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Shahriyar Khan

Database Development

Relational schema and data-model work designed around real business rules, reporting, filtering, and future change.

Applications that need a clear relational model, migrations, filtering, reporting, and reliable data-backed operations.

Helps: Products that need a reliable relational data model, migration strategy, and query layer behind business workflows.

  • PostgreSQL
  • Django/DRF
  • Redis
  • Python
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Relational database schema architecture and query performance monitoring

The problem this solves

The database should reflect the domain clearly enough that permissions, reporting, exports, and future changes remain understandable.

What's included

  • Schema and relationship design
  • PostgreSQL data modeling
  • Migrations
  • Filtering and reporting queries
  • Data-backed exports and operations

How it's built

Schema design starts from domain relationships and access rules, then supports API queries, reporting, exports, migrations, and background workflows.

What's needed to begin

  • The core entities and their relationships
  • Expected reporting, filtering, and export needs
  • Existing data sources or migration requirements

Engagement process

  1. 01Discovery
  2. 02Scope
  3. 03Architecture
  4. 04Build
  5. 05Test
  6. 06Launch
  7. 07Handover