Claire Pang
Senior Data Engineer
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolClaire Pang is a Senior Data Engineer based in the San Francisco Bay Area with eight years of experience building scalable ETL pipelines, data models, and production data platforms. At the Chan Zuckerberg Initiative she designed a centralized Delta Lake-based warehouse and reduced query complexity by consolidating ~50 raw tables into about 10 pipelined tables used by data scientists. She led migrations from legacy Airflow to dbt on Snowflake/Databricks, cutting daily pipeline runtime by roughly 50% and simplifying incident diagnostics. Previously at Gap Inc. she owned digital, customer, and supply-chain data domains, optimized Spark-based ETL to reduce runtime by up to 80%, and mentored junior engineers. Claire combines strong technical execution in PySpark, dbt, and cloud data platforms with a focus on data quality, documentation, and making data approachable for non-technical stakeholders. Her background in data science, plus selection for Google’s Applied Machine Learning Intensive, gives her a practitioner’s sense for when ML adds value versus when robust data engineering is the right solution.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Data Science, Bachelor of Science - BS, Data Science at University of San FranciscoProgramming languages (2)
Github contributions (5)
cpang4/travelmap
Apr 2018 - May 2018
Contributions:30 commits, 22 pushes, 2 branches in 1 month
cpang4/cs360-finalproject
Apr 2018 - Sep 2018
Contributions:120 pushes, 1 branch in 5 months
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