Optimizing Legacy SQL Infrastructure for High-Volume Fintech Transaction Processing

Challenge

Legacy SQL materialized views and views were causing performance bottlenecks in a fintech environment processing high daily transaction volumes. Slow queries were delaying financial operations, and some critical transaction reports took hours to generate.

Approach

• Analyzed existing materialized views and found bottlenecks through query execution plans and database profiling.
• Designed partitioning based on business logic: time-based partitions for transaction history and hash partitioning for high-frequency data.
• Separated hot (recent) and cold (historical) transaction data with an archiving strategy.
• Refactored complex materialized views into optimized tables with proper indexing.
• Automated partition maintenance and added monitoring dashboards for ongoing performance tracking.
• Set data retention policies aligned with financial compliance requirements.

Results

• Faster transaction-related reports and real-time transaction lookups.
• Fewer timeout errors on user queries and a smaller storage footprint after archiving.

Technologies

Oracle SQL, Talend.

Impact

Transaction queries and financial reporting became faster and more reliable, on a structure designed to handle growing volume.