Summary
Wojciech Pratkowiecki is a seasoned Data Engineer with 10 years of experience building and operating large-scale Big Data platforms across on-premise and cloud environments. At Datumo he architects and optimizes Scala/Spark ETL and reporting pipelines, manages Hadoop and Azure Databricks ecosystems, and applies Medallion Architecture to Delta Lake warehouses. He has led teams and client relationships for investment and banking projects, introduced coding and architectural best practices, and driven migrations between GCP, Azure, and on-prem clusters. Earlier roles at Opera and PeakData sharpened his Airflow, BigQuery, and backend service skills, giving him a practical full-stack data engineering perspective. Comfortable with both low-level cluster operations and higher-level orchestration, he often focuses on performance tuning and reproducible, maintainable pipelines. Based in Wrocław, he combines strong academic foundations in informatics with a knack for making complex data platforms reliable and easy for teams to adopt.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Informatics, Master's degree, Informatics at University of Wroclaw
Engineer's degree, Informatics, Engineer's degree, Informatics at Uniwersytet Wrocławski