GWC Data.Ai

Data Platform Modernization & Domo to Snowflake Migration for a Leading Organization

Migrating complex data workloads and operational Magic ETL logic from Domo to Snowflake to deliver a scalable, cost-efficient, and highly flexible cloud architecture.

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Domo to Snowflake Migration & Data Platform Modernization

Replacing constrained Magic ETL workflows with a scalable, cost-efficient Snowflake architecture.

Business Challenges

01

Scalability Limitations

Domo struggled with growing data volumes.

02

Performance Issues

Slow processing for complex transformations.

03

High Processing Costs

Increased dependency on Domo ETL.

04

Complex Workflow Management

Magic ETL pipelines were difficult to maintain.

05

Limited Flexibility

Challenges handling advanced transformations.

Solution Implemented

01

Migration to Snowflake

Moved data processing to scalable cloud warehouse.

02

Data Extraction & Ingestion

Migrated datasets from Domo and external sources.

03

SQL-Based Transformations

Rebuilt ETL logic using optimized SQL models.

04

Workflow Orchestration

Implemented tools for pipeline management.

05

Data Validation Framework

Ensured consistency between old and new systems.

Business Impact

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50–60% improvement in processing performance
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Reduced dependency on Domo ETL
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Lowered operational costs
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Enabled near real-time analytics
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Improved scalability and maintainability

Technology Stack

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Snowflake
SQL
Domo
AWS S3
Orchestration Tools

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GWC DATA.Ai