Project Wormwood
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.
Project Wormwood represents a significant advancement in engineering data management through its innovative entity consolidation engine and standardized adapters. By combining enterprise-grade data processing with intuitive visualization dashboards, we've created a platform that delivers exceptional data consistency while significantly reducing integration complexity. The concept has been validated across Oil & Gas, Pharmaceutical, Construction, and Financial Services industries.
Key Technologies
Industries Validated
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