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Multi-Database Consolidation

Migration of 20+ separate databases into a unified PostgreSQL architecture. Zero-downtime cutover with data validation, schema redesign, and rollback strategy.

Client: Enterprise Client April 2023
Multi-Database Consolidation platform screenshot — Migration of 20+ separate databases into a unified PostgreSQL architecture

The Problem

Over years of organic growth, the client’s platform had accumulated 20+ separate databases: different schemas, inconsistent naming conventions, duplicated data, and no unified way to query across the system. Feature development was slowing down because every change required touching multiple databases, and reporting was a manual exercise in stitching data together.

The Approach

I designed a consolidation strategy that migrated everything into a unified PostgreSQL architecture, schema by schema, with the old and new systems running in parallel until the cutover. No big-bang rewrite. Each database was migrated independently, validated, and switched over with a rollback plan ready.

How it worked

  • Schema audit: mapped every existing database, identified overlaps, inconsistencies, and dead data
  • Target schema design: unified PostgreSQL schema with proper normalization, indexes, and foreign key relationships
  • Migration scripts: Laravel migration and seeder pipeline transforming data from old schemas to new
  • Parallel operation: old and new databases running simultaneously during the transition period
  • Validation layer: automated data integrity checks comparing source and target after each migration
  • Zero-downtime cutover: application-level switching with rollback capability at every stage

What I Delivered

  • Complete schema redesign consolidating 20+ databases into a unified PostgreSQL architecture
  • Migration pipeline with automated validation and rollback capability
  • Zero data loss across the entire consolidation
  • Documentation of the new schema and migration runbooks

Results

  • 20+ databases consolidated into a single, well-structured PostgreSQL instance
  • Query performance improved significantly with proper indexing and normalization
  • Feature development velocity increased, and changes no longer required touching multiple databases
  • Reporting became straightforward with unified data access

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