PROJECT
EYE
Data Discovery System
A multi-provider data extraction system that discovers, extracts, normalizes, and validates structured data from diverse sources.
- Python
- Multi-provider
- Extraction
- Validation
INTERFACE
The extraction map and Data Manager, showing how discovered sources are traced, normalised and validated.
PROBLEM
Data is scattered across providers with inconsistent formats, access methods, and structures. Manual extraction does not scale and is error-prone.
APPROACH
Build a unified extraction layer that abstracts provider differences, enforces data normalization, and validates output before persistence.
ARCHITECTURE
QUERY
PROVIDERS
DISCOVERY
EXTRACTION
NORMALIZATION
VALIDATION
DATABASE
ENGINEERING DECISIONS
- Provider abstraction layer for extensibility
- Built-in deduplication and validation
- Structured normalization pipeline
- Multi-source parallel extraction
EVIDENCE
- Repository available
- Modular architecture
- Tested extraction flows