Timothy Brown
Data Infrastructure Engineer
Washington, District of Columbia, United States
Summary
🤩
Rockstar🎓
Top SchoolTimothy Brown is a seasoned data infrastructure engineer with 10 years of experience building low-latency, reliable systems for fraud detection and large-scale data platforms. He has driven production migrations, HBase tuning, ETL pipelines, and streaming transformations at companies like Sift Science, LinkedIn, and Palo Alto Networks. At Onehouse he led development of OneTable (now Apache XTable incubating) and became a top contributor to Apache Hudi, refactoring core transaction and read/write paths and adding support for proto schemas and unstructured/AI use cases. Based in Washington, D.C., he blends deep backend systems expertise with an open-source mindset, contributing performance and robustness fixes to widely used projects like Apache Hudi. Notably, his work often focuses on making complex distributed storage behave predictably under real workloads, reducing cost and operational friction.
11 years of coding experience
12 years of employment as a software developer
Bachelor's Degree, Electrical Engineering and Computer Science, Bachelor's Degree, Electrical Engineering and Computer Science at University of California, Berkeley
English
Github Skills (17)
avro10
apache-hudi10
kafka10
java10
javas10
parquet10
schema-changes10
protobuffer10
protobuf10
data-engineering9
apache-spark9
data-pipelines9
big-data9
metric9
data-pipeline9
Programming languages (5)
Github contributions (5)
apache/hudi
Jul 2022 - Jan 2023
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1132 reviews, 36 commits, 211 PRs in 6 months
Contributions summary:Timothy's contributions primarily involve enhancing the Apache Hudi data lake platform. They implemented fixes for Log4j2 configuration, removal of Log4j1 dependencies, added support for ProtoKafkaSource, refined the schema handling for proto messages (including recursive schemas and handling of well-known types), improved metrics reporting and handling of metrics, and addressed various build and compilation issues. The commits showcase a strong focus on optimizing performance, and improving the efficiency and robustness of data ingestion and management within the Hudi framework.
big-dataincremental-processinghudiapachehudidatalake
apache/incubator-xtable
Nov 2023 - Jun 2026
Apache XTable (incubating) is a cross-table converter for lakehouse table formats that facilitates interoperability across data processing systems and query engines.
Contributions:472 reviews, 117 PRs, 142 pushes in 2 years 7 months
query-engineapache-hudiapache-icebergdelta-lake
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