Hao (Paul) Lee is an experienced data professional with a robust background in analytics and engineering. Notable roles include Senior Data Analyst at General Motors, where contributions involved designing a DevOps data engineering pipeline and developing predictive models for customer lifetime value and safety events. As a Business Intelligence Engineer at Amazon, Hao designed event-driven ETL pipelines to enhance logistics reporting. Currently, as a Data Engineer at Meta, responsibilities include building large-scale ETL pipelines to support advertising products. Educational qualifications comprise a Bachelor of Science from the University of Pennsylvania, an MBA in Finance from Cornell University, and a Master of Science from Georgia Institute of Technology. Additional experience spans internships and engineering roles across various industries, contributing to a diverse skill set in data analysis and engineering.
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