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.

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.

Engineering Data Repository Dashboard

Key Technologies

Python Object-Oriented RESTful API PostgreSQL React Accessibility

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