Toptal achieves 35% cloud cost reduction for kitchen rental company’s data transformation.
A kitchen rental company faced high operational costs and data inconsistencies, prompting it to seek Toptal's help to enhance the scalability and performance of its restaurant database.
Client
A global infrastructure company supporting the growth of delivery-first food businesses.
Employees
Revenue
Industry
Consumer Packaged GoodsDelivered Services
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Toptal achieves 35% cloud cost reduction for kitchen rental company’s data transformation.
The company struggled with excessive operational costs tied to cloud services and data inconsistencies within their restaurant database, complicating processing and hindering decision-making efficiency.
Solution
Strategic Cost Reduction
Toptal reduced daily operational costs by migrating Airflow from Cloud Composer to a more economical VM instance, paving the way for further cost savings if Cloud Composer was fully decommissioned.
Systematic Data Management
To rectify data inconsistencies, Toptal executed a thorough data cleansing initiative, optimizing snapshots and master tables, and transitioning scheduled queries for more control.
Outcome
Substantial Cost Savings
The migration led to immediate reductions in daily operational expenses, and optimized resource use achieved a 35% decrease in monthly cloud costs.
Improved Data Integrity
Through systematic data cleansing and better scheduling, data accuracy was greatly improved, offering the company a reliable foundation for informed decision-making and efficient operations.
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