
Developed and delivered a Google Cloud Platform Cloud Run data connector for Microsoft Sentinel within the Azure/Azure-Sentinel repository, enabling ingestion of GCP Cloud Run logs for enhanced cross-cloud observability. Leveraged Infrastructure as Code practices using Terraform to provision GCP Pub/Sub topics and subscriptions, and ARM templates to configure the data connector in Sentinel. Focused on security hardening by updating JSON templates to use securestring for sensitive parameters, reducing risk during onboarding of new data sources. Demonstrated expertise in cloud security, SIEM integration, and DevOps, with an emphasis on scalable, secure data connector configuration and infrastructure automation.
May 2025 monthly summary for Azure/Azure-Sentinel: Delivered a Google Cloud Platform Cloud Run data connector for Microsoft Sentinel, enabling ingestion of GCP Cloud Run logs. Implemented IaC for GCP resources (Terraform for Pub/Sub topics/subscriptions) and ARM templates for configuring the data connector. Implemented security hardening by switching sensitive parameters in JSON templates from string to securestring. No major bugs identified or fixed in this period; focus remained on delivery and security hardening. These efforts extend cross-cloud observability and reduce security risk while accelerating onboarding of new data sources.
May 2025 monthly summary for Azure/Azure-Sentinel: Delivered a Google Cloud Platform Cloud Run data connector for Microsoft Sentinel, enabling ingestion of GCP Cloud Run logs. Implemented IaC for GCP resources (Terraform for Pub/Sub topics/subscriptions) and ARM templates for configuring the data connector. Implemented security hardening by switching sensitive parameters in JSON templates from string to securestring. No major bugs identified or fixed in this period; focus remained on delivery and security hardening. These efforts extend cross-cloud observability and reduce security risk while accelerating onboarding of new data sources.

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