Filipe Regadas
Software Engineer at Spotify
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolFilipe Regadas is a Software Engineer based in New York with 14 years of experience building reliable back-end systems, data pipelines, and infrastructure tooling. Currently at Spotify, he brings deep expertise in software specification, data warehousing, and data quality while frequently improving build systems and dependency hygiene across large Scala codebases. His open-source contributions span high-profile projects—Apache Beam, twitter/algebird, and sbt—where he focuses on build maintenance, BigQuery integrations, and Spark runner improvements that keep complex data tooling production-ready. Comfortable bridging development and DevOps, he has added Docker packaging, CI-friendly fixes, and binary-compatibility checks to downstream projects, reflecting a pragmatic approach to long-term maintainability. He combines systems administration roots with modern cloud/data engineering practices, and quietly excels at preventing tech debt through meticulous build and dependency work.
14 years of coding experience
9 years of employment as a software developer
Universidade do Minho
Portuguese, English
Github Skills (40)
dependency-manager10
dependency-management10
docker10
build-configuration10
bigquery10
dependency-analysis10
testing10
amazon-elasticsearch10
sbt10
dockers10
plugin10
java10
scala10
javas10
elasticsearchquery10
Programming languages (17)
Github contributions (5)
spotify/scio
Jun 2017 - Apr 2022
A Scala API for Apache Beam and Google Cloud Dataflow.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 releases, 574 reviews, 707 commits in 4 years 11 months
Contributions summary:Filipe's contributions primarily focused on improvements and enhancements related to the Elasticsearch integration within the Apache Beam Scala API. They addressed issues related to the Elasticsearch integration, including error handling and utilizing action requests. The user implemented and optimized the API style and efficiency, by adding max bulk request size and creating more efficient use of the source code. They also worked on improving the code around elasticsearch related to indexing and made the appropriate fixes.
apidatabeambatchbigquery
twitter/algebird
Sep 2019 - Sep 2022
Abstract Algebra for Scala
Role in this project:Back-end Developer
Back-end DeveloperContributions:168 reviews, 56 commits, 269 PRs in 3 years
Contributions summary:Filipe primarily focused on updating and maintaining the build configuration of the Algebird library, which involves abstract algebra concepts in Scala. Their contributions include updating sbt and related plugins, fixing issues related to MIMA, and adjusting Scala versions. They also implemented changes to run JUnit tests and addressed MiMa false positives. Furthermore, the user applied scalafix to improve the code's format.
scalaalgebraabstract-algebrafunctional-programming
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