Summary
Dinesh Marimuthu is a data engineer based in Munich who designs, builds and operates cloud-native analytics pipelines using Azure, Kubernetes, Airflow, dbt and modern tooling to deliver reliable data products. With two years of focused data engineering experience and prior roles across consultancy, research and HR operations, he blends technical delivery with strong cross-functional collaboration and product release discipline. He has implemented ETL and MLOps workflows for production models (including automated training for a hate speech detector) and helped build analytics platforms for capital optimization at scale. His background in Earth and Climate Systems Science informs a data-first, systems-thinking approach to problem solving. Comfortable in multicultural teams, he pairs hands-on pipeline engineering with practical process design and a history of digitizing operations in legacy environments.
2 years of coding experience
2 years of employment as a software developer
Master's degree, Earth and Climate Systems Science, Master's degree, Earth and Climate Systems Science at University of Hohenheim
Bachelor of Science (BSc), Physics, Bachelor of Science (BSc), Physics at Madras Christian College
English, Tamil, Hindi, Kannada, Italian, German