Interactive demo - Project 2

Client Migration Pipeline

Reusable onboarding pipeline for mapping, validating, and loading account data without cross-tenant writes.

StackTypeScript, Next.js, SSE

System brief

Challenge: Client exports arrive with different headers and formatting. Manual fixes slow onboarding, and partial imports can leave billing and user records out of sync.
Solution: A reusable import template pauses on ambiguous columns, lets an operator map or leave them out, normalizes every row, checks account-billing-user dependencies, and rejects the full batch when blocking errors remain. Quarantined fields can be remediated and revalidated before commit.
Business impact: The operating model behind this demo supported 3,000+ customer onboardings and reduced implementation timelines by 30% through reusable mapping templates and playbooks.

System design and decisions

Control flow, operational boundaries, and the engineering choices behind a safe cutover.

Control flow

Production data remains untouched until mapping, normalization, and cross-entity validation all pass.

Verify before write

01No production write
Secure intake
Stage the client export inside an isolated tenant boundary.
02Operator decision
Map and normalize
Profile headers, resolve ambiguity, and reuse approved playbooks.
03Full-batch gate
Validate dependencies
Check account, billing, and user records as one connected batch.
04Atomic transaction
Controlled cutover
Commit every verified row together and issue a cutover receipt.

Blocking exception

Quarantine, remediate, revalidate

No partial records are committed. The full source file remains recoverable for an operator-led correction.

Verified batch

Atomic commit and cutover receipt

Every accepted entity is written together, with tenant and result evidence recorded for review.

Decision ledger

Decision / rationale / cost / mitigation

Explicit schema mapping

Unknown columns cannot silently enter the target model.

Cost: Requires an initial operator decision. Mitigation: Approved mappings become reusable client playbooks.

Full-batch transaction

Accounts, billing contacts, and users must stay synchronized.

Cost: One blocking row pauses the entire cutover. Mitigation: The file is quarantined, remediated, and revalidated.

Tenant-scoped boundary

A migration must never affect a neighboring customer.

Cost: Isolation adds credential and deployment complexity. Mitigation: Production writes use credentials restricted to one schema.

Safe public runtime

Visitors can inspect real parsing and control behavior safely.

Cost: The final database transaction is simulated. Mitigation: The UI states the boundary and shows production controls.

Production boundary

The public runtime parses and validates real CSV rows and streams real control decisions. The final database write is simulated. Production deployment would use tenant-scoped credentials and one transaction around the full batch.

Interactive demo

1 Choose a scenario · 2 Run the system · 3 Inspect how it works

Migration control room

Ready for analysis

0 events

Rows analyzed

Fields normalized

Rows committed

What this run proves

Start with the legacy export to map columns, save a playbook, quarantine bad rows, remediate, and review the cutover receipt.