
Over a three-month period, contributed to the Azure/Azure-Sentinel repository by developing and refining the Veeam App for Microsoft Sentinel, focusing on seamless integration of Veeam backup and recovery events. Leveraging C#, Kusto Query Language (KQL), and Bicep, engineered analytic rules, data connectors, and validation logic to enhance data ingestion, security analytics, and operational reliability. Addressed Coveware API changes, improved dashboard drilldowns, and ensured accurate release management with updated packaging and documentation. Asset management included branding updates and SVG logo refinements. The work emphasized robust data validation, reliable visualizations, and streamlined deployment, supporting proactive monitoring and incident detection in Sentinel.
Oct 2025 monthly summary for Azure/Azure-Sentinel: Delivered end-to-end enhancements to data ingestion, analytics, and release hygiene. Key features include Veeam integration improvements to accommodate Coveware API changes and analytics refinements, with dashboard drilldown fixes. Packaging/Release notes were corrected (author updated to Veeam Software) and a new version zip included. These changes improved data accuracy, reliability of security findings in Azure Sentinel, and artifact traceability, enabling faster investigation and safer deployments.
Oct 2025 monthly summary for Azure/Azure-Sentinel: Delivered end-to-end enhancements to data ingestion, analytics, and release hygiene. Key features include Veeam integration improvements to accommodate Coveware API changes and analytics refinements, with dashboard drilldown fixes. Packaging/Release notes were corrected (author updated to Veeam Software) and a new version zip included. These changes improved data accuracy, reliability of security findings in Azure Sentinel, and artifact traceability, enabling faster investigation and safer deployments.
September 2025 monthly summary for Azure/Azure-Sentinel focusing on delivering business value through data quality, reliable visualizations, and robust validation. Key improvements address data accuracy, operational reliability, and Defender Portal usability across Veeam-related components.
September 2025 monthly summary for Azure/Azure-Sentinel focusing on delivering business value through data quality, reliable visualizations, and robust validation. Key improvements address data accuracy, operational reliability, and Defender Portal usability across Veeam-related components.
Concise monthly summary for 2025-08 focused on business value and technical achievements for the Azure/Azure-Sentinel project. Key features delivered include the initial release of the Veeam App for Microsoft Sentinel with analytic rules and data connectors to ingest Veeam backup/recovery events, enhancements to analytics and data ingestion (new/updated data connectors, improved parsers, and validation), and branding updates (new VeeamLogo.svg and subsequent logo refinements) to ensure a cohesive product experience. Major bugs/fixes addressed include stabilizing PR validations and logo validation, along with data ingestion validation improvements that improve data quality. Overall impact: enables proactive monitoring of Veeam-related events in Sentinel, improves data quality and reliability of detectable incidents, and delivers a polished, brand-consistent app ready for broader customer adoption. Technologies/skills demonstrated: Microsoft Sentinel integration (analytic rules, data connectors, parsers), data ingestion and validation engineering, feature/branching discipline, branding asset management (SVGs).
Concise monthly summary for 2025-08 focused on business value and technical achievements for the Azure/Azure-Sentinel project. Key features delivered include the initial release of the Veeam App for Microsoft Sentinel with analytic rules and data connectors to ingest Veeam backup/recovery events, enhancements to analytics and data ingestion (new/updated data connectors, improved parsers, and validation), and branding updates (new VeeamLogo.svg and subsequent logo refinements) to ensure a cohesive product experience. Major bugs/fixes addressed include stabilizing PR validations and logo validation, along with data ingestion validation improvements that improve data quality. Overall impact: enables proactive monitoring of Veeam-related events in Sentinel, improves data quality and reliability of detectable incidents, and delivers a polished, brand-consistent app ready for broader customer adoption. Technologies/skills demonstrated: Microsoft Sentinel integration (analytic rules, data connectors, parsers), data ingestion and validation engineering, feature/branching discipline, branding asset management (SVGs).

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