Joar Wandborg is a senior data engineer based in Stockholm with 15 years of hands-on experience building production systems across Python, Java, Scala and modern JavaScript stacks. Self-taught from early web technologies to distributed data platforms, he has a strong track record shipping backend, data-processing and CI/CD solutions—often bridging roles between full-stack, DevOps and data engineering. At EQT he helped bring an outsourced Motherbrain platform in-house, operating Kubernetes/GKE, GraphQL frontends, Kafka pipelines and both Python and Java Apache Beam workloads. An active contributor to Apache Beam, he’s improved BigQuery integrations and test automation, reflecting a pragmatic focus on reliable data pipelines and testability. Colleagues know him for enjoying the “click” moments of debugging distributed systems and for preferring good, maintainable code over clever shortcuts.
15 years of coding experience
13 years of employment as a software developer
Natural Sciences & Art, Natural Sciences & Art at Solvikgymnasiet
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:1 review, 27 commits, 5 PRs in 1 month
Contributions summary:Joar contributed to the Apache Beam project by addressing issues related to file matching and BigQuery integration. Their work involved modifying Python code, specifically focusing on local filesystem operations and enhancing the BigQuery source to accommodate different locations. The user also improved the test suite by adding test cases and fixing existing ones. Furthermore, they contributed to the testing framework.
Contributions:34 commits, 20 pushes, 1 branch in 10 months
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