Andrii Polishchuk is a data engineer with 11 years of technical experience and a formal background in physics from Taras Shevchenko National University, currently building production data pipelines at blackthorn.ai. He specializes in ETL, data modeling, warehousing, and database management, focusing on transforming large, messy datasets into reliable analytics-ready stores. Andrii pairs rigorous analytical thinking from his physics training with pragmatic engineering—delivering scalable solutions and robust fallback handling for failure-prone inputs. He is also an active open-source contributor on projects like the popular web-scrobbler, where he improved YouTube scrobbling reliability by refactoring duration parsing and adding API fallback logic. Based in Fastiv, Ukraine, he’s driven by solving tricky data quality and integration problems and continuously expanding his tooling and architecture expertise.
11 years of coding experience
Bachelor's degree, Physics, Bachelor's degree, Physics at Taras Shevchenko National University of Kyiv
Contributions:5 commits, 1 PR, 8 comments in 29 days
Contributions summary:Andrii primarily contributed to the YouTube connector within the web-scrobbler project, focusing on parsing and scrobbling music information from YouTube. Their work included adding fallback mechanisms when the YouTube API failed, refactoring duration parsing, and fixing XHR processing. The contributions involved modifying JavaScript code to extract track, artist, and duration data from the YouTube player and API responses for accurate scrobbling.
Contributions:44 commits, 18 pushes, 1 branch in 4 months
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