Laxmi Madhu Kumar Brahmandam

From messy legacy data to AI-ready platforms: how AI is changing data migration and cleansing

Abstract:

Organizations are under pressure to retire legacy systems and modernize onto cloud-native, analytics-driven platforms, yet they are often held back by fragmented, poor-quality data and risky migration projects. This talk explores how artificial intelligence is reshaping the end-to-end data migration and cleansing lifecycle, turning a traditionally manual, error-prone exercise into an intelligence-driven capability. We will show how AI-powered tools can automatically profile legacy data, detect and remediate inconsistencies, duplicates, and missing values, and infer source–target mappings and transformation rules with far less human effort. We will also examine how machine learning enhances post-migration validation through anomaly detection, reconciliation, and continuous data quality monitoring, improving trust in the target platform. Along the way, we will discuss governance and compliance considerations, best practices for combining AI with traditional ETL processes, and common pitfalls to avoid when introducing AI into migration programs. Attendees will leave with a practical understanding of how to move from “messy legacy data” to clean, well-governed, AI-ready data platforms using today’s AI capabilities

Profile:

Laxmi Madhu Kumar Brahmandam is a highly accomplished Senior Data Engineer and dual-certified cloud architect with over 12 years of experience designing, building, and operating large-scale, mission-critical data platforms for government and regulated industries. As a long-tenured technical leader at the Texas Department of Transportation (TxDOT) — one of the nation's largest state agencies — Laxmi has architected the modernization of 40+ legacy enterprise systems, orchestrated multi-petabyte cloud migrations, and deployed AI-driven risk-assessment engines now embedded in statewide operational workflows. Holding both the AWS Certified Solutions Architect and Snowflake Certified Architect credentials, Laxmi brings extraordinary breadth across cloud infrastructure (AWS, GCP, Azure), distributed data engineering (Spark, Databricks, Kafka, Snowflake), full-stack development, DevOps, and ML/AI integration. A practitioner who has operated at the intersection of public-sector accountability and cutting-edge technology, Laxmi translates complex engineering challenges into compelling, actionable insights speaking from real-world experience building systems that serve millions of citizens.