Hendrik Dreesmann

Data Engineer @Scalable Capital

Munich, DE

Driving development of mission-critical banking infrastructure - Contributing to building regulatory components for a core Banking System from scratch, including implementation of a comprehensive regulatory data lake.Key Achievements:• Independently led and delivered end-to-end MiFIR Article 26 reporting system, managing cross-functional stakeholders across Finance, Trading, and Market Making teams. System successfully processes hundreds of thousands of trade reports while ensuring full BaFin compliance.• Pioneered first-of-its-kind dbt testing framework as pytest plugin, enabling automated unit testing for data models. Framework significantly improved team\'s development velocity and is being considered for open-source release.• Designed and implemented efficient GDPR compliance system achieving sub-5-minute daily processing time with €2/month operating costs on a TB-size Data Lake• Developed innovative data transformation suite automating dbt model generation from DynamoDB JSON structures, reducing development time from hours to minutes.Technical Impact- Owned and delivered critical regulatory systems from ground up- Automated complex data engineering workflows- Established new testing standards for the team- Reduced infrastructure costs while maintaining complianceTechnical Expertise:• Modern Data Stack: Data Build Tool (dbt), Airflow, Python, AWS (Lambda, ECS, EC2, S3, Athena, RDS, DMS, Step Functions), Iceberg, Parquet• Infrastructure & DevOps: Terraform, Docker, CI/CD, Change Data Capture (CDC)• Domain Expertise: GDPR, Financial reporting (BaFin), Banking regulations, Finance

Carl von Ossietzky Universität Oldenburg

Bachelor of Science - BS

Carl von Ossietzky Universität Oldenburg

Master of Science