Proof of Concept: Automating Regulatory Data Processing
A high-performance parser for Alberta Energy Regulator (AER) ST1 license data, built in Rust. Demonstrates how modern programming approaches can replace error-prone manual workflows and complex legacy scripts with fast, reliable automation.
Traditional regulatory data processing is slow and manual. This parser reduces processing time from hours to minutes while eliminating human error and operational bottlenecks. The patterns apply to any organization processing complex compliance data.
Typical use cases: financial reporting, environmental compliance, energy sector licensing, or any domain where regulatory data processing blocks downstream analytics.
Key Benefits
- Speed: Hours of manual processing reduced to minutes
- Accuracy: Eliminates human error in data extraction and validation
- Scalability: Memory-efficient processing handles large datasets without infrastructure growth
- Integration: Standard CSV output works with existing BI and analytics tools
- Maintainability: Rust's type safety catches errors at compile time, reducing runtime issues
Technical Approach
Built in Rust for performance and reliability. The parser combines async I/O for rapid data fetching with careful error handling and validation. Output is standardized CSV for easy integration. A practical example of how systems-level programming can solve enterprise data problems efficiently.
Core Technologies
- Language: Rust
- Libraries: tokio, reqwest
- Output Format: CSV