David Schmidt is a seasoned Data Engineer at inovex GmbH since December 2016, specializing in the design and development of data platforms and ETL/ELT processes. Expertise includes building Data Mesh and Data Lakes utilizing a variety of tools and technologies such as Google Cloud Platform, Kubernetes, Apache Airflow, BigQuery, Apache Spark, and more. David Schmidt conducted a Bachelor thesis focused on evaluating Data Science Workflow Engines for Kubernetes and has prior experience as a working student at CAS Software AG and Harman/Becker Automotive Systems. David Schmidt holds a Bachelor of Science degree in Informatics from Karlsruhe University of Applied Sciences, earned between 2014 and 2018.
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