I build CI/CD pipelines in Azure DevOps, provision infrastructure with Terraform, run workloads on Kubernetes (AKS), and lead the team that monitors it all in production.
$ az pipelines run --name release-prod stage build succeeded stage terraform succeeded no drift stage deploy-aks succeeded rolling stage smoke-tests succeeded downtime: 0s alerts: 0 firing
What I built, how, and what changed because of it.
A public site that translates services across AWS, Azure and Google Cloud, so engineers moving between clouds can find the equivalent service, region or term quickly.
Production logging ran on Kibana 8.11.1 and engineers could not see production events as they happened.
Result: real-time monitoring of production events, and written appreciation from the product team.
ElasticsearchLogstashKibanaAzure Event HubReleases across development, staging and production needed to be consistent and repeatable.
Result: 40+ zero-downtime deployments, 99.9% availability, no configuration drift across 3 environments, and about 60% faster builds.
Azure DevOpsTerraformTerragruntAKSOctopus DeployCloud spend had grown with resources nobody was using at full capacity.
Result: approximately $5,000 saved in Azure spend.
Azure MonitorFinOpsRight-sizingAutomated provisioning and deployment of a web application stack (App Service, Storage, Azure SQL) that had been configured by hand in the portal.
Result: one repeatable deployment across dev, test and production.
ARM TemplatesAzure DevOpsAzure CLIEquipment tracking and maintenance logs were kept manually.
Result: 70% less manual effort and 40% faster reporting.
PythonFlaskMySQLTwilioWhere I have worked and what I was responsible for.
The tools I use in production.
Microsoft certified, and certified to teach it.
I'm open to Azure DevOps, Cloud and Platform Engineering roles. Based in Chandigarh, open to relocation and remote.