Ezequiel Scott is a Data & AI Engineer with nine years of experience blending academic rigor and hands-on engineering to modernize data stacks and deliver actionable insights. He holds a PhD in Computer Science and has applied research-grade methods to industry problems—from building a 100k+ issue dataset for software engineering research to upgrading production pipelines with Snowflake, dbt, Python, Airflow and AWS. Ezequiel has taught software engineering and data analytics at university level and in industry bootcamps, pairing clear communication with technical depth when translating complex problems into simple, maintainable solutions. Based in Utrecht, he has worked across Europe and the US market, with a track record of migrating batch analytics, developing BI solutions, and shipping bespoke data applications for small businesses and large enterprises alike. What sets him apart is a scientist’s attention to reproducibility combined with practical experience operationalizing data products end-to-end.
9 years of coding experience
8 years of employment as a software developer
PhD in Computer Science Computer Science, PhD in Computer Science Computer Science at Universidad Nacional del Centro de la Provincia de Buenos Aires
Contributions:49 pushes, 1 branch in 4 years 9 months
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.