Cody Peterson is a technically deep product leader with six years of experience building data, ML, and developer-focused products across Microsoft, dbt Labs, Voltron Data, and Ascend.io. He helped evolve Azure Machine Learning’s v2 developer experiences and MLOps capabilities, launched dbt Python models to enable polyglot pipelines and lightweight ML in dbt Cloud, and now leads product for agentic data engineering at Ascend. Cody pairs product strategy with hands-on contributions to open-source data tooling—enhancing Ibis backend support for Delta Lake and multi-backend integrations—so he speaks fluently to engineers and maintainers alike. Based in Gainesville, FL with an EE degree from Rice, he favors shipping delightful developer workflows and practical production patterns that bridge analytics and data science.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at Rice University
Contributions:252 reviews, 1 commit, 146 PRs in 1 day
Contributions summary:Cody primarily focused on enhancing the Ibis library's backend capabilities, specifically around the integration of Delta Lake support for various database backends such as DuckDB, Polars, and DataFusion. Their work included implementing `read_delta` and `to_delta` methods, adding necessary dependencies, and writing tests to ensure functionality. They also addressed documentation and linting issues.
Contributions:1 review, 67 PRs, 277 pushes in 1 year 2 months
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