Byron Ellis
Principal Staff Software Engineer, Big Data Pipelines & Platform Infrastructure
Pacifica, California, United States
Summary
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Rockstar🎓
Top SchoolByron Ellis is a Principal Staff Software Engineer with 13 years building large-scale distributed data platforms, currently focusing on big data pipelines and platform infrastructure at LinkedIn. He blends deep statistical training (PhD in Statistics from Harvard) with hands-on systems engineering, having led BigQuery Engine work for Apache Flink and BigQuery Storage and metadata initiatives at Google. An Apache Beam committer and contributor to its Java SDK and I/O transforms, he brings production-hardened open-source experience to complex streaming and batch systems. Byron’s background spans leadership roles from CTO to senior engineering manager, driving trust & safety analytics, fraud detection, and ML-driven optimization in high-throughput environments. Based in Pacifica, CA, he is as comfortable architecting low-latency data flows as he is mentoring cross-functional teams to operationalize models. A practical scientist at heart, he often surfaces subtle schema and reliability issues in production data pipelines before they become outages.
13 years of coding experience
21 years of employment as a software developer
PhD Statistics, PhD Statistics at Harvard UniversityUniversity of California, Los AngelesExchange Scholar Statistics, Exchange Scholar Statistics at Stanford University
Stackoverflow
46reputation
886reached
3answers
0questions
Github Skills (22)
back-end-development10
jdbc10
java10
javas10
apache-beam10
testing9
bigquery9
avro9
sql8
huggingface-transformers6
png6
apache-beam-io6
pdf6
google-cloud-dataflow6
pulsar6
Programming languages (3)
Github contributions (5)
apache/beam
Jun 2022 - Jan 2023
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:24 reviews, 3 commits, 17 PRs in 6 months
Contributions summary:Byron primarily focused on improving the stability and functionality of the Apache Beam Java SDK. They addressed flakiness in Spanner I/O write tests by adjusting retry logic and formatting comments. Additionally, the user implemented a JDBC schema transform, including configuration updates and validation, along with adding documentation and resolving minor formatting issues. Further contributions involved schema generation fixes for BigQuery, specifically detecting and handling potential schema collisions during Avro conversion.
golangpythonstreaming-databeambatch
byronellis/beam
Jun 2022 - Mar 2024
Apache Beam is a unified programming model for Batch and Streaming data processing.
Contributions:238 pushes, 34 branches in 1 year 9 months
stream-processingstreaming-databeambatchdata-processing
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