At Henkel AG & Co. KG, I architect analytics solutions on Azure Databricks and scaled the data engineering team from 2 to 6 engineers. I cut monthly cloud infrastructure costs by 71% by optimizing Spark pipelines and implementing automated OCR extraction with Apache Tika.
I architected a unified Data Mesh platform integrating market research, retail, and marketing data, laying the foundation for enterprise GenAI use cases and LLM-powered product sentiment analytics. I also introduced spec-driven development toolkits to standardize AI-assisted engineering workflows.
At ERGO Group AG, I engineered high-scale Spark pipelines and architected an MLOps framework on AWS SageMaker. I partnered with Data Science teams on automotive dynamic pricing solutions that generated seven-digit cost savings and revenue growth.
Earlier, I migrated services and data systems at ING-DiBa AG, AXA Konzern AG, and HQ plus GmbH. I hold an M.Sc. in Computer Science from Technische Universität Berlin and have certifications in data streaming and deep learning.
