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Modernizing a Leading Pension Fund’s EDW: From SSIS to dbt on Snowflake

Delivering an End-to-End Enterprise Data Warehouse Migration from SSIS to dbt on Snowflake for a Leading Pension Fund.

Modernizing a Leading Pension Fund’s EDW From SSIS to dbt on
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What Next Pathway's Leading Pension Fund Case Study Covers

A leading pension fund modernized its Enterprise Data Warehouse by migrating from SSIS to dbt on Snowflake. Next Pathway automated code conversion, modernized ETL pipelines, and built a scalable cloud-native platform for future analytics and AI.

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Legacy Enterprise Data Warehouse Modernization

Modernized a legacy SSIS-based Enterprise Data Warehouse by migrating ETL pipelines, redesigning the data architecture, and implementing enterprise-ready governance on Snowflake—all while minimizing disruption to business operations.

Automated SSIS to dbt Migration

Converted 96 SSIS packages into 152 dbt models using AI-powered automation. Legacy ETL logic was modernized, Apache Airflow replaced SSIS orchestration, and reusable transformation frameworks accelerated delivery.

Cloud-Native Foundation for Analytics and AI

Built a scalable Snowflake data platform with modular dbt transformations, enterprise audit capabilities, and modern orchestration, creating a foundation for advanced analytics, AI initiatives, and future data platform growth.

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1 Billion+

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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
British Asset Management Firm Migrates from Azure Synapse and Azure Data Factory to_Cover

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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