Toronto. Colleagues describe her as product-minded and privacy-conscious, able to ship pragmatic systems that balance scale, observability, and regulatory constraints.
8 years of coding experience
8 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at University of Toronto
English, Chinese