A SQL query initially took fifteen hours to process, but after performance engineering adjustments by Vadim Laktushin, it was reduced to two minutes. Performance engineers (PEs) work to enhance IT system efficiency by identifying and resolving performance bottlenecks in application code, database management systems, configurations, and hardware. Vadim transitioned from a developer to a performance specialist at Postgres Professional after exploring benchmarks and system tuning. Performance issues often require complex solutions rather than straightforward fixes. For example, a client migrating from Oracle to PostgreSQL faced delays due to the Write-Ahead Log (WAL), which became a bottleneck during heavy write operations. PEs adhere to principles such as proactive analysis, reliance on data, and caution against quick fixes. Essential skills for PEs include programming, Linux expertise, understanding algorithms, statistical thinking, and effective communication. The future of performance engineering may involve specialization, and while AI can assist, it cannot replace human expertise in optimization tasks.