Live reporting
The warehouse migration had to preserve the reporting path through the cutover.
Case 01 / anonymized engagement
A six-hour batch became a 22-minute run.
Engagement14 weeks
Team2 data engineers + Inpro lead
EnvironmentFinancial services
01 / The brief
Modernize the warehouse without interrupting reporting.
The existing on-prem warehouse ran a six-hour nightly batch. The migration had to move the data platform to Snowflake while keeping reporting live through the cutover.
Starting point6-hour batch
ConstraintParallel validation
ProofReporting stays live
02 / Delivery
A production migration, owned in the client stack.
The delivery combined Snowflake, dbt, Airflow and Terraform. Two data engineers worked with an Inpro lead across the migration and cutover.
SnowflakedbtAirflowTerraform
Delivery record
One cutover, with the reporting path kept alive.
Starting pointOn-prem warehouse
Six-hour nightly batch and live reporting dependency.
Production targetSnowflake platform
dbt transformations, Airflow orchestration and Terraform infrastructure.
Cutover control
Two paths ran in parallel until the reporting route was proven.
Cutover verification
Legacy batchSource reconciled
New platformdbt checks passing
ReportingStays live
Engagement detail
The constraint, delivery shape and production foundation in one view.
Snowflake, dbt and Airflow
Transformations, orchestration and infrastructure were delivered in the production stack.
14 weeks, senior-led
Two data engineers worked with an Inpro lead across the migration and handover.
Technical + business value
How the production migration translated into operating value.
A controlled path from the legacy warehouse to Snowflake.
The implementation joined orchestration, transformation and infrastructure into one production migration. Airflow coordinated the jobs, dbt owned the transformation layer, Snowflake became the target platform and Terraform made the infrastructure repeatable.
SourceOn-prem warehouseOrchestrateAirflowTransformdbtServeSnowflake + Terraform
- The reporting path stayed live through cutover.
- Two data engineers worked with an Inpro lead for 14 weeks.
A shorter nightly window without a reporting interruption.
The operational outcome was concrete: the same nightly workload moved from six hours to 22 minutes while reporting remained available during the migration.
22mNightly batch runtime after migration
LiveReporting continuity through cutover
Before / 6h
After / 22m
03 / Outcome
Reporting stayed live. The nightly runtime fell to 22 minutes.
6h22m