Joe Bell
Senior Cloud Software Services Engineer at NVIDIA
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJoe Bell is a senior cloud software services engineer in Seattle with a decade-plus track record building enterprise infrastructure and platform tooling that scales hundreds of teams and thousands of engineers. A Terraform expert and longtime steward of internal IaC standards, he has led transformations at Twitter and other companies to centralize CI/CD, self-service IAM, and cost-optimized automation that turned operational work into developer velocity. He combines hands-on engineering (notably contributions to the popular Airbyte data integration project) with founder instincts from running a bootstrapped subscription startup where he built efficient, auto-scaling infrastructure as the sole engineer. Joe excels at turning reliability and security requirements into measurable business outcomes—provisioning times cut from days to hours, deployments sped up by 95%, and SOC2 readiness achieved—while still shipping practical developer experience improvements.
9 years of coding experience
14 years of employment as a software developer
Bachelor of Fine Arts (BFA) Cinematography and Film/Video Production, Bachelor of Fine Arts (BFA) Cinematography and Film/Video Production at University of Wisconsin-Milwaukee
Github Skills (10)
javas10
data-pipeline10
data-pipelines10
data-integration10
java10
dockers9
testing9
docker9
python8
postgresql8
Programming languages (7)
Github contributions (5)
airbytehq/airbyte
Jan 2023 - Jan 2023
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Role in this project:
Backend Developer
Backend DeveloperContributions:346 reviews, 5 commits, 139 PRs in 22 days
Contributions summary:Joe contributed to the Airbyte platform by implementing and improving data integration pipelines. Their work focused on enhancing error handling for authentication issues in various connectors and optimizing data ingestion processes by randomizing namespaces to avoid false successes in testing. They also added and updated Docker debugging options, enhancing the platform's development and debugging capabilities. Additionally, they made a series of code refinements to improve the robustness and error management of the system.
operationpythondataintegration-platformdata-warehouse
jbfbell/team-scheduler
Sep 2016 - Aug 2017
Contributions:2 pushes, 1 branch in 11 months
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