Case Study: a leading global food and beverage company cuts data processing time by 70% with Toptal

a leading global food and beverage company cuts data processing time by 70% with Toptal

Toptal worked with a leading global food and beverage company that faced significant inefficiencies in its data engineering operations. Manual interventions and delays were common, as rerunning critical data pipelines depended on error-prone, manual input from another team, hindering overall productivity.

To solve this, Toptal implemented a solution using Microsoft Forms for streamlined input capture and integrated Azure Data Factory with Databricks for efficient automated processing. This reduced manual workload and improved inter-team communication. The results were substantial, with Toptal helping to cut data processing time by 70%, from 14 days down to 3-4 days, which saved approximately $7,000 in operational costs and fostered better ongoing collaboration.