Phase 1
Audit
An inventory of what runs today — pipelines, dashboards, the spreadsheet that mysteriously powers a board metric. We document the truth first.
Every model, dashboard, and agent rides on data that has to land on time, in the right shape, with someone accountable for it. Data engineering is the discipline of making that boring — predictable enough that the people upstairs can stop checking whether the numbers loaded.
We design lakehouses on the platform you already pay for — Databricks, Snowflake, or BigQuery — wire in orchestration with Airflow or Dagster, and use dbt where it earns its keep. Every pipeline ships with tests, lineage, and an on-call runbook. No bespoke shell scripts hiding on someone's laptop.
A short list. Everything else is shaped to the workloads you actually run.
Kafka, Kinesis, CDC from your transactional stores — landing into bronze, refined into silver, served from gold. Idempotent, replayable, no duplicates.
Schema, freshness, uniqueness, and business-rule checks. Failures stop the pipeline before they poison a dashboard.
Run history, freshness SLAs, cost per table, and a single pane your platform team checks first thing Monday.
Where does this metric come from? Trace it back through dbt, through the warehouse, to the source row. Auditors stop asking.
Unity Catalog, Snowflake roles, row- and column-level security. PII tagged at ingest, masked at serve, logged on every read.
Online and offline parity, point-in-time correctness, and reusable features that stop every modeler from rewriting the same joins.
We are not interested in being your forever vendor. The platform should outlive the engagement.
An inventory of what runs today — pipelines, dashboards, the spreadsheet that mysteriously powers a board metric. We document the truth first.
A target architecture sized to your actual workloads and budget. Vendor choices made on cost-per-query, not on which logo looks good in a deck.
Infrastructure as code, dbt models, orchestrated jobs, monitoring, and the migration plan that moves traffic over a workload at a time.
Runbooks, on-call rotations transferred, and a written set of decisions and trade-offs — so the next engineer in the seat is not flying blind.
An hour of architecture review with a principal usually surfaces the two changes that fix most of it. Free.