Adopt the modern data stack
Data product engineering
Migrate your legacy data infrastructure and pipelines to a future-proof platform
High-level approach
Our engineering Key angles
We adhere to a validated process to migrate legacy data projects to a Snowflake-centric platform.
Agile to cover business change
Adapt the pace of delivery to the pace of change.
Minimize talent lock-in
Approach data product engineering through a code-first approach
- Repeatable blueprints
- Reduced Overhead
- Futureproof engineering
Design for scale
Good industry practices and internal R&D lead up to scaleable data platforms.
AI-Aided Migration
Snowflake migration kit
Our proprietary migration tool analyzes your current data pipelines at scale, and generates a Snowflake-ready dbt projects.
Time saved on analysis
0 %
Time saved on conversion
0 %
Time saved on deployment
0 %
Case studies
A telco realized material cost reductions by migrating legacy Datastage ETL workloads to Snowflake and dbt.
A “big farma” enterprise structurally organized their migration to Snowflake by centrally designing capabilities
