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
During June 2025, Pum developed a Duo Security data connector for the Azure/Azure-Sentinel repository, focusing on ingesting Activity and Telephony logs through v2 endpoints. The work involved consolidating ingestion logic, enhancing pagination, and implementing robust error handling and logging using Python. Pum refactored the ingestion pipeline for improved readability and maintainability, updated dependencies to address technical debt, and streamlined deployment by updating packaging artifacts. The connector’s design improved data fidelity and reliability, supporting future scalability and broader Duo telemetry integration. This project demonstrated depth in API integration, cloud functions, and data engineering, resulting in a maintainable and extensible solution.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
1
Lines of code
775
Activity Months1
Your Network
192 peopleSame Organization
@duosecurity.com2
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
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