Legacy ETL to Cloud-Native Pipelines: Zero Data Loss and 50% Lower Cost for Financial Services
Industry
Financial Services | Legacy Stack: Legacy ETL Platform | Target: Cloud-Native Data Pipelines
Sanciti AI Agents: RGEN, CodeGen, TestAI | Orchestrated by: LEGMOD
50% lower modernization cost | 90%+ parity validation coverage | 25-35% faster time-to-market
Client
A financial services company operating business-critical data pipelines on legacy ETL infrastructure, facing escalating license costs, performance ceilings at modern data volumes, and inability to integrate with cloud-native analytics platforms.
Challenge
- Legacy ETL pipelines built on proprietary tooling with escalating license costs and no path to reduction. Every dollar spent deepened vendor lock-in. The proprietary nature of the platform meant transformation logic was not portable.
- Undocumented transformation logic embedded in ETL jobs with tribal knowledge as the only map. Decades of accumulated business rules lived inside transformations that nobody had documented in their current state.
- Performance bottlenecks at modern data volumes. Legacy pipelines could not leverage distributed processing or cloud-native parallelism, creating ceilings that constrained new data product development and analytics delivery.
- No automated testing for data pipelines. Transformation accuracy was validated manually on a sample basis, meaning most data paths were untested. In financial services, an undetected transformation error carries regulatory and reporting risk.
Solution: Orchestrated by Sanciti AI LEGMOD
Sanciti AI’s LEGMOD orchestrated the data platform modernization end-to-end, coordinating RGEN, CodeGen, and TestAI to migrate transformation logic with complete preservation and validation.
RGEN: ETL Workflow Analysis and Logic Extraction
RGEN parsed legacy ETL workflows, extracted transformation logic, data lineage, and metadata, and generated structured documentation capturing the complete as-is state. Every transformation rule, dependency, and data flow was mapped and traceable.
CodeGen: Cloud-Native Pipeline Generation
CodeGen generated modernized data pipeline code optimized for distributed processing and cloud-native execution. Transformations were tuned for parallelism and scalability at data volumes the legacy platform could not handle.
TestAI: Automated Parity Validation
TestAI auto-generated validation tests comparing legacy ETL outputs against modernized pipeline outputs across every transformation path. 90%+ parity coverage at first-time delivery replaced manual sample-based validation, providing confidence in data accuracy that sampling could never deliver. LEGMOD governed the migration sequence with data lineage preservation as the primary constraint. All agent interactions passed through Sanciti AI’s guardrails with complete audit trails documenting every transformation migration.
Results
- 50% lower modernization cost versus the manual rewrite estimate. LEGMOD’s orchestrated pipeline delivered the migration that had been scoped for a large specialist team.
- 90%+ automated parity validation at first-time delivery across all transformation paths, replacing manual sample-based testing that left most data flows unvalidated.
- 25-35% faster time-to-market for new data products post-migration, with cloud-native pipelines supporting distributed processing at scale.
- Zero data loss with full transformation logic preservation validated through TestAI’s automated parity testing across every pipeline.
Impact
Legacy license costs and vendor dependency eliminated. Infrastructure moved to scalable, open, cloud-native data processing.
Data accuracy is validated continuously and automatically. The confidence gap from manual sample-based testing is closed, reducing reporting and regulatory risk in financial services operations.
Sanciti AI agents: RGEN, CodeGen, TestAI. Orchestrated by LEGMOD.
