SAS to Databricks Lakehouse Migration
TD Bank, Canada · Banking & Financial Services
Banking & Financial Services
TD Bank, Canada
Migrated legacy SAS ETL and analytics workloads to a Databricks lakehouse, improving scalability, performance, and long-term maintainability for financial reporting teams.
Key outcomes
- Validated regulatory reconciliation
- Documented migration lineage
Scope of work
Legacy analytics modernization and regulatory reconciliation
Business challenge
Complex SAS programs required reverse-engineering and validation. Regulatory reconciliation between SAS and Databricks outputs was mandatory, alongside performance tuning on large financial datasets.
Our approach
Translated SAS to Databricks SQL and PySpark; built lakehouse raw-to-curated models with Delta partitioning; delivered Tableau dashboards with validated metrics and documented reconciliation runbooks.
Technology stack
Capabilities delivered
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