At Datadog, I own Infrastructure Monitoring customer cases from investigation through verified resolution, supporting customers across Kubernetes, AWS, and Azure. I resolve Agent configuration, permissions, and missing or delayed data issues while meeting SLA targets.
I also troubleshoot Database Monitoring setup and query metrics, using logs and diagnostic data to identify root causes. I escalate product defects to Engineering with reproducible evidence and document reusable runbooks.
At Model N, I delivered L2/L3 support for an enterprise SaaS revenue management platform and maintained 99% SLA compliance. I diagnosed production issues involving pricing, rebate calculations, data synchronization, and integrations using SQL, backend data validation, and log analysis.
I partnered with Engineering, QA, and Product on root-cause analysis and production stability improvements. I also built a Python-based face detection and analysis application using OpenCV and MediaPipe, and supported client SSO onboarding with reusable authentication runbooks.
