Radek Tomsej is a data and AI engineer with 11 years’ experience building cloud data warehouses, ETL pipelines, and analytic platforms, currently shaping AI, BI and CI efforts at Oddin.gg from Prague. He has led data engineering at Alma Career Czechia, designing Snowflake-based DWHs and orchestrating pipelines with Airflow, dbt, Kafka and Debezium, while also delivering BI via QlikSense and Metabase. A hands-on contributor to open-source dbt tooling—improving dbt-duckdb to support Python models and enhancing pre-commit quality checks—he focuses on automating data quality and developer workflows. His background spans Hadoop-era big data operations to modern cloud architectures, pairing technical depth with product-minded delivery. Unusually for a senior engineer, he also brings early design and web development experience, which helps him bridge data, UX and deployment concerns.
11 years of coding experience
4 years of employment as a software developer
Master of Computer Applications (MCA), Computer science, Economics, Master of Computer Applications (MCA), Computer science, Economics at University of Economics in Prague, Faculty of Informatics and Statistics
Master's degree, Business Administration and Management, General, Master's degree, Business Administration and Management, General at University of Economics in Prague, Faculty of Management
graduation, Business/Commerce, General, graduation, Business/Commerce, General at Business Collage Veselí nad Moravou
:fishing_pole_and_fish: List of `pre-commit` hooks to ensure the quality of your `dbt` projects.
Role in this project:
Data Engineer
Contributions:6 releases, 6 reviews, 17 commits in 1 year 1 month
Contributions summary:Radek primarily contributed to the development and maintenance of a pre-commit hook library for dbt projects. Their work involved creating and modifying utility functions, specifically addressing issues related to argument parsing, flag handling, and table name replacements within SQL scripts. They implemented and refined functions to support dbt compilation, testing, and running, and they also added functionalities for validating model structures. This indicates a focus on automating and improving the quality assurance process for dbt-based data projects.
dbt (http://getdbt.com) adapter for DuckDB (http://duckdb.org)
Role in this project:
Backend Developer
Contributions:1 release, 20 reviews, 11 commits in 14 days
Contributions summary:Radek primarily contributed to the dbt-duckdb adapter by adding new features and improving existing ones. They implemented support for Python models, allowing users to leverage Python for data transformations within DuckDB. They also added materializations, including external tables and glue catalog, enhancing the adapter's capabilities for data ingestion and integration with external data sources and AWS Glue. Furthermore, they addressed code quality issues such as import ordering and fixed related bugs.
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Radek Tomsej - AI, BI And Some CI at Alma Career Czechia