Ryan Eakman
Sr. Staff Software Engineer at Fivetran
Los Angeles Metropolitan Area United States
Summary
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Rockstar🎓
Top SchoolRyan Eakman is a Sr. Staff Software Engineer with nearly a decade of focused experience building data platforms, ETL pipelines, and CI/CD automation across gaming, media, and startup environments. As a founding engineer at Tobiko Data he co-created and drove adoption of SQLMesh—an open-source data transformation tool—helping convert early integrations into enterprise-ready cloud offerings that supported Series A traction. His background includes senior data engineering roles at Netflix and technical leadership at Riot Games, where he productionalized reinforcement-learning-based products and modernized streaming data stacks. Technically fluent in Python and SQL ecosystems, he’s contributed improvements to widely used projects like sqlglot, enhancing SQL parsing and cross-dialect transpilation. Ryan is skilled at translating ambiguous product needs into reliable, observable pipelines and shipping automation that reduces operational toil. Based in Los Angeles, he blends startup agility with large-scale production experience to deliver data solutions that drive measurable business impact.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Information Systems with Business Concentration, Bachelor of Science (B.S.) Information Systems with Business Concentration at University of Dayton
Stackoverflow
1reputation
0reached
0answers
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Github Skills (6)
sql-parser10
sql10
python10
snowflake10
transpiler10
bigquery9
Programming languages (3)
Github contributions (5)
tobymao/sqlglot
May 2022 - Jan 2023
Python SQL Parser and Transpiler
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 153 reviews, 137 commits in 8 months
Contributions summary:Ryan focused on improving the SQL parsing and transpilation capabilities of the `sqlglot` library. Their contributions included fixing and improving support for SQL set operations, particularly for the Snowflake database. They enhanced BigQuery support by adding support for the `VALUES` statement within the `UNNEST` function. Additionally, the user addressed and fixed several bugs related to table alias names and column references.
pythontranslationtsqlparserredshift
eakmanrq/sqlframe
May 2024 - Apr 2025
Turning PySpark Into a Universal DataFrame API
Contributions:144 reviews, 369 PRs, 356 pushes in 10 months
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