Tom Reitz is a data engineering leader with extensive experience delivering data-driven solutions across education analytics and technology services. He serves as a Staff Data Engineer I at Education Analytics while also guiding Reitz Tech as Principal, a dual track that blends hands-on engineering with strategic leadership from Madison, Wisconsin. He leverages dbt, Airflow, Snowflake, and Python to design and maintain scalable data platforms that enable high-impact decision making. Tom holds a Master’s in Computer Science from UW–Madison with an emphasis on data science, along with a BS in Computer Science and Mathematics from the same institution. He is known for a strategic, methodical approach, strong integrity, and a knack for building productive teams built on trust, all while solving complex problems and enjoying the details. A notable detail is his long-running leadership at Reitz Tech since 2009, signaling an entrepreneurial foundation alongside his corporate roles.
9 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at University of Wisconsin-Madison
Contributions:32 commits, 58 pushes, 1 branch in 11 months
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