Sam Debruyn
Data Tech Lead
Heist-op-den-Berg, Antwerp, Belgium
Summary
🤩
Rockstar🎓
Top SchoolSam Debruyn is a Data Tech Lead and hands-on platform architect with 12 years of experience building cloud-native data platforms across Microsoft Fabric, Databricks, Snowflake and open-source tooling. He blends long-term engagements with ad-hoc consultancy and training, helping organizations design, implement and harden ELT pipelines, dbt integrations and Terraform-driven infrastructure. Sam has contributed to prominent open-source projects like dbt-core, Terraform providers for Azure and Databricks, and .NET libraries—often focusing on robustness, async performance and test coverage. Comfortable from low-level SDK fixes to large-scale architecture, he’s delivered one of Belgium’s early enterprise Fabric projects and helped build dbt adapters for Microsoft platforms. Based in Antwerp, he combines pragmatic engineering with team coaching and technical leadership across units of 70+ engineers. A curious polyglot (Python, Go, C#, SQL, Spark, Terraform), he frequently converts tricky integration problems into repeatable, well-tested solutions.
12 years of coding experience
11 years of employment as a software developer
BA, Applied Computer Science, BA, Applied Computer Science at Hogeschool Odisee
Dutch, English, French
Stackoverflow
928reputation
94kreached
10answers
18questions
Github Skills (50)
asynchronous10
unit-testing10
debugging10
debug10
restsharp10
back-end-development10
python10
async10
testing10
net10
databricks10
dotnet10
cloud-infrastructure10
mvvm10
terraform10
Programming languages (26)
Github contributions (5)
databricks/terraform-provider-databricks
Apr 2020 - Feb 2021
Databricks Terraform Provider
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 reviews, 12 commits, 15 PRs in 9 months
Contributions summary:Sam primarily focused on fixing bugs, implementing features, and refactoring code within the Databricks Terraform Provider. Their contributions included fixing linting errors and addressing issues related to instance pools, including updating and recursive calls. They also made changes to the Azure ADLS Gen2 mount resource and the token creation process, as well as fixes to the cluster and notebook resources. These changes show their understanding of the provider's API and its interaction with Databricks services.
databricksgcpproviderazureterraform
dbt-labs/dbt-core
Jan 2021 - Sep 2022
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Role in this project:Backend Developer & QA Engineer
Backend Developer & QA EngineerContributions:2 reviews, 14 commits, 15 PRs in 1 year 8 months
Contributions summary:Sam primarily contributed to the `dbt-core` project by modifying the debug task and associated tests. The user made several changes to the debug task, including fixing exit codes, and incorporating checks for project and profile loading failures. Additionally, the user worked on improving the test suite, adding test cases for debug functionality and edge cases. The contributions focused on improving the robustness and reliability of the dbt core debugging and testing.
analyticsdbt-viewpointtransformanalystssql
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