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Fix the data behind the work.

Confidential enterprise engagement

Updated the data and work steps in stages so the business could keep running.

Technical lead across discovery, domain modelling, migration design, implementation sequencing, and handover.

The system no longer matched the work.

Real operations required allocations and approvals. Existing schema could not represent reality. Systems did not match actual workflows, schema changes were risky, and stakeholders conflicted.

Rebuild around how the work really runs.

Designed the future schema. Designed migration steps. Shipped in phases so operations continued uninterrupted. Aligned UI, schema, and user workflow throughout the transition.

Safer change. Clearer ownership.

The system matched reality and changes became safer. Operations became more consistent, with a clearer foundation for continued product development.

What I built.

Domain discovery

Turned undocumented operating knowledge into explicit objects, states, rules, permissions, and ownership.

Future-state architecture

Designed the target data model and application boundaries around the real workflow rather than the legacy implementation.

Phased migration

Sequenced schema, application, and workflow changes so live operations could continue throughout the transition.

Operational handover

Documented the system and decision model so the internal team could safely extend it after delivery.

What keeps it standing after launch.

  • Domain-led architecture
  • Explicit state transitions
  • Backward-compatible migration
  • Permission-aware workflows
  • Operational observability
  • Team documentation and handover

Got something like this that's stuck?

Walk me through it in thirty minutes. You'll get a one-page scope in two working days, or an honest no.

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Modh

I build with your team. Your team can take it forward.

Hands-on help from Imran Gardezi to build products, fix software, and put AI to work.

info@modh.ca
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