A walkthrough of building a serverless social media ingestion and analytics pipeline on AWS. The architecture uses AWS Fargate for data fetching, Amazon SQS for buffering, Lambda and Kinesis Data Firehose for processing, S3 as a data lake, Glue and Athena for querying, and QuickSight for visualization. Deployment steps cover IAM setup, infrastructure automation with CloudFormation or Terraform, and monitoring with CloudWatch and X-Ray. Future enhancements include sentiment enrichment with Amazon Comprehend, real-time alerts via SNS, advanced analytics with Redshift, and ML-driven insights using SageMaker.