Justin Eyster

Data Engineer

Pennsylvania, United States
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Summary

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Senior
🎓
Top School
Justin Eyster is a data engineer with 10 years of experience building secure, scalable data platforms and analytics pipelines across IBM, Capital One, and GameChanger. He specializes in data lakehouse management, distributed streaming ETL, and automating data privacy and security compliance for petabytes of sensitive customer and business data. At IBM he earned top technical awards for analytics and for creating widely used client-side secret-detection tooling, and he continued that security-focused open-source work contributing detectors to the popular detect-secrets project. As a former team lead at Capital One he delivered automation that tightly integrated with application teams to remediate data vulnerabilities, and today he focuses on central data platform reliability and governance. Colleagues rely on him for pragmatic, production-ready solutions that balance data access with rigorous privacy controls.
code9 years of coding experience
job10 years of employment as a software developer
bookBachelor of Science (BS) Computer Science & Engineering, Bachelor of Science (BS) Computer Science & Engineering at Bucknell University
bookInformatics, Informatics at The University of Edinburgh
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Stackoverflow

Stats
989reputation
115kreached
1answer
2questions
Badges
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top-5%
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Github Skills (16)

regular-expression10
pytest10
python10
security10
artifactory9
apidoc9
api9
json9
neural-network6
pandas6
convolution6
deep-learning6
aws-glue6
amazon-web-services6
tensorflow6

Programming languages (7)

TypeScriptJavaDockerfileScalaJavaScriptGoPython

Github contributions (5)

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Yelp/detect-secrets

Apr 2019 - Oct 2019

An enterprise friendly way of detecting and preventing secrets in code.
Role in this project:
userSecurity Engineer & Back-end Developer
Contributions:14 commits, 2 PRs, 7 comments in 6 months
Contributions summary:Justin primarily contributed to enhancing the security features of the `detect-secrets` project by introducing and refining detectors for various secrets, including Artifactory and SoftLayer credentials, and IBM Cloud IAM keys. Their work involved implementing regular expressions to identify sensitive information within code and configuration files, along with the addition of verification methods. The user also refactored existing code and improved test coverage.
secrets-detectionsecuritysecretsyelpdetecting
IBM/docker-trino

Sep 2017 - Sep 2022

Presto server with Db2 connector
Contributions:7 reviews, 12 commits, 7 PRs in 5 years 1 month
db2connectorpresto-serverdockerpresto
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Justin Eyster - Data Engineer