Marvin Schemmelmann is an IT Analyst with six years of hands-on experience bridging consulting and engineering at zeb, currently pursuing a Master's in Business Informatics with a focus on AI at FH Münster. He blends practical client-facing IT customizing work with strong backend engineering skills—self-taught expertise in AWS, Kubernetes and Python—gained through real-world projects and open-source contributions. Notably, he has contributed performance and correctness improvements to the Apache DataFusion SQL query engine, including NDJSON handling and parquet statistics enhancements. Based in Drensteinfurt, Germany, Marvin combines analytical rigor from his Wirtschaftsinformatik studies with a pragmatist’s approach to scalable data processing and cloud-native tooling.
6 years of coding experience
Master, Wirtschaftsinformatik, Master, Wirtschaftsinformatik at FH Münster
Bachelor, Wirtschaftsinformatik, Bachelor, Wirtschaftsinformatik at Hochschule Weserbergland
Contributions:40 reviews, 16 PRs, 91 comments in 6 months
Contributions summary:Marvin contributed to the Apache DataFusion SQL Query Engine by implementing bug fixes, adding tests, and refactoring existing code. Their work focused on improving the functionality and performance of the query engine, particularly in areas like NDJSON file reading and handling of non-null sub-fields within struct fields. They also added enhancements related to memory size estimation for the HashTable and implementing data page statistics for parquet files. These contributions indicate a focus on improving the core functionality and performance of the data processing engine.
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