Varun Dwivedi is an Enterprise Data & AI Architect and GCP & AI Practice Lead at StatusNeo, where he owns the Google Cloud data platform (Incorta, BigQuery, Dataform, Composer, Looker) for a global enterprise software company and leads a ~40-person engineering team. He designed and shipped a read-only multi-agent system (Cloud Run, Gemini, MCP) that is live in production, running 61 health checks across seven platform layers every morning over 700K+ BigQuery queries a day and filing Jira tickets for critical findings at about $0.01 per run.

Varun Dwivedi is an Enterprise Data & AI Architect and GCP & AI Practice Lead at StatusNeo, where he owns the Google Cloud data platform (Incorta, BigQuery, Dataform, Composer, Looker) for a global enterprise software company and leads a ~40-person engineering team. He designed and shipped a read-only multi-agent system (Cloud Run, Gemini, MCP) that is live in production, running 61 health checks across seven platform layers every morning over 700K+ BigQuery queries a day and filing Jira tickets for critical findings at about $0.01 per run. He talks candidly about the numbers and the failure modes: false positives, confident-but-wrong root causes, and why read-only was the only way it shipped. He writes the Looker Spotlight newsletter (700+ subscribers) on semantic layers, Looker performance and AI on governed data. 15+ years in BI and analytics engineering across Birlasoft, Better, Policybazaar and IBM. Based in Delhi NCR, India.