DataDog/dd-sensitive-data-scanner
Mar 2025 – Dec 2025
2 Months active
Languages Used
Rust
Technical Skills
Backend DevelopmentChecksum AlgorithmsData ValidationRustbackend developmentRust programming
Alexandre Fouchs
PROFILE
Alexandre Fouchs
Contributed to DataDog/dd-sensitive-data-scanner by developing and extending backend validation features focused on sensitive data integrity. Built modular checksum validation for national and financial identifiers, including Polish PESEL, ABA routing numbers, and several European PII formats, using Rust and robust software testing practices. Integrated new checksum modules into the existing validation framework, enabling accurate detection and reducing false negatives for compliance-critical data. Enhanced the validator’s extensibility by exposing VerhoeffChecksum as a standalone component and broadening coverage to US NPI and DEA numbers. Emphasized maintainability and correctness through comprehensive unit tests, supporting future expansion and improved risk detection capabilities.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
822
Activity Months2
Your Network
934 peopleWork History
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025 – DataDog/dd-sensitive-data-scanner: Delivered expanded data integrity validation by adding checksum validation across multiple identifiers (PII rules, US NPI/DEA) and Verhoeff support, with comprehensive tests. This strengthens data reliability, regulatory compliance, and reduces manual validation time. Key achievements include new checksums for four PII rules and exposure of VerhoeffChecksum as a standalone validator; tests validate correctness and robustness of the data handling.
3 Commits • 1 Features
Dec 1, 2025December 2025 – DataDog/dd-sensitive-data-scanner: Delivered expanded data integrity validation by adding checksum validation across multiple identifiers (PII rules, US NPI/DEA) and Verhoeff support, with comprehensive tests. This strengthens data reliability, regulatory compliance, and reduces manual validation time. Key achievements include new checksums for four PII rules and exposure of VerhoeffChecksum as a standalone validator; tests validate correctness and robustness of the data handling.
December 2025
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for DataDog/dd-sensitive-data-scanner: Delivered two new validation features that expand sensitive data coverage and strengthen risk detection. Implemented Polish National ID (PESEL) validation and ABA routing number validation, including dedicated checksum modules, integration into existing validators, and unit test suites. These updates enhance accuracy in scanning financial and national identifiers, reduce false negatives, and improve compliance readiness. The work demonstrates a modular, testable approach enabling easier extension to additional data types in future sprints.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for DataDog/dd-sensitive-data-scanner: Delivered two new validation features that expand sensitive data coverage and strengthen risk detection. Implemented Polish National ID (PESEL) validation and ABA routing number validation, including dedicated checksum modules, integration into existing validators, and unit test suites. These updates enhance accuracy in scanning financial and national identifiers, reduce false negatives, and improve compliance readiness. The work demonstrates a modular, testable approach enabling easier extension to additional data types in future sprints.
Activity
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Quality Metrics
Correctness100.0%
Maintainability92.0%
Architecture92.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Rust
Technical Skills
Backend DevelopmentChecksum AlgorithmsData ValidationRustRust programmingbackend developmentdata validationsoftware testing
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