Stride is a digital media management platform that helps music industry professionals organize and maintain detailed information about musicians, albums, and associated metadata. Their internal application centralizes artist-related data, streamlining operations for cataloging, updates, and reporting across music portfolios.
Fully Automated Schema & Data Migration Pipeline
Foreign Key–Aware Loading with Insert Ordering
Deduplication Logic for Incremental Remigrations
Data Engineers
Python Developers
Database Migration Specialists
DevOps Support Engineers
Contract on hourly basis
Dozens of foreign-key–linked tables introduced risk of referential mismatches during migration.
Client required re-runnable, partial migrations without duplicate insertions or data corruption.
The project began with schema introspection from the SQL Server .bak backup, reconstructing PostgreSQL-compatible DDL using Python scripts. Pandas DataFrames were used to extract, inspect, and transform table data for loading.A two-phase migration plan was adopted—first loading dimension tables, capturing their new primary keys, and then loading dependent fact tables by resolving foreign keys dynamically. The system included row-level comparison logic to ensure that any remigrations were idempotent and skipped already-migrated records.
Robust, Incremental Migration Framework for Legacy SQL Server Data

