We plan, execute, and validate complex data migrations between databases, cloud platforms, and enterprise systems, with full reconciliation and rollback strategies at every stage.
Components
Library
Guarantee
Zero Data Loss
Safety
Full Rollback Plan
Profiling source systems, mapping schemas, assessing data quality, and measuring volumes and dependencies before a single migration script is written.
Designing the ETL pipeline, transformation logic, error handling strategy, and reconciliation framework tailored to your specific source and target systems.
Running full migration rehearsals in staging with complete reconciliation reporting, giving you data-backed confidence and a proven rollback path before production cutover.
Executing managed production cutover with live monitoring, automated reconciliation checks, and an on-call engineering team throughout the entire migration window.
Data migration is one of the highest-risk technical operations a business undertakes. Our process is built around the assumption that something will go wrong, and ensuring that when it does, recovery is fast and complete.
Full source data profiling, schema mapping, and data quality assessment before any migration script is written.
Row counts, hash verification, and business rule validation after each migration phase, not just at the end.
Every migration has a documented rollback procedure tested in staging. We never cut over without a proven path back.
Migrations are planned around your operational calendar, change freezes, peak trading periods, and SLA requirements shape our execution timeline.
Data migration failures are expensive and sometimes irreversible. We eliminate the risk.
Data arrives in the target system but with subtle corruption, wrong encodings, truncated fields, or broken relationships that only surface weeks after cutover.
Multi-layer validation, schema validation, referential integrity checks, business rule verification, and sample-based manual review before any cutover is approved.
The migration window runs long, causing unexpected downtime that affects operations, customers, and SLAs with no clear path to completion.
Live migration strategies using change data capture, keeping source and target systems in sync until the final atomic cutover, reducing downtime to minutes.
PostgreSQL, MySQL, MSSQL, Oracle, MongoDB, and cloud platforms including AWS RDS, Aurora, Google Cloud SQL, and Azure SQL. We also handle migrations from legacy flat-file and proprietary formats.
Transformation logic is a core part of our migration design. Where data needs cleaning, enrichment, or restructuring, we build and validate the transformation rules as a first-class deliverable.
Every migration has a documented abort and rollback procedure. We test this in staging alongside the forward migration so both paths are proven before production cutover.
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