Samuel Redai
Senior Software Engineer - Experimentation Platform
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolSamuel Redai is a Senior Software Engineer based in Cambridge, MA with seven years of experience building data-centric systems and experimentation platforms at Netflix. He is fluent in Python, JavaScript, and Go and has moved between hands-on data engineering, developer advocacy, and platform roles—bringing product-minded engineering to both internal tooling and user-facing developer experiences. Samuel contributes to notable open-source projects like Apache Iceberg, where he fixed Hive catalog issues and improved documentation and tooling, and has implemented production Databricks notebooks and Iceberg table workflows. He has led data engineering teams and delivered ML model serving frameworks in cloud environments, pairing technical implementation with stakeholder collaboration and cost/benefit analysis. Colleagues describe him as a pragmatic problem-solver who enjoys empowering data scientists and engineers with robust tooling and reproducible workflows. His background in biotech and enterprise ERP migrations gives him an uncommon blend of domain rigor and production-scale engineering.
7 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree (B.S.), Biology, Bachelor’s Degree (B.S.), Biology at Temple University
Github Skills (18)
spark10
data-pipelines10
python10
apache10
java10
javas10
hive10
sql10
apache-iceberg10
ice10
data-pipeline10
documentation10
data-warehouse9
databricks9
datamart9
Programming languages (10)
Github contributions (5)
databricks/docker-spark-iceberg
Oct 2021 - Oct 2022
Role in this project:
Data Engineer
Data EngineerContributions:16 reviews, 57 commits, 42 PRs in 1 year
Contributions summary:Samuel primarily contributed to the development and maintenance of data pipelines and Iceberg tables within a Databricks environment. Their work involved modifying and updating notebooks to align with blog posts, specifically focusing on loading, querying, and manipulating data using Spark and Iceberg. They added notebooks for integrated audit demos and general table maintenance procedures, showcasing their experience with Iceberg's features and best practices for data management and performance.
apache/iceberg
Oct 2021 - Oct 2022
Apache Iceberg
Role in this project:Back-end Developer & Documentation Specialist
Back-end Developer & Documentation SpecialistContributions:570 reviews, 47 commits, 52 PRs in 1 year
Contributions summary:Samuel contributed to the Apache Iceberg project by fixing a catalog initialization issue within the Hive integration. They also made significant changes to the documentation, including a theme change and the addition of query engine logos, indicating a focus on improving the user experience. Furthermore, they added Python-specific formatting tools such as black and isort, showing contributions to the development workflow. Additionally, they introduced operations for expressions and implemented file I/O protocols.
apache-icebergapachebig-datadatastreamjava
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