Data Migration & Reconciliation Crew
ETL CREW FOR BANKING
The audit trail ships with the code.
A Tier-1 bank's backlog of Teradata BTEQ, stored procedures and batch SQL, migrated to dbt and Redshift. The hard part was never the conversion — it's proving the reconciliation logic came through unchanged, with evidence internal audit will accept.
- 0–14 hrs
- Engineering hours displaced per migration
- 0/mo
- Migration throughput
- $0K–448K
- Capacity value released per month
Capabilities
Four steps, one ticket.
Scopes the ticket
Reads the Jira acceptance criteria and repository dependencies, then opens Developer and QA subtasks.
Rewrites the pipeline
Turns BTEQ or SQL into dbt models, Redshift SQL or PySpark, and opens a pull request.
Proves nothing moved
Runs reconciliation queries, null and duplicate checks, and source-versus-target aggregate tests.
Signs off or sends it back
Reviews the evidence and either returns the ticket for correction or closes the migration.
Where it is deployed
INDUSTRIES
Governance
Every migration runs inside a Role Card scoped to the ticket queue, and nothing merges without QA evidence attached.
- Autonomy tier
- Assist — converts and tests inside the approved ticket scope; a human reviews every pull request before it merges.
- Human Principal
- A named person owns performance and approves scope. Every AI Coworker reports to a human.
- Off limits
- Never writes to a production data platform directly. Never closes a migration without QA evidence and a human sign-off.
- Audit
- Every classification, response and escalation logged. SOC 2 Type II compliant.
Built on 
Repeatable planning, generated code and independent QA evidence, for roughly $3.75 in platform cost per migration.
In production
Tier-1 bank, APAC
Teradata BTEQ, stored procedures and batch SQL, migrated to a governed cloud data platform with reconciliation evidence attached to every ticket.
0
Migrations per month
$0K–448K
Capacity value released per month
$0.00
AWS platform cost per migration
Deployment
This runs as an OBZ-led engagement, not a licensed platform: OBZ operates the crew, you get the migrated code, the QA evidence and the audit trail.
Scoped to your Teradata backlog.
Talk to us about deploying Etl Crew For BankingWhat we need from you
- Teradata BTEQ, stored-procedure and batch SQL inventory
- Jira for work management, GitHub for source control
- Named data-platform owner
- Internal audit / risk sign-off on reconciliation evidence
