Toptal transforms data infrastructure for efficient decision-making.
A leading meal-kit provider enhanced its data quality and ML operations with Toptal’s comprehensive data engineering solution, enabling efficient decision-making.
Client
A global meal-kit and food-delivery company serving millions of subscribers across multiple international markets.
Employees
Industry
Consumer ProductsDelivered Services
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Schedule a CallChallenge
The company faced limited data engineering resources, compromised data quality, complex ETL pipelines, and an underdeveloped machine learning (ML) platform.
Solution
Centralized Features
Toptal developed a feature store and MLOps platform, centralizing features and migrating siloed ETL pipelines into a unified system.
Swift Execution
Toptal executed the ML strategy, built necessary platforms and tools, and standardized ML model development, enhancing data quality and sharing technical knowledge with engineers.
Outcome
Enhanced Infrastructure
Centralizing features and consolidating ETL pipelines significantly improved data reliability and facilitated complex model development at scale.
Accelerated Development
Streamlined and standardized ML development increased the speed of model deployment, reducing time to production and enabling timely business decisions.
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