Corbin Kohn
Owner at Newton Dog Walking Inc.
Sherborn, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolCorbin Kohn is an experienced entrepreneur and technical practitioner with 14 years in software and a long history of running a small business as owner of Newton Dog Walking Inc. Based in Sherborn, MA, he blends practical operations and project management experience from roles at Ask Jeeves and earlier financial consulting with hands-on back-end and data engineering work in open-source projects like Apache Gobblin. His contributions to Gobblin emphasize reliability, performance and data integrity across distributed data pipelines, showing a focus on durable, production-ready systems. Corbin’s background in business administration informs a pragmatic approach to engineering trade-offs and stakeholder communication. He brings a rare combination of client-facing small-business leadership and deep technical effort on complex ETL and data flow problems. Colleagues can expect someone who values robustness and clean refactors as much as practical delivery.
14 years of coding experience
3 years of employment as a software developer
BS, Business Administration, BS, Business Administration at Questrom School of Business, Boston University
Github Skills (7)
javas10
data-pipelines10
data-pipeline10
mysql10
java10
data-engineering10
temporal8
Programming languages (1)
Github contributions (5)
apache/gobblin
Aug 2021 - Jan 2023
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:1220 reviews, 19 commits, 78 PRs in 1 year 5 months
Contributions summary:Corbin primarily contributed to the Apache Gobblin data integration framework. Their work focused on improving system reliability and performance, particularly concerning data pipelines. The user's commits involved fixing issues related to database connections, ensuring the consistent and accurate retrieval of data from diverse sources. In addition, they were responsible for refactoring code, ensuring data integrity, and adding features related to data flow management.
datadcosdata-streambig-data-integrationbatch-data
phet/gobblin
Aug 2021 - Jan 2025
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Contributions:3 reviews, 133 pushes, 59 branches in 3 years 5 months
operationbig-data-integrationbatch-dataecosystemsaspects
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