Ian Knox
Staff Data Engineer
Greater Chicago Area United States
Summary
🤩
Rockstar🎓
Top SchoolIan Knox is a Staff Data Engineer with 5+ years focused on building high-performance data platforms and developer tools across both startup and enterprise environments. He has driven substantial performance gains at dbt Labs by reworking graph algorithms and turning a CLI into a programmatic Python interface, and contributed core improvements to the widely-used dbt-core open-source project. At Capital One and prior roles he architected ELT pipelines, table-level access controls, and validation frameworks that cut testing time in half and supported hundreds of analysts. His background spans data ingestion, cloud architecture, and performance profiling—including experiments that accelerated processing on GPUs by orders of magnitude. A Georgia Tech computer science master’s graduate with a creative BFA foundation, he blends rigorous engineering practices (type checking, CI/CD, packaging) with an eye for clear technical communication and cross-team mentorship. Notably, he maintains separate GitHub identities to separate employer-associated contributions from personal projects, signaling deliberate open-source stewardship.
5 years of coding experience
13 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of TechnologyBachelor of Fine Arts (BFA), Theatre, Bachelor of Fine Arts (BFA), Theatre at East Carolina University
English
Github Skills (11)
python10
dbt10
testing9
data-modeling9
database-administration8
databases8
data-engineering8
database8
elt8
analytics8
admin8
Programming languages (4)
Github contributions (5)
dbt-labs/dbt-core
Apr 2021 - Jan 2023
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:307 reviews, 128 commits, 149 PRs in 1 year 9 months
Contributions summary:Ian's commits focus on enhancing the functionality of dbt-core. They implemented changes to the schema parsing process, adding hashing to unique IDs for schema tests and modifying how unique IDs are generated. They also introduced new features for RPC and testing changes. The user demonstrates an understanding of the dbt ecosystem.
analyticsdbt-viewpointtransformanalystssql
dbt-msft/docs.getdbt.com
Jan 2022 - May 2022
The code behind docs.getdbt.com
Contributions:6 commits in 3 months
code-behind
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