Magnus Fagertun
Director Of IT at Brødrene Karlsen
Husøy, Troms og Finnmark, Norway
Summary
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SeniorMagnus Fagertun is a Director of IT based in Husøy, Norway, with nine years of experience building data platforms and leading IT and data projects for the Brødrene Karlsen group. He specializes in helping customers leverage Google Cloud to organize, analyze and innovate with their data, combining strategic leadership with hands-on engineering. An active open-source contributor to dbt-core and dbt-bigquery, he has driven finer-grained BigQuery partitioning (year/month/hour) and strengthened adapter robustness with comprehensive tests for datetime and timestamp handling. Magnus blends practical operational leadership with deep technical contributions to the data engineering ecosystem, ensuring production-grade solutions scale reliably. Outside of work he engages with the developer community as @db_magnus, reflecting a commitment to continual learning and shared tooling improvements.
9 years of coding experience
Stackoverflow
36reputation
1kreached
1answer
0questions
Github Skills (12)
data-modeling10
bigquery10
sql10
python10
viewpoint10
dbt10
data-engineering10
testing9
analytics8
database-administration7
json6
google-bigquery6
Programming languages (5)
Github contributions (5)
dbt-labs/dbt-core
Nov 2020 - Nov 2020
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:
Data Engineer
Data EngineerContributions:2 reviews, 13 commits, 1 PR in 11 days
Contributions summary:Magnus primarily focused on enhancing BigQuery partitioning within the dbt-core project. Their contributions included implementing granular partitioning options for year, month, and hour. They added comprehensive unit tests for various data types and partitioning configurations, and corrected a typo in the code. The user made refinements to improve the functionality and robustness of BigQuery adapter's partitioning logic.
analyticsdbt-viewpointtransformanalystssql
dbt-labs/dbt-bigquery
Nov 2020 - Nov 2020
dbt-bigquery contains all of the code required to make dbt operate on a BigQuery database.
Role in this project:Backend Engineer
Backend EngineerContributions:10 commits in 6 days
Contributions summary:Magnus focused on enhancing the dbt-bigquery adapter, specifically addressing BigQuery partitioning. Their contributions included implementing hour, year, and month partitioning, adding tests for datetime and timestamp data types, and refining date partitioning logic. They also improved the codebase with whitespace cleanup and addressed a typo. Further work involved supporting both uppercase and lowercase inputs for date partitions.
data-analyticsanalytics-engineeringdbt-packagessqloperate
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