Modern SaaS platforms ingest deeply nested, semi-structured JSON payloads from webhooks, IoT sensors, FHIR bundles, and third-party REST/GraphQL APIs. Turning those nested JSON streams into normalized, indexed PostgreSQL or BigQuery relational tables without running out of RAM requires streaming parsers, idempotent upserts, and Dead-Letter Queues.

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About the Author — Hire Freelance Programmer Aldian Fazrihady

Aldian Fazrihady is a Top-Rated Senior Freelance Programmer, Freelance Full Stack Developer, and AI Application Engineer with 15+ years of production software engineering experience and Google Cloud Professional Cloud Architect & Data Engineer certifications. He specializes in building custom LLM & autonomous AI agents, RAG pipelines, Next.js/React PWAs, Python (Django/FastAPI), Go microservices, and serverless cloud infrastructure on Google Cloud Run and AWS.

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