Jonathan Wentz

Jonathan Wentz

Lead Software Engineer/Tech Lead @ Thomson Reuters

About Jonathan Wentz

Jonathan Wentz is a Lead Software Engineer and Tech Lead at Thomson Reuters, where he has worked since 2008. He specializes in cloud technologies, analytics, and AI integration, and holds a Master of Science in Software Engineering from the University of Minnesota.

Work at Thomson Reuters

Jonathan Wentz has been employed at Thomson Reuters since 2008, where he serves as a Lead Software Engineer and Tech Lead. In this role, he focuses on developing customer-facing applications utilizing various cloud technologies, primarily AWS. His responsibilities include integrating AI technologies, such as SageMaker, into web applications. Wentz also emphasizes analytics and search technologies, leveraging a range of programming frameworks and tools including Spring Boot, React, Angular, NodeJS, Elasticsearch, and GraphQL.

Previous Experience

Before his tenure at Thomson Reuters, Jonathan Wentz worked as a Sales Representative at CompUSA from 2003 to 2007 in Edina, Minnesota. He also held a position as a Teaching Assistant at the University of Minnesota, Duluth from 2006 to 2008. Additionally, he briefly worked as a Sales Representative at Best Buy for five months in 2002-2003 in Richfield, Minnesota. These roles contributed to his customer service and technical skills.

Education and Expertise

Jonathan Wentz holds a Master of Science (MS) in Software Engineering from the University of Minnesota, which he completed from 2009 to 2011. He also earned a Bachelor of Science (BS) in Computer Science and Mathematics from the University of Minnesota Duluth, graduating in 2008. His educational background provides a strong foundation in software development and engineering principles, which he applies in his current role.

Technical Skills

In his professional capacity, Jonathan Wentz specializes in various technologies essential for modern software development. He utilizes cloud technologies, primarily AWS, to enhance application performance and user experience. His expertise includes integrating AI technology into web applications and working with frameworks such as Spring Boot, React, Angular, NodeJS, Elasticsearch, and GraphQL. This diverse skill set enables him to tackle complex software engineering challenges.

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