Production Database Migration and Audit

This project involved auditing, repairing, and migrating production databases for multiple live SaaS applications used by active customers and internal teams.

The systems had accumulated schema inconsistencies, missing relationships, corrupted records, and environment mismatches between development and production databases. My responsibility was to safely stabilize the infrastructure, recover missing data, and ensure reliable long-term database integrity — all while minimizing downtime and avoiding disruption to live users.

The work required careful planning, production-safe migrations, and detailed validation across several applications.

Home services marketplace platform connecting users with service providers.

Expense tracking and retail operations management tool.

Visual campaign planning and roadmap management platform.

Production and development databases had diverged significantly

Several relationships and references were broken

Missing records caused application instability

Existing migrations were incomplete or inconsistent

Live systems required minimal downtime during fixes

Data integrity had to be preserved throughout the migration process

Audited database schemas, relationships, and migration history

Identified inconsistencies between development and production environments

Repaired broken foreign key relationships and invalid records

Restored missing production data safely

Migrated and synchronized data across environments

Verified application stability after deployment

Reduced future migration risks through cleaner schema alignment

PostgreSQL

Supabase

SQL

TypeScript

Node.js

Production migration workflows

Database synchronization tooling

Production database recovery

Schema repair and normalization

Data migration

Environment synchronization

Production-safe deployment strategy

Data integrity verification

Zero-downtime mindset

Successfully stabilized 3 production systems

Restored missing and corrupted records

Eliminated schema inconsistencies across environments

Improved long-term maintainability

Reduced operational risk for future deployments

Ensured reliable functionality for active users and teams

This project highlights real-world experience handling production-critical systems where reliability, accuracy, and data safety are essential.

Rather than working in isolated development environments, the work involved live applications with active users, requiring careful execution, validation, and migration planning to avoid downtime or data loss.

It demonstrates strong experience with:

Production debugging

Database recovery

Migration strategy

Backend system reliability

Operational problem-solving