We migrate legacy databases to Azure and Databricks, build ETL pipelines, and deliver full reconciliation reports before every cut-over. No surprises, no data left behind.
Move from on-prem SQL Server, MySQL, or Oracle to Azure SQL / PostgreSQL with zero data loss.
Design, build, and run Azure Data Factory pipelines and Databricks lakehouse architectures.
Schema-aware transformation, reconciliation, and orchestration across any source-target pair.
Row-count checks, drift alerts, and dashboards so your data stays trustworthy post-migration.
Inventory source systems, row volumes, dependencies, and data quality debt.
Schema mapping, transformation rules, and target architecture blueprint — signed off before code.
Incremental extraction, parallel loads, and reconciliation to eliminate downtime risk.
Row-count parity, value-level spot checks, and cut-over green-light checklist.
Reconciled before cut-over
Every migration ships with reconciliation reports before production cut-over.
Minimal downtime cut-over
Incremental sync keeps source live while target catches up.
Schema documentation
Full ERD and lineage map delivered as part of every engagement.
Founder-led delivery
No juniors handed your critical data migration. You deal directly with the engineer.
Our software division builds internal tools, dashboards, and customer portals on the data platform — a natural complement to a clean data backend.
Tell us about your source systems and scale — we'll scope the migration and send a quote.
