Mr. Mayilsamy Palanigounder

Intelligent ETL Validation: AI-Driven Testing in the CI/CD Era

Abstract:

The data landscape has shifted pipelines now evolve daily, data changes by the minute, and business decisions demand real-time accuracy. Yet ETL testing remains one of the most manual, time-consuming, and fragile parts of data engineering. It’s time for a reinvention.

This keynote introduces a new era of Intelligent ETL Validation, where AI and automation transform data quality assurance from reactive and manual to continuous, autonomous, and self-improving. By embedding AI-driven validation into CI/CD pipelines, organizations can detect schema drift, predict data quality issues before they occur, auto-generate test cases, and ensure trusted data reaches downstream users at the speed of change.

Attendees will discover how AI agents, machine learning models, and modern DevOps practices can work together to create zero-touch data testing—reducing QA effort, increasing confidence in production releases, and accelerating innovation across the data lifecycle. This keynote is ideal for data leaders, architects, and engineering teams ready to transform their data platforms into intelligent, self-validating ecosystems.

Profile:

Mayilsamy Palanigounder is an Engineering Specialized Advisor with strong expertise in architecting and delivering enterprise-scale data solutions. He focuses on building scalable automation frameworks, optimizing data transformation processes, and embedding intelligent validation into modern cloud-based data ecosystems.
At NTT Data Services LLC, he partners with cross-functional teams to define data standards, streamline complex ETL workflows, and enable seamless integration across platforms. With proven strengths in data engineering, automation strategy, and advanced analytics, he has led initiatives that significantly improve operational efficiency and support data-driven decision-making across organizations.