Toptal helps top pharmaceutical company enhance ETL performance for faster decision-making.

Toptal optimized ETL processes for a pharmaceutical company, cutting processing times in half and enabling quicker, data-driven decisions during the COVID-19 pandemic.

Client

A global biopharmaceutical company developing medicines and vaccines across major therapeutic areas.

Employees

83,000+

Revenue

$54B

Industry

Healthcare and Life Sciences

Delivered Services

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Challenge

Slow ETL processing times were impacting workflows and delaying critical decision-making during a period of high demand for rapid data insights.

Solution

Multiprocessing Techniques

Toptal used Python libraries to implement multiprocessing, running ETL steps in parallel and significantly improving workflow efficiency.

Real-time Ingestion

Toptal introduced near-real-time data ingestion, reducing delays and providing faster access to actionable insights.

Outcome

50% Time Reduction

ETL processing time was reduced from 45-55 minutes to 20-25 minutes, dramatically enhancing operational efficiency.

Faster Decision-making

Near-real-time data access enabled the pharmaceutical company to make informed decisions quickly during a critical health period.

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