Toptal builds unified data platform to boost data accuracy for Fortune 500 food company.
A leading company in the consumer food industry turned to Toptal to develop a unified data platform for streamlined global media performance data integration.
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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Schedule a CallChallenge
The company’s outdated manual processes created fragmented workflows and unreliable legacy system integrations, complicating the acquisition of accurate insights from diverse data structures.
Solution
Unified Platform Development
Toptal established a state-of-the-art unified platform that integrated media campaign performance data from global sources into a secure Azure Databricks lakehouse environment.
Robust Integration Methodology
Toptal applied Medallion architecture on Azure Databricks to develop a comprehensive integration strategy that effectively managed diverse data types.
Outcome
Increased Data Precision
This platform significantly enhanced data accuracy and user satisfaction by centralizing and streamlining global media data collection processes.
Positioned for Expansion
By creating a robust data integration strategy, Toptal set the foundation for further integration with the company’s enterprise data operations, aiding its global data governance program.
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Discover talent from the Toptal network with expertise in the capabilities highlighted in this case study.
Alexandre França de Magalhães
Data Architect and Developer
Previously at
Mabrouk Gadri
Data Warehouse Engineer
Previously at
Pavel Logacev
Data Scientist
Previously at
Data Architect and Developer
Brazil
Member since February 4, 2022
Alexandre is a data solutions architect and engineer with over eight years of professional experience. His primary experiences include designing and building data lakes and warehouses, as well as processing data using available resources such as Spark, SQL from databases, and Pandas. Alexandre is familiar with Azure and the AWS stack, but is open to working with other cloud platforms as well.