Summary
Lingyi Zhang is a Senior Data Engineer II based in Washington, DC with eight years of experience building scalable data platforms and geospatial tooling at McKinsey’s QuantumBlack. She has progressed through multiple engineering tiers since joining as a fellow in 2018, contributing to open-source projects like McKinsey’s vizro and earlier public-data work such as the LA LocalGeo CrossWalk. Her background blends applied urban science and economics with hands-on cloud, Python, GIS and serverless API development, enabling her to translate complex spatial and business data into production systems. Known for bridging research-grade analytics and production engineering, she brings a practical appetite for reproducible, scalable data solutions informed by urban informatics.
8 years of coding experience
7 years of employment as a software developer
Master's degree Technology Economics and Management, Master's degree Technology Economics and Management at University of Chinese Academy of Sciences
Master’s Degree Applied Urban Science and Informatics, Master’s Degree Applied Urban Science and Informatics at New York University
Bachelor's degree Economics, Bachelor's degree Economics at Minzu University of China