Andreas Scheel
About Andreas Scheel
Andreas Scheel is a Senior Sales Engineer at Mapr Technologies with extensive experience in data management and solution architecture. He has worked in various roles across Germany, Canada, and the United States, focusing on innovative solutions for complex data challenges.
Current Role at Mapr Technologies
Andreas Scheel serves as a Solutions Engineer at Mapr Technologies, a position he has held since 2017. In this role, he focuses on providing innovative solutions that address complex data challenges. His responsibilities include leveraging his expertise in data management to assist clients in optimizing their data environments.
Previous Experience in Data Management
Prior to his current role, Andreas Scheel worked at several organizations in various capacities. He was a Senior Data Warehouse Solution Architect at Goodgame Studios from 2013 to 2016, where he contributed to data warehousing projects. He also served as a Senior Solution Architect at Sand Technology for nearly a year and as a Specialist Dwh Etl Development at Ald Automotive for nine months.
Educational Background
Andreas Scheel has pursued various educational opportunities to enhance his skills. He studied Business at Alice Academy in 2009 and attended Informatica Academy Frankfurt in 2012. Additionally, he completed studies in Business and Software Engineering at the International Software Quality Institute in 2012 and Management at Tüv Süd Academy in 2007.
Early Career as Business Analyst
Andreas began his career as a Business Analyst in Operations Management at Hansenet, where he worked from 2006 to 2010. This role provided him with foundational experience in analyzing business operations and managing data processes, setting the stage for his future roles in data management and engineering.
Passion for Data Solutions
Andreas Scheel has a strong interest in managing large data sets and developing innovative solutions for complex problems. He is particularly driven by the challenge of clarifying chaotic data environments through the use of autonomous information systems and artificial intelligence, focusing on integrating incompatible data sources to extract valuable insights.