Namrata Shah is a Cloud Engineer specializing in Data and AI with 10 years of hands-on experience building production cloud infrastructure and developer workflows at Google. She has designed and deployed end-to-end Google Cloud environments, led workshops on Terraform, Cloud Build CI/CD, and permissions mapping, and authored UX and technical guides that accelerated developer onboarding. Namrata combines systems-level troubleshooting (GKE incident resolution and automation in Python and Go) with data-focused solutions like BigQuery export pipelines and Vertex AI notebooks for chat summarization. She holds multiple Google and HashiCorp certifications and has a track record of eliminating toil—e.g., automating taxonomy tagging to save 100+ hours annually. Based in the New York City area and grounded in a Technology & Information Management degree with a CS minor from UC Santa Cruz, she’s as comfortable mentoring peers as she is shipping infrastructure code. A less obvious strength is her ability to translate customer needs into repeatable engineering patterns and documentation that scale across teams.
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