Ethan Cartwright is a multidisciplinary technologist and storyteller who blends data engineering chops with hands-on creative production, currently supporting enterprise creativity at Runway in New York. With experience building ML data pipelines and graph models at Capital One and contributing back-end improvements to the popular DataHub metadata platform, he navigates complex data systems while keeping user impact front and center. He’s also an entrepreneur and creator—founding a soccer coaching business with strong repeat customer retention, co-founding a product startup, and writing/directing festival-selected short films using industry tools and Runway AI. Comfortable moving between Scala, Python, Spark, and video tools like DaVinci Resolve and Premiere, Ethan finds his edge where technical problem-solving meets narrative design.
2 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree (double major), Computer Science, Creative Writing, Bachelor’s Degree (double major), Computer Science, Creative Writing at University of Michigan
Contributions:18 reviews, 18 PRs, 20 comments in 1 year
Contributions summary:Ethan primarily contributed to the back-end of the project, focusing on data processing and system enhancements. Their work included refactoring and improving the functionality of sibling association hooks within the metadata-jobs module and adding supporting logic. The user also addressed critical issues related to dbt upstreams and non-dbt upstreams. Additionally, the user worked on features related to documentation links and view labels, demonstrating a strong understanding of the data ingestion pipeline.
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