Elias Djurfeldt is a software engineer with 10 years’ experience building cloud-native, scalable back-end systems and data pipelines from Stockholm. He’s contributed to Apache Beam—adding Datastore and Video Intelligence integrations and improving BigQuery support—demonstrating deep familiarity with streaming/batch data processing and GCP. Elias has delivered production systems and DevOps automation at companies including Spotify and VALIDIO, and presented a breakout session on Automated Canary Analysis with Spinnaker at Google Cloud Summit. Comfortable spanning infrastructure, data engineering, and application development, he combines research-quality rigor from UCL with practical delivery experience across consultancy and product teams. Notably, he pairs hands-on open-source contributions with a knack for making complex cloud integrations more flexible and testable.
10 years of coding experience
6 years of employment as a software developer
Naturvetenskap, 21.9, Naturvetenskap, 21.9 at Polhemsgymnasiet
Computer Science, Computer Science at Chalmers tekniska högskola
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Contributions:6 commits, 6 PRs, 68 comments in 2 years 1 month
Contributions summary:Elias contributed to the Apache Beam project by implementing features and resolving issues related to the Google Cloud Datastore and Video Intelligence APIs. Their work includes allowing ValueProviders in Datastore query filters and namespaces, enhancing the flexibility of the Datastore integration. The user also integrated GCP Video Intelligence functionality, adding a connector for video annotation. Additionally, the user provided support for value provider query strings in BigQuery and improved BigQuery integration.
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