Rishabh Goyal

About

Python backend engineer focused on real-time e-commerce analytics systems, building FastAPI + Kafka microservices with strong idempotent processing patterns (Postgres upserts, manual offsets, Redis caching). Has hands-on Kubernetes (EKS) and GitOps delivery with Argo CD/GitHub Actions, plus experience migrating containerized services from on-prem VMs to AWS using Terraform and blue-green cutovers.

Experience

Education

Key Strengths

• Owned end-to-end backend architecture and API contract for real-time e-commerce analytics microservices
• Kafka streaming expertise: handled duplicates/out-of-order events with idempotency layer (Postgres event IDs + upserts) and manual offset management
• Performance optimization: reduced analytics API latency ~40% via SQL tuning, indexing, and partitioning
• Reliability under load: Redis cache for dedupe checks (reported >60% reduction in repeated lookups) plus retries with exponential backoff
• Strong observability and testing: consumer lag + end-to-end latency tracking, Prometheus/Grafana monitoring, Locust/k6 load testing
• Production-grade Kubernetes + GitOps delivery: EKS deployments with Argo CD, safe rollbacks, zero-downtime releases
• Multi-environment CI/CD controls: Kustomize overlays, approval gates, manual sync waves for production
• Planned and executed on-prem to AWS EKS migration using Terraform and blue-green cutover with dry runs