LTM Data And AI SSIS Modernization to Databricks

As organizations embrace Azure Databricks, many struggle with the complexities of migrating legacy SSIS workloads to modern PySpark-based solutions. Achieving a smooth, low-risk, and strategically aligned transition is critical—but not always straightforward.

This focused 6-week engagement is tailored for data leaders, ETL architects, and modernization teams looking to accelerate their shift from on-premises SSIS to the Azure ecosystem, including Microsoft Fabric and Azure Databricks.

We bring a proven, Gen AI–driven automation framework that can reduce migration effort by up to 70%, helping you:

By converting traditional ETL pipelines into scalable PySpark workflows, you'll unlock the full potential of Azure Databrick's & Microsoft's ecosystem —ensuring scalability, performance, and long-term adaptability.

Why This Engagement Matters

Engagement Overview

Week 1: Discovery & Assessment

Week 2: Planning & Estimation

Weeks 3–6: AI-Powered Modernization & Prototyping

Deliverables & Outcomes

By the end of the engagement, you will receive:

This offering reduces uncertainty and accelerates your path toward a future-ready, cloud-native data architecture—built on Microsoft’s trusted platform.