Summary
Michał Zawadzki is a Data Platform Team Lead with nine years of experience building scalable, production-grade data platforms and DataOps practices. He leads hands-on work across ingestion, orchestration, and infrastructure, optimizing workflows with tools like Prefect, dbt, dlt, Kubernetes, Databricks and Kafka to let analysts focus on insights rather than plumbing. Currently driving platform architecture at dyvenia and The Scalable Way, he combines practical automation (GitHub Actions) with cloud-native orchestration to deliver reliable, repeatable pipelines. His background spans data engineering, analytics and early QA/reimbursement roles, giving him a pragmatic appreciation for business needs and operational reliability. Based in Kraków, he pairs a computer science foundation with additional study in data analytics, philosophy and English philology—an eclectic mix that informs clear, user-centric abstractions.
9 years of coding experience
4 years of employment as a software developer
Philosophy, Philosophy at University of Wroclaw
Nanodegree Data Analyst, Nanodegree Data Analyst at Udacity
English philology, English philology at Uniwersytet Kazimierza Wielkiego
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Wrocławska Wyższa Szkoła Informatyki Stosowanej
Polish, English