Saulius Grigaliūnas is a Senior Data Engineer with 12 years of experience building data platforms, infrastructure, and analytics systems across cloud environments. Currently at Automattic and formerly driving data and infrastructure strategy at Trafi, he combines hands-on engineering (BigQuery, Spark, AWS/GCP, Terraform) with data privacy and SRE-minded organisational change. He’s implemented multi-tenant warehouses, scalable ETL/DBT pipelines, and company-wide Terraform and multi-account setups while mentoring engineering teams. Comfortable across languages from Scala and Python to Ruby and shell, he enjoys building internal tooling and pushing pragmatic open-source fixes—most notably improving crystallographic data handling in the CDK project. Based in Vilnius, he blends deep infrastructure know-how with a practical focus on observability, security, and reproducible analytics.
12 years of coding experience
14 years of employment as a software developer
Vilnius Žirmūnai gymnasium
Bachelor, Computer Science, Bachelor, Computer Science at Vilniaus universitetas / Vilnius University
Contributions:35 commits, 2 PRs, 16 comments in 3 months
Contributions summary:Saulius primarily contributed to the improvement of the CIF (Crystallographic Information File) reader within the CDK library. Their work included implementing tests for reading cell constants and angles, as well as fixing bugs in the atom loop processing. The user also made improvements to EPS output, attempting to improve its functionality. These changes focused on enhancing the library's ability to handle crystallographic data and improve its output capabilities.
Contributions:1 PR, 74 pushes, 2 branches in 2 years
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