Data Engineering
Data Engineering and Migration
Reliable pipelines, validation and migrations that move data between systems without losing trust in it.
Overview
Data migrations and integrations are where projects quietly succeed or fail. SubinLabs designs extraction, transformation, validation and loading processes that are repeatable, observable and reversible.
The emphasis is on confidence: profiling data before moving it, validating every stage, reconciling results and reporting clearly on what changed.
Problems this solves
- Moving to a new platform without a safe way to migrate historical data
- Inconsistent data spread across spreadsheets, databases and exports
- One-off migration scripts that cannot be rerun or audited
- No visibility into what failed, why, or how to recover
Capabilities
- Data profiling and quality assessment
- ETL pipeline design and orchestration
- Validation rules and reconciliation reporting
- Transformation and mapping between schemas
- Migration monitoring, logging and rollback planning
- Database design and query optimisation
Typical use cases
- Migrating records from a legacy system into a new platform in controlled batches
- Consolidating multiple data sources into a single, validated store
- Building a repeatable import process with error reports for business users
Delivery approach
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Profile the data
Understand volumes, quality issues and edge cases before designing anything.
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Design mappings and rules
Agree transformations and validation with data owners.
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Rehearse the migration
Run trial migrations, reconcile results and fix issues early.
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Execute and verify
Migrate with monitoring, reconciliation reports and a rollback plan.
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