Ken Kaufmann
About Ken Kaufmann
Ken Kaufmann is a Data Engineer at Swish Analytics in San Francisco, CA, where he has worked since 2016. He holds a B.S. in Biology, an M.S. in Biomedical Engineering and Biotechnology, and an MBA, and specializes in managing data processes for major sports leagues.
Work at Swish
Ken Kaufmann has been employed at Swish Analytics as a Data Engineer since 2016. In this role, he specializes in managing data ingestion and aggregation pipelines for major sports leagues, including the NBA, NFL, NHL, and MLB. His responsibilities include optimizing data storage and queries using mySQL, as well as managing ETL processes with tools such as Airflow and PM2.
Education and Expertise
Ken Kaufmann holds a Bachelor of Science degree in Biology from Union College, which he completed from 2004 to 2008. He furthered his education with a Master of Science in Biomedical Engineering and Biotechnology from the University of Massachusetts Lowell, studying from 2011 to 2013. Additionally, he earned an MBA and a Master of Science in Business Analytics from Bentley University's McCallum Graduate School of Business, completing his studies from 2015 to 2017.
Technical Skills
Ken Kaufmann possesses a range of technical skills relevant to data engineering. He utilizes Python's Pandas library extensively for data manipulation and analysis. He is proficient in developing dynamic web scrapers using BeautifulSoup and Selenium. Furthermore, he works with REST APIs and facilitates data feeds using ActiveMQ and the Stomp protocol.
Background
Ken Kaufmann's educational background includes a strong foundation in both biological sciences and engineering. He studied at Lawrence Academy before pursuing higher education. His diverse academic experience has equipped him with a unique perspective in the field of data engineering, particularly in the context of sports analytics.