Matthias Baetens
Resident Solutions Architect at Databricks
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolMatthias Baetens is a Resident Solutions Architect at Databricks with 11 years of experience designing cloud-native data platforms and leading data engineering teams across Europe and Asia. He blends a strong engineering background in computer science with a Master in Marketing Analysis to translate business needs into scalable, cost-efficient architectures—having cut ETL costs by over 90% and automated infrastructure from days to seconds in prior roles. An active Apache Beam committer and co-founder of the Beam Summit, he has contributed cross-language Beam integrations (including Google Cloud Recommendations AI) that extend a widely used open-source data processing framework. Comfortable speaking at major industry events and building communities, he pairs hands-on implementation skills (Java, Python, Terraform, Kubernetes, BigQuery) with mentoring and product-focused leadership. Based in Singapore, he combines a restless curiosity for travel and multicultural collaboration with a knack for turning complex ML/data patterns into production-ready pipelines.
11 years of coding experience
11 years of employment as a software developer
Master of Science (M.Sc.), Marketing Analysis, Master of Science (M.Sc.), Marketing Analysis at Ghent UniversityLondon School of Economics and Political ScienceTechnical University of Denmark
Dutch, English, French, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
javas10
apache-beam10
python10
java10
gcp10
big-data9
machine-learning8
go5
sql4
streaming4
Programming languages (9)
Github contributions (5)
apache/beam
Jun 2018 - Dec 2021
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 reviews, 16 commits, 19 PRs in 3 years 6 months
Contributions summary:Matthias contributed to the Apache Beam project by implementing features related to integrating Google Cloud's Recommendations AI functionality. They modified Java and Python SDK files, as well as documentation, demonstrating work across multiple Beam language SDKs. The user's contributions included adding new patterns and integrations that likely extended the capabilities of the Beam project with advanced machine learning and data processing features.
golangpythonstreaming-databeambatch
matthiasa4/beam
Oct 2018 - Dec 2021
Apache Beam
Contributions:96 pushes, 10 branches in 3 years 1 month
beamapachebig-datajavaapache-beam
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