Jingyi Pan is a software engineer with 11 years of experience building large-scale backend systems, currently working at Google after multi-year roles at Uber where she focused on Rider Pricing and Maps data pipelines. She has deep expertise in data engineering, Spark and scalable online services, having built production ETL, metrics and ETA dashboards that supported mission-critical operations. Jingyi blends a strong academic foundation from Cornell and South China University of Technology with hands-on cloud and big-data experience from AWS and startups, and she enjoys cross-disciplinary learning that informs pragmatic system design. Based in San Francisco, she brings a perspective that values both robust infrastructure and the varied viewpoints that drive better engineering decisions.
11 years of coding experience
6 years of employment as a software developer
Guangdong Experimental High School
Master of Engineering (M.Eng.) ENG - Electrical & Computer Engineering, Master of Engineering (M.Eng.) ENG - Electrical & Computer Engineering at Cornell University
Bachelor of Engineering (B.E.) Electrical Engineering, Bachelor of Engineering (B.E.) Electrical Engineering at South China University of Technology
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