Financial services · cloud data integration
Modernising legacy ETL pipelines with Informatica IDMC
Modernised established ETL pipelines with Informatica IDMC through dependency analysis, data-quality controls, testing, and business validation.
Delivered engagementThe challenge
A financial-services organisation needed to modernise established legacy ETL pipelines with Informatica Intelligent Data Management Cloud (IDMC) without losing the integration logic and dependencies embedded in the existing workflows.
Data from different sources also contained quality and consistency issues that had to be identified and corrected before it could enter the new pipeline.
What Monic delivered
Monic analysed the existing ETL workflows and their dependencies, then designed and developed replacement mappings and workflows in Informatica IDMC.
The team worked with business users on data validation, cleansing, and standardisation, resolved discrepancies across source systems, and supported user acceptance testing against the agreed business requirements.
The result
The engagement delivered the migrated integration logic as IDMC mappings and workflows, with data-quality issues addressed and the resulting data validated through business-led UAT.
What this case demonstrates
The engineering lessons behind the result.
These are the delivery patterns a team facing a similar operating problem should plan for.
Migration starts with dependency analysis
Existing pipelines encode sequencing, transformations, and operational assumptions. Understanding those dependencies before rebuilding reduces omissions and unexpected downstream effects.
Data quality travels with the pipeline
Moving integration logic does not remove inconsistent source data. Validation, cleansing, standardisation, and discrepancy resolution belong inside the migration scope.
Business validation completes the migration
Technical execution shows that a workflow runs; UAT confirms that the migrated data and business behaviour still meet the users’ requirements.