Summary
Wendy Zhang is a data analyst and engineer with 12 years of cross-industry experience and 3+ years focused on building scalable data pipelines, modular data models, and BI-driven insights across e-commerce, supply chain, retail, and education. Currently driving data governance and engineering efforts at Stanford, she has a track record of optimizing ETL workflows, orchestrating batch processes, and implementing cloud infrastructure to enable finance, HR, and supply chain analytics. Her background spans hands-on analytics engineering at Wayfair and data engineering roles that bridge business analysis and technical delivery, giving her a rare mix of domain fluency and engineering discipline. Wendy pairs a strong academic foundation—a Business Analytics master’s from UC San Diego and degrees from Beijing institutions—with practical experience translating complex operational needs into governed, reusable data assets.
12 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Software and Media Applications, 3.4/4, Bachelor's degree, Computer Software and Media Applications, 3.4/4 at Beijing Technology and Business University
Master's degree, Clothing Design and Engeneering, 3.5/4, Master's degree, Clothing Design and Engeneering, 3.5/4 at Beijing Institute of Clothing Technology
Master's degree, Business Analytics, 3.8/4, Master's degree, Business Analytics, 3.8/4 at University of California, San Diego - Rady School of Management