Kenny Ning is a Growth Engineer at Modal with nine years of experience applying data-driven approaches to product and cloud tooling. He combines a Swarthmore background in computer science and statistics with hands-on roles as a data scientist at Spotify and a data engineer at Better.com to bridge experimentation, analytics, and engineering. Since 2021 he has run a freelance analytics engineering practice serving clients from SeatGeek to Clearcover and working on dbt-centered workflows, bringing both startup agility and enterprise rigor. Based in New York, he focuses on making Python-first cloud infrastructure and analytics immediately actionable for product teams.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.) Computer Science and Statistics, Bachelor of Arts (B.A.) Computer Science and Statistics at Swarthmore College
Contributions:1 PR, 4 pushes, 2 branches in 1 year 8 months
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