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From Weeks to a Day: AI-accelerated ETL Migration with Snowflake CoCo

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From Weeks to a Day_ AI-accelerated ETL Migration at Scale - Header image

$1.5

Billion Revenue

745+

Retail Stores

Download Case Study

    A leading enterprise in the telecom retail ecosystem transformed its ETL migration strategy using an AI-first automation approach built with Snowflake Cortex Code.

    Instead of manually converting hundreds of pipelines, the organization leveraged AI to parse legacy workflows and automatically generate production-ready Matillion pipelines.

    This shift enabled the enterprise to move from time-intensive, manual conversions to high-speed, automated execution, accelerating migration timelines from weeks to a single day for 100+ pipelines while improving consistency, reducing risk, and enabling scalable reuse.

    Business Outcomes
    • Accelerated Migration Speed: 100+ pipelines converted in a single day, compared to weeks of manual effort per domain
    • High Automation Accuracy: ~70% pipelines generated production-ready, requiring minimal or no manual adjustments
    • Consistency at Scale: 100% standardized pipeline structure — uniform design patterns, naming conventions, and configurations
    • Reduced Deployment Risk: 3-tier risk classification model (GREEN/YELLOW/RED) that enables safe, phased production cutover
    • Cost Efficiency: Significant reduction in manual migration effort, minimized engineering hours through automation
    • Reusable Migration Capability: Reusable Matillion skill, applicable across future migration projects
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