Rahul S.

Senior engineer, 10+ years across Go backends and streaming data systems — I build the services AND the pipelines that feed them, so you don't need two hires. Production systems, not prototypes: ~40k req/sec APIs and ~25M events/day pipelines. RECENT RESULTS • Cut API p99 latency from 640ms to 110ms on a 40k req/sec Go service by fixing N+1 queries, adding Redis caching, and tuning connection pools. • Built a Kafka + Spark pipeline processing 25M events/day into Redshift, powering near-real-time analytics dashboards. • Migrated a monolith to gRPC microservices on EKS — cut inter-service p95 latency ~55% and infra cost ~30%. BACKEND • Go (Gin/Fiber), gRPC, REST, TDD, clean architecture DATA & STREAMING • Kafka / Kafka Streams, Spark, NiFi, Airflow, Glue → Redshift / S3 CLOUD & DELIVERY • AWS (EKS/ECS/Lambda/Redshift), Terraform, Kubernetes, CI/CD The hybrid is the point: I design the API contract, the event schema, and the pipeline as one system — fewer handoffs, fewer integration bugs. Strong on correctness, tests, and observability (ELK). Send a short note about your system and the bottleneck — I'll reply with how I'd approach it and a realistic estimate. SKILLS: Golang, Apache Kafka, Microservices, Apache Spark, Airflow, gRPC, REST API, AWS, Kubernetes, ETL Pipeline, Terraform, Docker, Python, Scala, Redshift