Wave 14 · Data, Reporting & FinOps Operations BigQuery / FinOps / query-cost proof Synthetic project, reservation, and workload exports

BigQuery query-cost posture, slot pressure, and optimization packets that stay operator-readable.

This control plane turns raw BigQuery usage exports into one FinOps surface: bytes-scanned spikes, slot pressure, partition misses, reservation drift, attribution gaps, telemetry issues, and the remediation packets needed before forecast, chargeback, or optimization windows slip.

Overview Query Lane Cost Risks Optimization Posture Verification Docs

Commercial Front Door

BigQuery query-cost governance and workload optimization operations for platform, finance, and analytics teams.
Audit-safe visibility into bytes-scanned spikes, reservation pressure, telemetry gaps, and attribution hygiene without exposing live credentials.

Proof Layer

Offline analyzer + CLI + dashboard surface.
This repo includes a reusable analyzer that reads query-cost snapshots and drift exports and turns them into severity, owner, and optimization packets.

Why it matters

Recruiters looking for BigQuery / FinOps / data platform should see real query-cost work: scan containment, slot governance, attribution hygiene, and export continuity.

Docs

routes · cli · api

routes

Public control surface

/, /query-lane, /cost-risks, /optimization-posture, /verification, /docs

api

Structured payloads

/api/dashboard/summary, /api/query-lane, /api/cost-risks, /api/optimization-posture, /api/verification, /api/sample

cli

Offline BigQuery cost analysis

npx bigquery-query-cost-watch fixtures/bigquery-query-healthy.json --format summary renders the same posture the dashboard exposes.