Mikael Koli is a Data Engineer with eight years of experience combining finance, technology and analytics to deliver reliable, production-grade data solutions. He has progressed from middle-office PnL and valuation roles at OP Financial Group into engineering positions at Zalando and ŌURA, applying domain knowledge to data pipeline design and operational tooling. An active open-source maintainer, Mikael is the creator and primary contributor to Rocketry, a modern Python scheduling library focused on robust task loading and test coverage. His background in strategic finance and business analytics gives him a practical edge in translating regulatory and trading requirements into auditable data systems. Based in Espoo, Finland, he brings hands-on Python proficiency and a track record of extracting insight from large, messy datasets—skills first honed during analytic projects at Fortum and the Finnish Transport Agency. Colleagues rely on him for pragmatic automation that reduces manual risk while improving observability across data workflows.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Business Administration (BBA) International Business Administration, Bachelor of Business Administration (BBA) International Business Administration at University of Twente
Matriculation examination General knowledge, Matriculation examination General knowledge at Kuninkaantien lukio
Master's degree Strategic Finance and Business Analytics, Master's degree Strategic Finance and Business Analytics at LUT University
Contributions:10 releases, 15 reviews, 1705 commits in 3 years 6 months
Contributions summary:Mikael primarily contributed to the modernization and improvement of the rocketry scheduling library. The commits show a focus on refining the task loading mechanisms within the Python project, including updates to YAML loaders and their corresponding functionalities, such as handling dictionaries of tasks, with a core focus on reliability and structure. Furthermore, code changes included enhancements related to core modules and general task scheduling. The user also demonstrates testing skills by adding tests to support the updated features.
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