Summary
Matheus Cunha is a Senior Data Engineer with 11 years of experience designing and delivering scalable cloud-native analytics platforms, currently based in Opmeer, Netherlands. He combines strong engineering fundamentals from a Computer Science degree with hands-on expertise in Python, Rust, Airflow, dbt, Spark/PySpark and Azure to build end-to-end ETL/ELT pipelines and data products. Matheus has a track record of productionizing orchestration at scale—deploying Airflow on Kubernetes with Helm—and contributed to Apache Airflow’s Azure provider by developing Power BI operators and triggers that automated workspace and dataset management, reducing manual effort by over 40%. His background spans database administration and BI (Oracle/SQL Server, Power BI, SSIS/SSRS), giving him an uncommon blend of operational DBA instincts and modern data engineering practices. He’s comfortable translating legacy BI models into dbt-led data meshes and shipping containerized APIs and stream processing with Kafka/RabbitMQ. Pragmatic and open-source-minded, Matheus focuses on developer-friendly automation that accelerates analytics delivery.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Federal de Goiás
English, Portuguese