Abe Gong
Operating Advisor
Salt Lake City, Utah, United States
Summary
🤩
Rockstar🎓
Top SchoolAbe Gong is an operating advisor and seasoned technical founder with 14 years of experience building data-driven products and high-performing teams. He co-founded Great Expectations, scaling it into the world’s most popular open-source data quality tool with millions of monthly downloads and a thriving 13,000-member community, and has deep hands-on experience in analytics, data engineering, ML/AI and developer tooling. Abe combines rapid prototyping and market discovery with product-led growth and community building, routinely moving ideas from conviction to production. His open-source contributions to projects like Dagster and Great Expectations signal practical expertise in data ingestion, validation, and pipeline tooling. Based in Salt Lake City, he advises startups and VCs (including Bessemer) on go-to-market, data strategy, and developer relations while pursuing selective advisory and sabbatical projects. He’s equally at home writing SQL and Python for pipelines as he is recruiting executives and shaping company strategy—an operator who still ships code.
14 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Public policy political science and complex systems, Doctor of Philosophy (PhD) Public policy political science and complex systems at University of MichiganBS Communications, BS Communications at Brigham Young University
Japanese
Github Skills (15)
etl10
json10
pandas10
dagster10
data-validation10
data-pipeline10
data-pipelines10
sql10
python10
data-integration10
documentation10
data-engineering10
analytics9
orchestration9
orchestra9
Programming languages (8)
Github contributions (5)
great-expectations/great_expectations
Jun 2017 - Jan 2023
Always know what to expect from your data.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:1 release, 156 reviews, 1534 commits in 5 years 8 months
Contributions summary:Abe contributed to the development and improvement of the Great Expectations project, specifically focusing on enhancements to the data validation process and documentation. The commits include changes to the `DescriptivePageRenderer` to display table/data asset name, including changes to the navbar to reflect this functionality. The user implemented code to store and display expectation details and validation metrics to the documentation, improving readability and usability. The code was written in Python, with a focus on data pipelines.
pythondatadata-integritydatacleanerpipeline-testing
dagster-io/dagster
May 2018 - Sep 2018
An orchestration platform for the development, production, and observation of data assets.
Role in this project:Data Engineer
Data EngineerContributions:32 commits, 1 PR, 1 branch in 3 months
Contributions summary:Abe primarily contributed to the development of data ingestion and transformation capabilities within the Dagster framework. They added support for reading data from various formats, including tables and JSON files, with the associated dependencies. The user also implemented SQL-based data manipulation, including truncate and insert operations. Moreover, the user integrated new functionalities like reading data from delimited files like read_table, demonstrating expertise in building data pipelines and data processing.
operationpythonobservationschedulermetadata
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