Case Study: Lima One Capital doubles in size with Matillion ETL for Snowflake

Simplifying Data Transformation Helps Lima One Capital Double in Size

Lima One Capital, a Greenville-based specialty mortgage lender, faced rapid growth but lacked the time, people, and capital to turn large volumes of operational data into actionable insight. To simplify data transformation and enable self-service analytics, the company selected Matillion and deployed Matillion ETL for Snowflake as part of a cloud data stack.

Working with partner Data Meaning, Lima One Capital implemented Snowflake on Azure with Matillion ETL for Snowflake to load and transform data from CSVs, on‑prem SQL, Salesforce and Azure Blob Storage; Tableau and Alteryx were used for analytics. Matillion enabled an 80% ETL buildout in one quarter, hourly loads completed in ~20 minutes, automated nearly 6,000 task hours annually, created an analytics program that is 85% self‑service, reduced data entry by ~20%, and supported Lima One Capital’s doubling in size within 10 months.

Lima One Capital

Lucas Whaley

Director of Technology