Toptal helps veterinary pharmaceutical company streamline data processing and reporting.
An animal health company struggling with delayed data availability partnered with Toptal to modernize its data pipelines and improve the speed and accuracy of business reporting.
Client
A US-based global animal health company offering medicines, vaccines, diagnostics, and digital solutions.
Employees
Revenue
Industry
Healthcare and Life SciencesDelivered Services
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Inconsistent data ingestion processes across multiple sources created delays in reporting and increased manual work. The company needed a scalable approach to processing data without compromising quality or accessibility.
Solution
Automated Data Pipelines
Toptal engineers used Azure Databricks, Delta Lake, and PySpark to build reusable data pipelines that standardized ingestion and simplified onboarding new data sources.
Structured Data Architecture
The team implemented a layered data architecture with Unity Catalog to organize information, manage access, and improve data traceability across systems.
Outcome
Faster Data Availability
Automated pipelines reduced manual processing and accelerated data availability for analytics and reporting, improving stability and simplifying new data integration.
More Trustworthy Insights
Improved data quality and governance gave business teams quicker access to consistent information, supporting more informed decisions and earning positive stakeholder feedback.
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