Project Wormwood
Data Management
An optimized Python-based universal data warehouse platform designed to consolidate, transform, and manage engineering data from diverse source systems. Built on a flexible object-oriented architecture with comprehensive accessibility compliance.
The entity consolidation engine and standardized adapters are what let one platform absorb Excel, Access, SQL Server, Oracle, and API sources without a bespoke integration for each - validated across Oil & Gas, Pharmaceutical, Construction, and Financial Services, the four industries in the badges above.
Key Technologies
Industries Validated
Oil & Gas
Pharmaceutical
Construction
Financial Services
Key Features
- Flexible entity model with cross-source consolidation
- Universal data warehouse with diverse ingestion sources (Excel, Access, SQL Server, Oracle, APIs)
- Rule-based data transformation with auditable history
- WCAG 2.1 compliant interfaces with 91% accessibility coverage
- Comprehensive testing framework with 93% code coverage
Results & Impact
The implementation of Project Wormwood resulted in:
- 40% reduction in data integration effort compared to traditional ETL systems
- 50% increase in computational efficiency through optimized consolidation
- Simplified management through unified infrastructure and RESTful API
- Flexible scaling of data processing resources based on workload demands