Shahbaz Raza

– Led migration of legacy Django monolith to containerized microservices on AWS EKS; set up Kubernetes deployments with rolling updates and autoscaling to handle traffic spikes without downtime. – Built and standardized CI/CD pipelines covering image builds, automated test gates, security scans, and cluster deploys-reduced downtime 30% and gave the team reproducible, auditable releases. – Shipped a reusable Python SDK (hexagonal architecture) for AWS service integrations, eliminating 35% duplicate code and cutting cross-team onboarding time significantly. – Built FastAPI microservices (REST + WebSockets, async I/O, Pydantic validation) for concurrent, data-integrity-sensitive platform workloads handling high request volume. – Designed and operated high-throughput data pipelines with checkpointing and conditional routing, processing 10K+ file batches per run with reliable error recovery. – Instrumented services with structured logging, alerting, and performance dashboards, enabling fast incident triage and SLA compliance across production environments.

– Delivered FastAPI microservices powering product-facing and analytics APIs, cutting latency 800ms → 320ms and scaling to 10M+ daily events with sub-1.5s responses at peak load. – Managed Docker-based service packaging and deployment workflows, contributing to containerization standards and environment parity between staging and production. – Owned PostgreSQL-backed product features: schema design, JSONB indexing, CTE-based batch reporting, and query tuning for predictable SLAs on catalog-scale datasets. – Built a documentation ingestion and RAG retrieval pipeline (Pinecone, LangChain/LlamaIndex) to power faster internal and customer-facing search-reduced support resolution time noticeably.

– Developed and maintained Python backend services for business and operational data flows, focusing on reliability, error handling, and clear failure modes. – Optimized PostgreSQL queries (JSONB indexes, CTEs) dropping query time from 1.2s to 250ms; improved batch processing to handle 50K+ records in ~25s via FastAPI async patterns. – Containerized existing services with Docker, improving environment consistency and laying groundwork for CI-based deployment practices adopted by the team.