Toptal helps Zoetis cut diagnostic data processing time by 93% and reduce costs by 67%.

The global animal health leader needed a scalable, near real-time data platform to replace its fragmented, high-cost ecosystem.

Client

Zoetis is the world’s leading animal health company advancing vaccines, medicines, and diagnostics for pets and livestock.

Employees

14,000+

Industry

Healthcare and Life Sciences

Delivered Services

Data Engineering Services Data Management Services Data Integration Services Data Warehousing Services

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Challenge

Zoetis, the world’s largest animal health company, needed to modernize its diagnostics data ecosystem. The existing system, built on aging technology, caused latency of up to 15 minutes for diagnostic results and higher operational costs, limiting scalability as data volumes increased.

Solution

Modernizing with a scalable data platform

Toptal assembled a specialized team with deep expertise in Databricks, Azure, Python, and SQL to redesign Zoetis’s diagnostic data ecosystem. The team built a unified, near real-time platform that streamlined ingestion, transformation, and delivery, reducing latency from 15 minutes to under one minute.

Streamlined testing and improved reliability

In addition to rearchitecting the platform, the team introduced reusable testing tools and rigorous validation frameworks using Databricks notebooks, SQL, and Python. These improvements enhanced data trust, reduced bugs, and ensured smooth adoption across development phases.

Outcome

15x faster data, improved customer experience

With the new platform, diagnostic results now flow from analyzers to Zoetis systems in under 60 seconds, down from an average of 15 minutes. Customers gain near real-time visibility into transactions, significantly improving their experience and operational efficiency.

Cost savings and long-term scalability

By simplifying the architecture and optimizing cloud storage and infrastructure, Zoetis cut platform operating costs by approximately two-thirds, including an estimated $325,000 in annual cloud hosting savings. The scalable, reliable system positions the company to handle growing data demands and future innovation initiatives.

Data Engineering Services Data Management Services Data Integration Services Data Warehousing Services Cloud Infrastructure Services Big Data Services Python Development Services SQL Server Consulting Azure DevOps Services Data Engineering Data Warehouse ETL Big Data Architecture Python SQL Databricks Azure

By embedding Toptal’s top-class data architects and engineers directly within our Data Services team, we accelerated the rollout of a scalable Databricks platform. Toptal didn’t simply deliver expertise; they became intrinsic members of the team.
John Farkas
Global Dx Solution Architecture Head

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