Summary
Daniel Beicht is a Data Engineer with a decade of hands-on experience building and operating data platforms, currently driving data initiatives at DB Systel after leading data lake and ETL projects at DB Cargo. He specializes in large-scale data processing with tools like NiFi, PySpark/AWS Glue and Dremio, and has implemented both batch pipelines and warehouse solutions based on MSSQL/SSIS. While finishing a Master’s in Computer Science at LMU Munich with research interests in Knowledge Discovery and Big Data Analytics, he has also applied AR and semantic modeling in a Siemens research internship and gained international exposure during a US internship. Comfortable across infrastructure, backend services and frontend tooling, he brings a practical blend of engineering depth and production-focused architecture to complex data challenges.
10 years of coding experience
3 years of employment as a software developer
Ludwig Maximilian University of Munich
Bachelor of Science - BS, Computer Science B.Sc., 1.6, Bachelor of Science - BS, Computer Science B.Sc., 1.6 at Fachhochschule Darmstadt
Computer Science M.Sc., Computer Science M.Sc. at Johann Wolfgang Goethe-Universität Frankfurt am Main
German, English