Toptal optimizes data management for global retail company.
A global retail company partnered with Toptal to enhance data management and decision-making by addressing challenges with fragmented databases.
Client
A U.S.-based global footwear and apparel company operating a portfolio of lifestyle and performance brands.
Employees
Revenue
Industry
Consumer ProductsDelivered Services
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Schedule a CallChallenge
The company’s data management was hindered by fragmented NoSQL databases across multiple regions, leading to poor report performance and difficulty in gaining actionable insights.
Solution
Event-driven ETL
Toptal implemented an event-driven extract, transform, and load (ETL) pipeline using AWS Glue and Lambda functions, centralizing data into a master SQL database.
Legacy Data Integration
Toptal integrated legacy customer relationship management and Oracle point of sale systems into the master database, enriching it with historical data.
Outcome
Centralized Data Management
Toptal’s ETL pipeline consolidated regional data into a centralized database, significantly improving data management practices.
Enhanced Reporting
The enriched master database enabled comprehensive analysis through multiple Tableau dashboards, boosting operational efficiency.
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