Start with one question
A rising bill, a failing DAG or an architecture decision. Agree the question, evidence and representative workflows before access.
BIGQUERY / GOOGLE CLOUD
Focused review of your BigQuery data platform and selected Composer/Airflow pipelines. Connect cost, reliability and architecture to a practical next step.
Scope, availability and price agreed before work begins.
A rising bill, a failing DAG or an architecture decision. Agree the question, evidence and representative workflows before access.
Review BigQuery jobs and selected Composer/Airflow dependencies, schedules, retries and refresh needs. Connected services are included only where agreed.
Document findings, uncertainty, priorities and the next intervention. Discovery has an agreed hours cap; extensions require approval.
DELIVERABLE SAMPLE / FICTIONAL DATA
IllustrativeAn extract showing how a single-workflow review could be presented. A sample of the format and reasoning, without client results.
A real handoff identifies sources, period, uncertainty, priorities, owners and agreed checks. Contents depend on scope; the review may recommend implementing, investigating further or stopping.
HOW IT WORKS
Start by email. Agree the work. Keep decisions and documentation in your hands.
Share the context in writing. The initial fit check by email is free; a technical conversation can be arranged when useful.
Get scope, deliverables, access, dates, acceptance criteria and the total price. Accept the proposal and pay online through a private link.
Receive documentation of the work and how to validate it. Continue with planned support if useful. Production changes require authorisation, tests and rollback.
LET’S START WITH THE CONTEXT
Tell me what is happening and the outcome you need. My first reply will confirm the fit and a next step, or ask for the details needed to define it.