Erlangen, Bavaria, Germany
I am a Data & AI Engineer specializing in bridging the gap between raw corporate data and executive business intelligence. Combining an MSc in Data Science with hands-on experience in the Siemens ecosystem to automate pipelines, deploy practical AI, and deliver actionable analytics. — Core Impact & Experience: Agentic AI & Automation: Architected custom Agentic AI solutions (LangGraph/Neo4j) for complex legal contract data extraction and compliance tracking workflows. Data Engineering: Built batch and streaming pipelines within a Medallion architecture, successfully archiving legacy SAP/ERP datasets into Snowflake with strict data governance. Business Intelligence: Developed automated Power BI and QlikSense dashboards tracking global export control and compliance KPIs reducing reporting delays by 40% and data errors by 15%. API & Cloud Integration: Automated regulatory API data ingestion using Python and Snowflake, eliminating manual workloads by 60%. — Technical Toolkit: AI & Automation: Agentic AI, LLMs, LangGraph, Neo4j, Python, Machine Learning Applications Data & Cloud Infrastructure: SQL, Snowflake, Azure Data Services, Medallion Architecture, Data Governance & Quality BI & Analytics: Power BI, QlikSense, Data Storytelling, KPI Dashboarding — Logistics & Language: Based in Erlangen, Germany (Open to relocation & hybrid models) Languages: English (Fluent), German (B1-B2 actively progressing)