SAS to Databricks Migration at Scale | Whitepaper

A successful Databricks migration requires a robust and scalable architecture. The solution involves a Hub-and-Spoke Multi-Agent System that orchestrates LLM-driven pipelines and feedback loops for industrial-scale code conversion.

The core of the migration is the intelligent conversion of SAS code into production-grade PySpark code and Spark SQL. A cooperative network of specialized agents handles this process, each responsible for a critical workflow phase.

In this whitepaper, dive into the detailed migration process, the use of AI agents, and how GenAI-based automation can improve efficiency in the migration lifecycle.

ABOUT THE AUTHORS

Harshit ParikhSVP, Data & AI Studio, Infogain

Harshit Parikh is a seasoned technology executive with 20+ years of experience leading large engineering teams, architecting complex Data and AI-powered technical solutions, and building and scaling geographically distributed teams to deliver them. He has been driving results with an unwavering focus on client benefits.

A self-described digital native, Harshit has spent his career building the technical foundations that enable true digital transformation for Fortune 500 clients.

Harshit believes that “Everything Digital must become Intelligent” and consistently partners with clients, building an insights-driven culture, powered by Data and AI solutions, in their organizations.

Pankaj BajajSenior Principal Architect, Infogain

Pankaj Bajaj is a seasoned data and analytics professional with over 25 years of comprehensive experience in Business Intelligence, Data Warehousing, and Analytics technologies.

As an enterprise data architect, he specializes in end-to-end solution design, implementation, and enhancement across various applications and platforms. Pankaj leads presales initiatives and manages large-scale deals including complex RFP responses, while driving operational efficiency through automation, accelerators, and innovative frameworks. His expertise spans cloud platforms including Azure, AWS, GCP, Snowflake, and Databricks, with hands-on coding experience in SQL and PySpark.

Pankaj has had extensive stints with Birlasoft, CapGemini, Concentrix, Vodafone and BMC Software.

Avantika JoshiSenior Development Consultant, Infogain

Avantika Joshi is a Senior Development Consultant at Infogain, where she collaborates with clients to design, develop, and deliver data solutions that generate meaningful insights and business value. Her expertise spans the Microsoft Azure Data Platform, Big Data Analytics, and Generative AI, enabling her to architect scalable, intelligent data pipelines that address complex business requirements.

With over a decade of experience at organizations like Infosys and Deloitte, she has consistently delivered data-driven solutions that enhance decision-making, improve operational efficiency, and drive strategic initiatives across diverse industry sectors.

Since 2023, her focus has expanded to integrating Generative AI into enterprise data ecosystems, enabling innovative capabilities and measurable business outcomes.

Palak PariharSenior Consultant, Infogain

Palak Parihar is a Senior Consultant at Infogain with 10 years of experience in cloud solutions, software development, and data engineering. She has deep expertise in AWS and Azure, backend frameworks like FastAPI and Flask, and ReactJS for front-end development.

Palak has designed data migration pipelines and built data lakes and is a certified Databricks Data Engineering Professional with proven experience in automating large-scale data processing and analytics workflows.

She has honed her data analytics and business intelligence skills through roles at XPO, Nykaa.com, and eClerx. Palak is skilled in data visualization, statistical analysis, and cloud-based analytics platforms, enabling her to deliver actionable insights and data-driven recommendations that support strategic business decision-making.

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