Case Study: a US-based global animal health company accelerates data reporting with Toptal

A US-based global animal health company accelerates data availability with Toptal

A US-based global animal health company was struggling with inconsistent data ingestion processes that created reporting delays and increased manual work. The company partnered with Toptal to find a scalable solution for processing data without compromising on quality or accessibility.

Toptal engineers used Azure Databricks, Delta Lake, and PySpark to build automated, reusable data pipelines and implemented a structured data architecture with Unity Catalog. This solution accelerated data availability for analytics, improved stability, and gave business teams quicker access to more trustworthy insights for informed decision-making.