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Financial Services Company migrates their legacy DataStage ETL pipelines to Snowflake

Financial Services Company migrates their legacy DataStage ETL pipelines to Snowflake

Financial Services Company migrates their legacy DataStage ETL pipelines to Snowflake
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What Next Pathway's Financial Services Company Case Study covers

A Fortune 500 Financial Services Company migrated legacy DataStage ETL pipelines to Snowflake in just 19 weeks. Next Pathway’s automation platform repointed and tested nearly 4,000 DataStage ETL pipelines, converted thousands of embedded SQL lines to Snowflake, and accelerated a stalled legacy modernization initiative.

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Large Scale DataStage Modernization

A Fortune 100 financial services organization engaged Next Pathway to modernize legacy DataStage ETL pipelines as part of a broader Snowflake migration initiative. Previous migration efforts had stalled because of the scale and complexity of nearly 4,000 DataStage pipelines.

Automated Snowflake Repointing and Testing

Using the SHIFT Migration Suite, Next Pathway repointed and tested all DataStage ETL pipelines along with thousands of embedded SQL lines for Snowflake compatibility in just 8 weeks. The automation driven approach accelerated migration execution while reducing manual remediation effort.

Accelerated Cloud Migration Success

Next Pathway provided best practices for complex ETL testing, database migration strategy, and Snowflake optimization to support a successful implementation and cut over. The full project was completed within 19 weeks, enabling a successful migration to Snowflake and advancing the client’s legacy modernization program.

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1 Billion+

Lines of code translated automatically

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160+

Enterprise modernizations completed

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80%

Faster time-to-market for AI-ready infrastructure

Latest Snowflake Case Study

Next Pathway helped a UK-based asset management leader migrate from Azure Synapse and Azure Data Factory to Snowflake with zero business disruption and 100% automated code translation.

Read the case study to see how Next Pathway delivered:

End-to-end migration completed in just 10 months
100% automated code translation with SHIFT
Seamless compliance and financial reporting throughout cutover
Real-time analytics and AI-ready data on a unified platform
Download Case study
Snowflake Modernization Guide

What Industry Analysts Say

Image (Rob Enderle)
Rob Enderle

ENDERLE GROUP

"Next Pathway is providing a solution that accelerates the migration process, giving organizations a faster route to realizing value from their data."
Eric Kavanagh
Eric Kavanagh

THE BLOOR GROUP

"SHIFT Cloud enables a remarkably swift and robust transition from traditional data warehousing to the cloud."

What a structured Snowflake migration covers

A successful migration to Snowflake requires a clear plan across four disciplines.

Discovery and dependency mapping

Every code object, ETL pipeline, and data dependency needs to be identified and documented before migration begins. Hidden complexity discovered mid-migration creates delays and risk.

Code translation and modernization

Legacy SQL, stored procedures, and ETL pipelines must be converted into optimized, Snowflake-native workloads. Automated translation eliminates manual rework and ensures full coverage.

Validation and functional parity

Every migrated workload must be validated against the legacy source to confirm data accuracy and functional equivalence before cutover. 100% parity is not optional.

Production cutover planning

Cutover requires a defined plan covering resource allocation, rollback decisions, and business sign-off. Teams that plan cutover from the start move faster and with greater confidence.

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