Azure/Azure-Sentinel
Jun 2025 – Jun 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationCloud FunctionsCloud IntegrationCode CleanupData ConnectorsData Engineering
Prajval UM
PROFILE
Prajval Um
Developed a Duo Security data connector for Azure Sentinel within the Azure/Azure-Sentinel repository, focusing on ingesting Activity and Telephony logs through v2 endpoints. The work emphasized robust API integration and cloud function design, consolidating log ingestion while enhancing pagination, error handling, and logging for improved reliability. Refactoring efforts targeted code readability and maintainability, with dependency updates to reduce technical debt. Python served as the primary language, leveraging data engineering and cloud integration skills to ensure accurate and scalable telemetry support. Packaging artifacts were updated to streamline deployment, resulting in a connector positioned for broader Duo data coverage and operational resilience.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
1
Lines of code
775
Activity Months1
Your Network
196 peopleSame Organization
@duosecurity.com2
Shared Repositories
194
Work History
June 2025
8 Commits • 1 Features
Jun 1, 2025In 2025-06, Azure/Azure-Sentinel delivered a robust Duo Security data connector for Azure Sentinel focusing on Activity and Telephony log ingestion via v2 endpoints. The initiative consolidated ingestion, improved pagination, error handling, and logging, and included refactors for readability, minor cleanups, and a dependency update. These changes enhance data fidelity, reliability, and maintainability, positioning the connector for scale and broader Duo telemetry support.
8 Commits • 1 Features
Jun 1, 2025In 2025-06, Azure/Azure-Sentinel delivered a robust Duo Security data connector for Azure Sentinel focusing on Activity and Telephony log ingestion via v2 endpoints. The initiative consolidated ingestion, improved pagination, error handling, and logging, and included refactors for readability, minor cleanups, and a dependency update. These changes enhance data fidelity, reliability, and maintainability, positioning the connector for scale and broader Duo telemetry support.
June 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture75.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationCloud FunctionsCloud IntegrationCode CleanupData ConnectorsData EngineeringDependency ManagementError HandlingLoggingPythonPython Development
Repositories Contributed To
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