Marcus E.

I build reliable data automation platforms and production pipelines that connect business systems, clean and move data at scale, and eliminate manual processes. Specializing in Python, Airflow (Docker Compose + isolated CLI containers), Docker, DuckDB, Go, and FastAPI, I deliver practical, maintainable solutions for real-world data challenges. Recent highlights include: Rebuilt a music royalty calculation engine now handling 98 million records — dramatically reducing processing time by strategically combining Python/Pandas for initial ETL with DuckDB for large-scale aggregation, consolidation, and reporting. Running production Airflow orchestration for a security alarm company and music publisher: vendor API integrations, artist portal → backend syncing, agreement/configuration generation, UPC registration workflows, and corrective data pipelines. Built secure microservices and web applications (FastAPI + Vue.js) that bridge legacy FileMaker systems with modern infrastructure — including user record sync services, GCP Storage signed-URL APIs for internal file management, a standalone Registration Portal, and a full Agreement Signature Portal with e-signature capture, admin dashboard, and automated user provisioning via Airflow. Developing Go-based data migration tooling (leveraging AI assistance) to transition acquired company data into ConnectWise Manage. I help teams move beyond spreadsheets and legacy systems with clean, scalable automation — whether you need a full orchestration layer, complex data migration, API integrations, or custom microservices and portals that actually run in production.