Summary
Chris Z is a Senior Data Engineer with 11 years of experience building scalable ETL pipelines, data models, and business intelligence solutions across AWS, enterprise ERP, and cloud-native environments. He currently drives metrics, experimentation pipelines, and dashboards for Meta products while previously architecting data platforms and reporting for AWS AI and Device services and major finance clients like Chase. Skilled in SQL, Python, PySpark, SSIS, Informatica and a variety of scripting languages, he blends hands-on engineering with client-facing collaboration to translate product roadmaps into measurable outcomes. A fast learner and multi-tasking team player, he has a proven track record of consolidating disparate data sources into customer 360 and marketing insights. Notably, his background spans machine learning tooling (R, Spark), web stacks and ERP system engineering, giving him uncommon breadth from low-level system integration to analytics and experimentation.
11 years of coding experience
6 years of employment as a software developer
Thomas Jefferson High School for Science and Technology
Bachelor of Science (B.S.), Intensive Physics and Computer Science Double Major, Bachelor of Science (B.S.), Intensive Physics and Computer Science Double Major at Yale University