How I built a data quality API that runs at the edge in milliseconds

DataScreenIQ is a lightweight data validation tool designed to be used at the edge of your data pipeline, specifically before data ingestion into your database or warehouse. It provides real-time feedback on the quality and consistency of incoming data by evaluating it against predefined rules and baselines.

Key Features

1. Real-Time Validation:

   • DataScreenIQ evaluates raw data payloads (CSV, JSON, Excel files) in real-time as they are ingested.
   • The tool computes statistical metrics such as null rates, type distributions, and schema hashes to ensure data consistency.

2. Edge Computing:

   • Runs on Cloudflare Workers, which provides low-latency processing (30-50ms end-to-end latency).
   • Data never touches persistent storage; only aggregated statistics are stored.
   • Scalable to zero without configuration, making it cost-effective and efficient.

3. API Integration:

   • Provides a simple API for integrating with data pipelines.
   • Supports both synchronous and asynchronous calls (via webhooks).

4. SDK Support:

   • Python SDK available for easy integration into existing codebases.
   • Direct support for CSV, Excel, JSON, and XML files.

5. **Alerting

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