Aijaz Syed

MSc graduate in Automation & Robotics (TU Dortmund, Cognitive Science) with 3+ years of hands-on experience building end-to-end data and ML solutions on the Databricks Lakehouse Platform and Azure. At Stadtwerke Krefeld AG, I designed and operated production-grade ELT pipelines, medallion-architecture data models with dbt, and a time-series forecasting system — all running on Databricks and backed by Azure Data Lake Storage Gen2. My Master's thesis delivered a hybrid ML–MILP optimization framework that cut solver time by 57% at 98% optimality, demonstrating what happens when data engineering meets decision science.Core stack: Databricks (Unity Catalog · Delta Lake · MLflow · Feature Store · Asset Bundles) · Azure (ADLS Gen2 · Data Factory · Synapse) · Apache Spark · Python · SQL · dbt · Apache Airflow · Terraform · GitHub ActionsCertified: Databricks Data Engineering Associate · Databricks ML Associate · Azure Databricks Platform Architect · Microsoft Fabric Data Engineer (DP-700) · Snowflake Data Warehousing · dbt FundamentalsMy background in mechatronics and intelligent systems gives me an edge in industrial AI, manufacturing analytics, and digital-twin use cases — I think in control loops as naturally as in DAGs.Open to Analytics Engineer, Data Engineer, and MLOps Engineer roles across Germany. Available immediately.📬 Let's connect — always happy to talk lakehouse architecture, ML in production, or the intersection of robotics and data.