The single individual who owns your platform, start to finish.
One engineer. Whole platform.
No bench. No handoffs. No translation loss between the person who understands your data and the person who ships it. If your operation runs on an entrenched vertical system of record — in real estate, construction, retail, or healthcare — with no one in-house to make sense of what it throws off, one senior engineer, accountable for the whole thing.
- the single individual, considered apart from any collective.
- (capitalized) a data and platform practice run by one senior engineer, end to end.
- the full stack beneath a decision — ingestion, warehouse, transformation, governance, and the dashboard someone actually reads.
- a verb tense for an action seen as a single, completed whole — not a process, not a duration. The thing happened; it is finished.
- (the Aorist Method) a fixed-scope engagement with a defined start and a defined end.
Most consulting is imperfect tense.
Ongoing, unbounded, never quite finished — a retainer that quietly becomes a fixture on the budget. The Aorist Method is the opposite: the engagement is scoped in the discovery call, built in six to eight weeks, and closed. Nothing lingers.
That's not a pace trick. It's the same discipline that lets one engineer, rather than a bench of them, carry a platform from warehouse to dashboard without losing anything in the handoff — because there is no handoff.
Not a diagram of the process. The process — four sources, reconciled by hand today, collapsed into one pipeline.
6–8 wk
Every dashboard number traces back to a single, finished event — not a spreadsheet someone hopes is current.
The old warehouse was retired the week the new one went live.
The board stopped asking for the numbers and started reading them.
Nobody noticed the pipeline. It just kept arriving on time.
A full Snowflake account — warehouses, databases, and a two-tier role hierarchy — defined entirely in Terraform. Every grant lives in version control, and every change ships through a pull request with a visible plan before it touches production. Onboarding a new analyst becomes one line of code instead of a hunt through scattered manual grants.
View repository →An end-to-end medallion lakehouse — bronze, silver, gold — with incremental ingestion, 24 automated data-quality tests, and Unity Catalog governance. A Databricks Asset Bundle orchestrates the full pipeline as a scheduled job, and every pull request is validated in CI before it merges.
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