Jack Klamer - Senior Distributed Systems Engineer at Netflix

Jack Klamer

Senior Distributed Systems Engineer at Netflix

Boston, Massachusetts, United States

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Summary

🤩

Rockstar

🎓

Top School

Jack Klamer is a Senior Distributed Systems Engineer with 11 years building data platforms and machine learning infrastructure, now shaping data platform work at Netflix from Boston. He brings deep backend expertise in distributed SQL and data serialization—contributing to Trino’s Iceberg Glue integration and implementing a robust Rust Avro implementation, including tricky recursive schema resolution. At Starburst he progressed from engineering to staff level, designing time-travel workflows and dynamic catalogs, and earlier roles at Apple and in robotics-focused MLOps show a strong cross-domain track record. Jack favors practical, config-light data systems (as his GitHub motto suggests) and focuses on reducing operational complexity when integrating with cloud metadata services. Colleagues rely on him for technical leadership on hard data problems and for shipping well-tested, interoperable systems that bridge analytics and ML.

11 years of coding experience

10 years of employment as a software developer

Clayton High School

B.S., Computer Engineering, Magna Cum Laude, B.S., Computer Engineering, Magna Cum Laude at University of Notre Dame

Github Skills (24)

avro10

data-serialization10

java10

serialization10

javas10

apache-iceberg10

ice10

aws-glue10

rust10

testing9

data-lake9

query-engine8

code-formatting8

unit-testing8

der7

Programming languages (4)

JavaRustGoMarkdown

Github contributions (5)

apache/avro

Jan 2022 - May 2022

Apache Avro is a data serialization system.

Role in this project:

Back-end Developer

Contributions:63 reviews, 26 commits, 14 PRs in 4 months

Contributions summary:Jack primarily contributed to the Apache Avro project by implementing and refining the Rust implementation of Avro. Their work involved fixing schema resolution issues, particularly focusing on recursive record resolution and namespace handling. The user also added tests, improved code formatting, and addressed clippy errors. Additionally, the user contributed to the single object encoding support and derive macro for generating Avro schemas.

avrobigdatadotnetpythonrust

trinodb/trino

Dec 2022 - Dec 2022

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Role in this project:

Backend Developer

Contributions:171 reviews, 1 commit, 32 PRs in 1 day

Contributions summary:Jack's commits focus on enhancing the Iceberg Glue catalog integration within Trino. These changes involve implementing and testing features related to Glue API invocation counts for Iceberg, ensuring efficient interaction with AWS Glue. The work includes modifications to Java test files, specifically `TestIcebergGlueCatalogAccessOperations.java`. This indicates a focus on improving the system's ability to interact with data lakes managed by AWS Glue.

prestodbdbmsindexingjdbcbigdata

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