Michał Ordak is a Python-first Data Engineer based in Warsaw with around a decade of hands-on experience building data pipelines, migrating SAS workloads to Python/Spark, and automating ETL orchestration with Airflow on AWS. He combines strong DevOps sensibilities with practical engineering—writing unit and system tests, deploying Spark on EMR, and driving cloud-native data processing at organizations like Novozymes, Nielsen, and the European Patent Office. Comfortable moving between code and infrastructure, he has repeatedly modernized legacy analytics (SAS→Python) and implemented robust testing and CI practices to make data products reliable. His background in power engineering and earlier systems/design roles gives him a systems-thinking approach to complex data challenges and large-scale classification or BOM-style problems.
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