Daniel Sz is a results-driven Data Engineer with 8 years of experience blending financial domain expertise and hands-on data engineering across global banks and consulting firms. He has led migrations and regulatory reporting projects, pioneering Python/PySpark ETL frameworks and moving legacy T-SQL pipelines into Databricks and AWS environments to boost performance and maintainability. Comfortable collaborating with stakeholders, Daniel pairs strong business analysis and testing experience from Big Four and banking contexts with practical skills in Airflow, SQL, GCP, and automation. He has a Master’s in Accounting and Finance and a track record of turning complex reporting requirements into auditable, automated data workflows. An under-the-radar strength is his focus on refactoring in-house frameworks—improving developer ergonomics as well as runtime efficiency.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree Economics, Bachelor's degree Economics at Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
Master's degree Accounting and Finance, Master's degree Accounting and Finance at SGH Warsaw School of Economics
Monitoring and assessment system for flats offers that are put up for sale in Warsaw - Docker Compose [Python, Docker, MongoDB, Kafka, NiFi, Telegram, FastAPI, Scrapy]
Contributions:139 commits, 65 pushes, 6 branches in 8 months
Contributions:13 pushes, 1 branch in 1 year 6 months
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