Toptal helps online marketplace reduce data processing costs by 40%.
An online marketplace struggling with unpredictable data processing costs worked with Toptal to optimize its Snowflake infrastructure and automate time-consuming financial reporting tasks.
Client
A US-based creator commerce platform connecting creators and brands for affiliate marketing and brand deals.
Employees
Revenue
Industry
E-commerceDelivered Services
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The company lacked visibility into the expensive queries driving its fluctuating Snowflake costs, making expenses difficult to predict. Manual invoicing processes also consumed significant analyst time and relied on spreadsheets that limited reporting accuracy.
Solution
Optimized Data Architecture
Toptal analyzed costly Snowflake queries using Sigma dashboards, then redesigned and optimized them using data normalization and Medallion architecture principles to improve processing efficiency.
Automated Invoice Generation
Using Snowflake, SQL, and Sigma, the data engineering work replaced manual spreadsheet-based invoicing with an automated dashboard that generated invoices from more accurate data sources.
Outcome
40% Cost Reduction
Snowflake optimization reduced data processing costs by 40%, making expenses more predictable and giving the company greater control over its ongoing data infrastructure spending.
Faster Invoice Processing
Automating the invoicing workflow for a major electronics brand reduced processing time from one week to just two to three hours, freeing analyst capacity and improving invoice accuracy.
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