How WebstaurantStore used Snowflake Cortex AI to automate dbt staging for 700+ sources in 90 days
Summary
WebstaurantStore's three-person data engineering team onboarded more than 700 sources in 90 days, roughly a tenfold gain in ingestion speed by their own measure, by automating dbt staging from landing through the bronze layer with no added headcount. Snowflake Cortex LLM functions propose readable column names and business definitions from legacy OLTP metadata, and engineers review them in an intermediate table that the dbt Jinja macros read from instead of the raw AI output.
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