Jim Rodrick

Data Quality Engineer @ ACTO

About Jim Rodrick

Jim Rodrick is a Data Quality Engineer currently working at ACTO, where he has contributed to data warehouse initiatives and quality assurance for business intelligence dashboards. He has a diverse background in quality engineering, freelance editing, and IT support, along with multiple degrees in mathematics, physics, and theology.

Work at ACTO

Jim Rodrick currently holds the position of Data Quality Engineer at ACTO, where he has been employed since 2023. His role is remote and based in Toronto, Ontario, Canada. Prior to this position, he worked at ACTO as a Full Stack Engineer from 2021 to 2022. During his tenure, he contributed to various quality initiatives and feature releases, including a significant project involving the development of a data warehouse.

Previous Experience

Before joining ACTO, Jim Rodrick worked in several roles across different organizations. He served as a Freelance Editor at Cactus Communications for five months in 2014 while based in India. He was also a Process Quality Analyst at McKie Splints from 2014 to 2019 in Duluth, Minnesota. Earlier in his career, he worked as a Windows Desktop and Network Support Specialist at the Minnesota Department of Revenue from 1994 to 1999. Additionally, he was an Assistant to the Auxiliary Bishops at the Archdiocese of Saint Paul and Minneapolis from 2001 to 2008.

Education and Expertise

Jim Rodrick has a diverse educational background. He studied at the University of St. Thomas, where he earned a Bachelor of Arts in Catholic Studies and Theology from 1994 to 2001. He also attended the University of Minnesota, where he obtained a Bachelor of Science in Mathematics and Physics from 2009 to 2014. His academic training supports his expertise in data quality engineering and related fields.

Technical Skills and Contributions

In his current role, Jim Rodrick utilizes AWS Glue to integrate MySQL data into Hyper files for Tableau visualization. He led a quality initiative to build the first phase of a data warehouse using AWS Blueprints and Buddy CI/CD, which included integration with GitHub and Python ETLs in AWS Glue. He also served as the primary test engineer for a feature release that involved 23 business intelligence dashboards and 87 SQL queries, where he identified multiple bugs and proposed code changes.

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