Major Fintech Company | Data Platform Engineering
From Legacy to Real-Time Lakehouse at Global Scale
Unified multi-gateway payment data into a modern cloud Lakehouse using Databricks, Kafka, and AWS. Architected CI/CD pipelines and ML-based anomaly correction that doubled data accuracy, reduced processing time by 40%, and achieved zero critical findings in GDPR/PCI audits.
Key Outcomes
- ✓ 40% reduction in payment data processing time
- ✓ 15% OpEx reduction through infrastructure modernisation
- ✓ Doubled data accuracy via ML-based anomaly correction
Data Platform Architecture Data Engineering MLOps