Matthew Barlowe is a data engineer and sports analytics specialist with nine years of experience building production data pipelines and analytical systems for professional sports organizations and finance. Currently serving as Hockey Operations Data Engineer for the Buffalo Sabres, he combines Python- and R-driven analysis with SQL database design to turn tracking and play-by-play data into actionable insights. His background includes converting legacy systems to Python, implementing TDD and serverless ETL on Azure, and presenting analytics work at Wharton and RIT—highlighting both technical rigor and communication skills. Matthew began as an English major and runs a former analytics site, which reflects his knack for storytelling with data and publishing technical tutorials. He’s particularly focused on sports data pipelines and occasionally experiments with model building, bringing a practical engineer’s mindset to advanced analytics problems.
9 years of coding experience
4 years of employment as a software developer
B. A., English, B. A., English at Appalachian State University
Nanodegree, Data Analyst, Nanodegree, Data Analyst at Udacity
Scripts for scraping and compiling a database of nba stats using my nba_scraper module
Contributions:63 commits, 56 pushes, 1 branch in 2 years 4 months
pythonnba-statsnbascrapingdatabase
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Matthew Barlowe - Hockey Operations, Data Engineer