FinOps Cloud Intelligence

FinOps Cloud Intelligence

GCPLookerFinOpsCloud AnalyticsPython

Built an enterprise financial intelligence platform with BigQuery as the central data warehouse, ingesting GCP Billing Export at full resource granularity across an organization of 200+ GCP projects. The resource-level billing table (gcp_billing_export_resource_v1) provides per-VM, per-disk, per-bucket cost attribution with labels for precise departmental chargeback.

Looker dashboards surface actionable cost intelligence for platform directors: detailed usage breakdowns by team, service, and environment; resource efficiency scores; and anomaly detection for unexpected spend spikes. The analytics layer incorporates ML models trained on historical consumption data to generate spend forecasts and resource allocation projections — enabling data-driven decisions at the executive level.

Complete skills & tools used
BigQueryLookerLooker StudioFinOpsGCP Billing Export (Resource-Level)Cloud AnalyticsPythonDataflowML ForecastingCost AttributionDepartmental ChargebackResource OptimizationExecutive Dashboarding200+ GCP ProjectsData Pipeline Engineering
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