CNBC Awards Campaign
Backend architecture for high-traffic campaign events.
Backend Developer | 2024 - Present
Portfolio overview
Engineered backend for CNBC Awards campaign pages with reusable data services, predictable publishing operations, and resilient read performance during audience surges.
CNBC Awards involved multiple campaign phases, each with different content priorities and deadlines, requiring flexible but controlled backend behavior.
I built reusable modules for content retrieval, campaign state handling, and section-level rendering payloads.
To avoid repeated expensive reads, I applied Redis caching on high-frequency endpoints and tuned invalidation to match editorial updates.
This setup allowed faster iteration during campaign changes while keeping page responses stable under rising concurrent access.
Key impact
- Reduced publishing friction by standardizing admin-to-page data flow for award campaign content.
- Lowered repeat query overhead on high-traffic sections with cache-aware service design.
- Increased delivery consistency across campaign phases by using shared backend building blocks.
Technologies used
- PHP
- Phalcon
- PostgreSQL
- Redis
- Nginx