Modernizing Food Delivery Pipelines with Automated Migration to Databricks 

Modernizing Food Delivery Pipelines with Automated Migration to Databricks 

A leading food delivery platform is in need of modernizing its analytics infrastructure to support growing data requirements and to enable faster decision-making. The company’s existing Snowflake environment relied heavily on SnowSQL-based data pipelines, which on over time began to limit performance and scalability. 

To address these challenges, the organization chose Databricks as its new platform and partnered with Systech to accelerate the migration. Using its flagship DBShift™ product, Systech automated the conversion of SnowSQL scripts to SparkSQL, eliminating manual rewrites, reducing migration timelines and establishing a stronger foundation for cloud-native analytics. 

Business Needs 

The company requires a faster, smarter way to modernize its data pipelines to keep pace with growing analytics demands.  

To support evolving business goals, the team aimed to:    

• Scale Efficiently – Move to a high-performance platform that can easily handle growing data volumes and user demand 

• Accelerate Analytics Delivery – Reduce the time needed to build, run and maintain data pipelines 

• Minimize Manual Effort – Eliminate the labor-intensive task of rewriting SnowSQL scripts for Databricks 

• Validate Results Early – Deliver a successful proof of concept quickly to guide the full migration rollout 

Systech Delivery 

The company partnered with Systech to fast-track the migration and reduce time-consuming, hands-on migration work.  

Using its flagship DBShift™ product, Systech automated the conversion of SnowSQL scripts to SparkSQL, ensuring speed and accuracy. The team conducted thorough validation, delivered a clean handover and completed the migration in just two weeks with minimal disruption to ongoing operations  

Solution 

Systech used an automation-led approach to modernize the company’s data pipelines and accelerate the migration to Databricks: 

• Aligned on Objectives – Worked closely with the internal team to define migration goals and success criteria. 

• Activated DBShift™ – Leveraged Systech’s flagship automation tool to convert SnowSQL scripts to SparkSQL, significantly reducing manual rewrites and speeding up delivery. 

• Validated Performance – Conducted thorough testing to ensure accuracy, reliability and production readiness. 

• Ensured a Smooth Transition – Delivered a ready-to-use solution with a clean handover and no disruption to ongoing operations.  

Business Impact 

• Accelerated Time to Value: Automated conversion significantly shortened the migration lifecycle 

• 90%+ Reduction in Manual Effort – High automation accuracy minimized manual rewrites and developer involvement. 

• Stronger Analytics Foundation – Enabled scalable, high-performance workloads on Databricks, creating a robust platform for future growth. 

With the migration complete, the client now operates on a cloud-native Databricks platform built for scalability and high performance, providing a solid foundation for future analytics. 

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