Toptal reduces data processing time by 70% for Fortune 500 food and beverage company.
Toptal optimized data engineering processes for a leading food and beverage company, reducing inefficiencies and improving collaboration.
Client
A leading global food and beverage company with a portfolio of iconic brands spanning snacks, drinks, and nutrition products.
Employees
Revenue
Industry
Consumer Packaged GoodsDelivered Services
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Inefficiencies in data engineering operations led to delays and manual interventions, as rerunning data pipelines depended on inputs from another team.
Solution
Microsoft Forms Integration
Toptal implemented Microsoft Forms to capture inputs from the deployment team, replacing error-prone CSV exchanges and improving communication.
Azure Data Factory
Toptal integrated Azure Data Factory and Databricks to efficiently process new data entries, checking for updates hourly and reducing manual workload.
Outcome
70% Faster Processing, $7K Saved
Processing times were cut from 14 days to 3-4 days, saving the company approximately $7,000 in operational costs.
Improved Team Collaboration
Automated processes fostered better collaboration and communication, leading to sustained improvements in data engineering operations.
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