Summary
Paulius Šukys is a Senior Data Engineer with 11 years of experience at the intersection of backend, data and platform engineering, currently advancing data platforms at Zenitech. He designed and led a production-grade DWH test automation framework that validates complex transformations across Snowflake, Synapse, BigQuery, Databricks and Redshift, and built declarative automation and CI/CD pipelines to make deployments repeatable and fast. Paulius also authors a developer-focused Python SDK and refactored legacy tools onto Pandas to improve performance and maintainability, demonstrating a pragmatic blend of API design and data tooling. A mentor and technical leader, he repeatedly turns architectural challenges into shareable frameworks that raise team consistency and productivity. Based in Lithuania with an MSc in Informatics from TUM, he brings a research-minded approach evident from earlier Bayesian modelling and automation work.
11 years of coding experience
10 years of employment as a software developer
Bachelor, Informatics Engineering, Bachelor, Informatics Engineering at Kaunas University of Technology
Bilingual International Baccalaureate diploma, Bilingual International Baccalaureate diploma, Bilingual International Baccalaureate diploma, Bilingual International Baccalaureate diploma at Šiauliai Didždvaris gymnasium
Master of Science (MSc), Informatics, Master of Science (MSc), Informatics at Technical University of Munich
English, German, Lithuanian