In today's data-driven landscape, organizations processing millions of daily transactions face critical performance bottlenecks that can severely impact operational efficiency. This comprehensive study presents a systematic approach to implementing PostgreSQL range partitioning for high-volume transaction systems, demonstrating measurable performance improvements in environments processing up to 20 million daily transactions. Through detailed analysis and practical implementation strategies, we explore how range partitioning transforms data management workflows, reduces query execution times, and optimizes resource utilization in enterprise-grade PostgreSQL deployments