Über Marc
- Migrate & Modernize: Transitioning on-premise data warehouses to Google Cloud/AWS to reduce costs and increase agility.
- Implement GenAI: Building secure RAG (Retrieval-Augmented Generation) pipelines to unlock value from internal knowledge bases using LangChain and Vector DBs.
- Scale MLOps: Operationalizing machine learning models from PoC to production with Kubernetes and Airflow.
Deutsch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Projekt- und Berufserfahrung
- Deckers BrandsSenior Data & AI ConsultantAugust 2025 - Heute (10 Monate)• • Designed and optimized high-volume B2C data workflows, ensuring high performance and reliability for the onboarding of customer and vendor datasets• • Contributed to the development of a distributed data framework, enforcing coding best practices and facilitating the seamless integration of AI and analytics initiatives across the enterprise• • Used Technologies: AWS Redshift, dbt, AWS Glue, SQL, Distributed Data Mesh Architecture, Python, Airflow, Gitlab
- Astromind IncSenior Data EngineerDIGITALAGENTUREN & IT-CONSULTINGApril 2025 - Juli 2025 (3 Monate)
- Designing a GenAI / ML system for document analysis and retrieval
- Setting up a RAG-Architecture and workflow for cost optimization in GenAI usage
- Bundesanzeiger Verlag GmbHSenior Data EngineerMärz 2024 - März 2025 (1 Jahr)• • Integration of Land Registry Data for the transparency register according to the legislation• • Design and optimize the data model for public stakeholder inquiries• • Providing Land Registry Data to legal institutions by
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Ausbildung und Abschlüsse
- Diplom BWL / WirtschaftsinformatikHS Pforzheim2003