Redis Developer

Speed-critical features demand an in-memory data store, and Redis is the tool I reach for. Across 2 years my implementations include caching hot data for food ordering APIs — cutting database load by 70% — managing distributed user sessions behind a load balancer, and driving pub/sub patterns for real-time order-status updates. I enforce proper TTL strategies, structured key naming conventions, and memory eviction policies to keep Redis performant and predictable under production workloads.