Summary
Darius Murawski is a data science engineer based in Hamburg with 11 years of experience turning prototypes into reliable, production-grade ML and ETL pipelines. He combines hands-on data engineering (Spark, Airflow, AWS) with applied ML (scikit-learn, word2vec, image classification) and a strong background in web development (Ruby on Rails), enabling smooth end-to-end deployments. At emetriq he scaled a Falcon-based serving stack to 4k req/s, migrated 30+ jobs into Airflow and automated CI/CD with Docker and pytest, demonstrating an operational mindset for high-stakes migrations. He writes and speaks about data and software engineering, mentors newcomers through volunteering, and teaches intermediate Python—reflecting a commitment to knowledge sharing beyond product delivery. Known for pragmatic problem-solving, he often focuses on data quality and deduplication improvements that yield measurable efficiency gains.
11 years of coding experience
3 years of employment as a software developer
Bachelor, Angewandte Informatik, Bachelor, Angewandte Informatik at Hamburg University of Applied Sciences
German, Polish, English, French