Toptal enhances data performance and automation for agricultural science and technology company.
A leader in agricultural science enlisted Toptal to refine Snowflake processes, improve data integrity, and establish a CI/CD framework for seamless database management.
Client
A global agriculture company developing crop protection and seed solutions to boost farm productivity and food security.
Employees
Industry
AgricultureDelivered Services
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Schedule a CallChallenge
The client lacked in-house Snowflake expertise, leading to inefficiencies. Data migrations between environments required manual intervention, and the absence of a CI/CD framework limited automation and visibility into schema changes.
Solution
Performance optimization
Toptal collaborated with the client’s teams and engineers to analyze slow-performing queries, refine data views, and optimize storage structures. By introducing primary and foreign key constraints, the team improved data integrity and accelerated query execution.
Automated CI/CD for Snowflake
To modernize database management, Toptal assessed schema migration tools, including SchemaChange, Flyway, and Liquibase, to determine the best fit for the client’s needs. The team then integrated Liquibase with GitLab CI/CD and EC2, automating schema updates and enhancing governance.
Outcome
Faster, more reliable queries
Optimized table structures and schema enhancements resulted in significantly improved query performance, reducing execution times and enhancing analytics capabilities. Automated Iceberg table migrations also increased efficiency, minimizing delays and manual effort.
Stronger data governance and automation
The new CI/CD pipeline provided real-time schema management, enabling automated testing and proactive monitoring of database changes. With improved governance and enhanced visibility into data transformations, the client’s Snowflake infrastructure is now more scalable, efficient, and future-proof.
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