January 25, 2026
Working with one of the largest dairy farm companies in ANZ
In this case study, we describe how we reduced a dairy enterprise’s end-to-end data-loading time from roughly 1 hour 50 minutes to under 10 minutes by re-architecting file acquisition and ingestion. The approach emphasized careful system discovery, a switch from SFTP to Azure Blob Storage APIs with selective, parallelized downloads, and a dynamically configurable, multi–file-type ingestion pipeline driven by JSON. We share the architecture, design decisions, performance measurements, and practical tips without assuming unstated details.