Production-grade data validation, conversion, normalization, profiling, and prediction platform built for reliable data systems.
Running in production on AWS ECS Fargate using event-driven architecture.
DataSentinel operates as a modular cloud platform where each service independently validates, transforms, and monitors data pipelines while maintaining auditability and scale reliability.
DataSentinel is designed around production reliability principles used in modern distributed systems. Every module operates independently while maintaining auditability and correctness across the pipeline.
Services react to data events instead of scheduled scripts, enabling scalable and decoupled workflows.
Every pipeline step can safely re-run without corrupting data or producing inconsistent results.
Validation occurs before transformation, preventing downstream analytical errors.
Health checks, reports, and audit trails provide full visibility into pipeline behavior.
Validation, conversion, profiling, and prediction operate as independent compute units.
Infrastructure decisions prioritize reliability, scaling, and maintainability over quick prototypes.