Vinh Hang is a data engineer with 8 years of experience who specializes in modernizing data infrastructure and optimizing ETL workflows. He led a successful migration from AWS to Google Cloud at Centerfield, improving batch processing with BigQuery and designing a cost-effective data lake using Lambda and Athena that reduced Tableau overhead. With an MS in Statistics from Penn State and a background in economics and data science, he blends rigorous quantitative thinking with practical engineering to solve business problems. His career path—from teaching and client-facing roles to enterprise data engineering—gives him a rare combination of clear communication, customer empathy, and technical execution. Now at Meta, he continues to focus on scalable, cost-conscious data platforms that accelerate analytics and reporting.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Statistics, Master of Science - MS Statistics at Penn State University
Data Science Career Track Data Science, Data Science Career Track Data Science at Springboard
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