
Emily Riederer
Data science manager at Capital One and cross‑language tool author focused on R, Python, and SQL ergonomics; known for work on dbtplyr, writing about column selectors and data quality, and learning-in-public advocacy.
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Jan 26, 2026 • 58min
Emily Riederer: Column selectors, data quality, and learning in public
Emily Riederer, a data science manager at Capital One and cross-language tool author, talks about her journey through R, Python, and SQL. She dives into messy real-world data, the rise of dbt and better SQL tooling, and why column selectors (yes, really) change ergonomics. She also discusses learning in public, imposter syndrome, and solving boring but high-impact problems.


