How to Build a Scalable Serverless Social Media Ingestion & Analytics Pipeline on AWS

Introduction In today’s digital-first world, the ability to tap into the real-time pulse of social media is a business superpower. To achieve this, companies need to process a constant stream of unstructured content to track brand sentiment, measure campaign impact, and get ahead of emerging trends. However, the challenge isn’t just getting the data. More importantly, it lies in building a system that can handle the volume and velocity without breaking the bank or requiring a dedicated operations team. In this post, we explain how to build a scalable, cost-efficient, and serverless data pipeline on AWS to ingest, process, and visualize social media data. Ultimately, this architecture is designed to turn chaotic social chatter into clear, actionable insights. The Goal: Real-Time Social Media Intelligence To begin with, our objective is to create a fully automated system that can: Track Brand Health : Instantly see what customers and critics are saying about your brand across platforms l