Beyond the Happy Path: Building Resilient Serverless Data Pipelines

This architecture directly addresses real-world data ingestion challenges—malformed files, duplicate deliveries, schema drift, and partial failures—that straightforward ETL designs often miss. By uniting AWS Lambda, Step Functions, and Glue with explicit validation, quality gates, and replayability, it creates a scalable, observable pattern that cuts operational overhead. Organizations adopting this approach gain a cost-effective, event-driven foundation for data lakes that gracefully handles edge cases and real-world messiness.