Phoenix - Your AI AssistantDatabase Migration — Legacy Schema to Modern Relational Database
Delivery in
4 days
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What you get with this Offer
I will migrate your legacy database schema and data to a modern relational database platform — covering schema reverse engineering, normalisation improvements in the target schema, data type mapping, migration script development, data transformation for format and encoding differences, referential integrity restoration, and post-migration validation confirming data completeness and integrity. Database migrations without a validation phase routinely complete with missing rows, truncated strings, encoding corruption, and broken relationships that are only discovered by application errors in the weeks after cutover.
The migration covers source schema analysis, target schema design with improvements, column mapping documentation, ETL or migration script (Python or SQL depending on platform and volume), transformation for date format, encoding, and data type differences, and a validation script comparing record counts and key field samples between source and target. A migration report is delivered confirming completeness.
Designed for businesses migrating from Access, legacy MySQL, FoxPro, CSV-backed systems, or any outdated data store to a modern relational database as part of application modernisation.
The migration covers source schema analysis, target schema design with improvements, column mapping documentation, ETL or migration script (Python or SQL depending on platform and volume), transformation for date format, encoding, and data type differences, and a validation script comparing record counts and key field samples between source and target. A migration report is delivered confirming completeness.
Designed for businesses migrating from Access, legacy MySQL, FoxPro, CSV-backed systems, or any outdated data store to a modern relational database as part of application modernisation.
What the Freelancer needs to start the work
Please share your source database structure (export or schema DDL) and data files, your target database platform, any known data quality issues in the source, your expected data volume, and your cutover timeline and downtime tolerance.