CIBC Canada

The Challenges

CIBC aimed to modernize its enterprise data infrastructure by migrating from a legacy Netezza appliance to the scalable, cloud-native Amazon Redshift platform. The project demanded an in-depth understanding of existing schemas, high data quality expectations, and a zero-tolerance policy for downtime or data loss.

Business Impact

Our Solution

We began a high-precision data migration initiative, combining cloud engineering, data profiling, and validation frameworks to ensure an accurate and efficient transition.

Data Mapping & Profiling

Conducted profiling across 1,500+ tables to analyze column-level metadata, cardinality, null distributions, and foreign key relationships.

Cloud Migration

Migrated over 45 TB of structured data from Netezza to Amazon Redshift,ensuring schema compatibility, data type transformation, and performance tuning.

Discovery & Classification

Built a data discovery layer that automatically flagged anomalies in 3.2% of records, addressed before live cutover.

Quality Assurance Framework

Designed validation scripts to perform row counts,checksums, and transformation audits, reducing post-migration defect rate to <0.01%.

Delta Testing

Implemented delta-load mechanisms and rollback strategies for seamless transition,with zero critical incidents reported during the go-live phase.

Client Feedback

“This migration was a high-risk operation, but Yotta Data delivered with precision. Their QA strategy and cloud expertise allowed us to shift platforms with full confidence in the data’s integrity.”

Director of Data Infrastructure, CIBC

Technologies Used

Amazon Redshift
AWS Data Migration Service (DMS)
Python, SQL, Bash
Data Profiling Tools
S3, Glue Catalog, CloudTrail