Toptal accelerates global pharma company’s data migration with 50% faster data ingestion.
Faced with demands from COVID-related initiatives, a Fortune 500 pharmaceutical company sought to enhance data management by migrating databases from Redshift to Snowflake to address slow query performance and long ETL load times.
Client
A global biopharmaceutical company developing medicines and vaccines across major therapeutic areas.
Employees
Revenue
Industry
Healthcare and Life SciencesDelivered Services
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Schedule a CallChallenge
Frequent Redshift failures created bottlenecks in data processing, slowing queries, and inefficient ETL processes, hindering timely access to critical data.
Solution
Agile Migration Approach
Toptal used Agile Scrum to manage the migration, breaking the process into manageable tasks and leveraging Liquibase for seamless database transitions with minimal disruptions.
Performance Optimization
Toptal restructured data ingestion by relocating SQL logic to the database server and utilizing parallel ingestion methods, significantly improving execution speed.
Outcome
Faster Data Processing
The migration reduced data ingestion times by 50%, improving data accessibility and boosting efficiency across teams.
Supply Chain Improvement
Enhanced monitoring of lot movements and batch statuses improved supply chain management, enabling faster, more informed decision-making during the pandemic response.
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