Greg Lamp is a founder and seasoned technology leader with 13 years of experience building data-driven products and engineering organizations from seed to acquisition. Based in Boulder, he co-founded Yhat (YC W15), scaled its product and team through acquisition by Alteryx, and later held senior engineering and architecture leadership at Civitas Learning before launching AirPlx. He blends hands-on backend and database engineering—evidenced by substantial open-source contributions to tools like db.py and pandasql that simplify SQL and DataFrame workflows—with product sensibility from early product management roles. Greg has a track record of shipping pragmatic tooling for data scientists and engineers (including visualization and terminal plotting work) while leading hiring, architecture and platform decisions at scale. He holds dual degrees in Systems Engineering and Financial Mathematics from the University of Virginia and brings an operator-founder mindset that pairs technical depth with business outcomes. A not-obvious strength: he routinely moves between low-level database integrations and user-facing analytics features, enabling both developer productivity and reliable production model deployments.
13 years of coding experience
16 years of employment as a software developer
W15, W15 at Y Combinator
B.S. Systems Engineering, B.S. Systems Engineering at University of Virginia
db.py is an easier way to interact with your databases
Role in this project:
Back-end Developer & Database Engineer
Contributions:153 commits, 19 PRs, 26 pushes in 2 years 5 months
Contributions summary:Greg primarily contributed to the back-end functionality of the `db.py` project, focusing on enhancing database interaction capabilities. Their work involved implementing new APIs for interacting with pandas, expanding database support with SQLite and MySQL integration, and adding Redshift compatibility. Furthermore, the user appears to have been involved with database schema management and improving the overall database query functionality.
Contributions:70 commits, 6 PRs, 11 pushes in 4 years
Contributions summary:Greg contributed significantly to the `pandasql` project, which allows SQL querying of pandas DataFrames. Their work primarily involved implementing core functionalities for SQL-like operations within the library. They added support for list and tuple inputs, subquery functionality, and fixed bugs related to data type handling. The user also added sample data, expanded example usage, and enhanced documentation, thereby improving the user experience and usability of the library.
pythonpandasdata-science
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.