Tacobell
A multinational QSR company under Yum! Brands, leveraging scalable operational systems to serve millions of customers daily across global outlets.
00
problem
The system needed to reliably transfer very large DynamoDB datasets while maintaining low latency and fault tolerance, but existing processes were not designed to handle high-volume data movement with retries, checkpointing, or failure recovery.
Legacy backend services lacked scalability and required modernization to reduce operational overhead and improve reliability.
Additionally, backend platforms lacked standardized migration workflows, testing enforcement, and operational self-service tooling, slowing developer productivity.
The organization also required a dependable scheduled workflow to repeatedly deliver external data, with proper failure handling and consistency across multiple execution cycles.
solution
Architected a fault-tolerant distributed system transferring 750M+ DynamoDB records, achieving reliable, low-latency delivery at scale, using chunked execution with checkpointing, idempotent writes, and exponential retry/backoff orchestrated via AWS Step Functions and AWS Glue.
Modernized legacy backends into scalable serverless systems, improving reliability and reducing ops overhead, using AWS AppSync, Lambda, DynamoDB, Cognito, and AWS CDK.
Delivered production-grade backend platforms with higher developer velocity, by building MySQL migration layers with Drizzle ORM, enforcing Jest tests, and enabling self-serve ops via Retool.
Built a scheduled, fault-aware workflow running twice daily, ensuring reliable and repeatable external data delivery, by orchestrating DynamoDB exports, AWS Glue transformations, and Lambda-based connectors with robust retry and failure handling.
see also
