Summary
Michał Mońko is a data engineer with eight years of experience building data processing and EL(T) pipelines, now applying his expertise at EcoVadis. Previously at Nokia he developed Airflow DAGs and data processing components leveraging Spark, Pandas, Polars, Hive/Trino and running on Kubernetes with S3/HDFS storage. He combines a solid electronics and Big Data Analytics engineering background from Politechnika Wrocławska with hands‑on production experience in distributed data platforms. Comfortable across the stack from orchestration to SQL-on-file systems, he focuses on reliable, scalable transformations and storage abstractions. Colleagues know him for pragmatic pipeline design and for bringing efficient, hybrid tool choices (e.g., Polars alongside Spark) to performance-sensitive workloads. Based in Lower Silesia, Poland, he blends research‑level analytics training with enterprise-grade system delivery.
9 years of coding experience
6 years of employment as a software developer
Magister inżynier (Mgr inż.), Big Data Analytics, Magister inżynier (Mgr inż.), Big Data Analytics at Politechnika Wrocławska