Building a 254-Table BigQuery Schema in 72 Hours
Executive Summary: Scale at Speed
In 72 hours, we designed, built, and deployed a 254-table BigQuery schema capable of ingesting data from 226+ RSS feeds, YouTube channels, Reddit communities, and GitHub repositories. This system processes over 10,000 records per second while maintaining data integrity and enabling real-time analytics.
Project Scope:
- Timeline: 72 hours from conception to production
- Scale: 254 unique table schemas
- Data Sources: 226+ RSS feeds, YouTube API, Reddit API, GitHub API
- Throughput: 10,000+ records/second peak processing
- Architecture: Serverless, auto-scaling, cost-optimized
This isn’t just a technical achievement - it’s a demonstration of how modern cloud-native architecture enables rapid deployment of enterprise-scale data systems.