Case Study: Jollyes Scales Retail Data Workflows with Etlworks

Jollyes Scales Complex Retail Data Workflows with Etlworks

Jollyes, one of the largest pet retailers in the UK, needed a scalable way to manage complex data integration across APIs, SFTP file drops, and transactional databases. The company faced inconsistent data formats, growing data volumes, and the need to coordinate pipelines with dependencies and retries, all while supporting analytics and operational reporting.

Using Etlworks, Jollyes built automated ETL workflows that ingest, transform, and load data into Snowflake from multiple internal and external sources. Etlworks enabled centralized reporting, faster analytics, improved operational efficiency, and scalable orchestration with monitoring and error handling, helping Jollyes reduce manual data prep and support real-time decision-making.

Jollyes