Summary
Zachary Ye is a data engineer with nine years of experience bridging academic research and production data systems, now building at Meta in San Francisco. He combines hands-on bioengineering research background with deep data engineering and data science practice from roles at GRAIL, Natera, and early bioinformatics labs. Known for designing pipelines that translate complex biological and experimental data into reliable, production-ready datasets, he’s comfortable across Python, C++, and data infrastructure. He has a track record of speeding analysis workflows by orders of magnitude and turning lab processes into normalized databases and automated pipelines. Versatile and collaborative, he frequently partners with cross-functional stakeholders to turn ambiguous problems into measurable solutions. His unusual blend of experience in microfluidic tissue engineering, surgical-robot simulation, and production data engineering gives him a unique lens on noisy, high-stakes datasets.
9 years of coding experience
4 years of employment as a software developer
University of California, San Diego