Mr. Narasimha Chaitanya Samineni

AI-Driven Data Quality, Security, and Automation for Large-Scale Enterprise Data Pipelines

Abstract:

Ensuring trust, accuracy, and security in enterprise data pipelines has become increasingly complex as organizations scale into multi-cloud, multi-region, and multi-regulatory environments. This talk explores practical advancements in AI-powered Quality Assurance for data-intensive systems, with a focus on enhancing data reliability, pipeline stability, and security in highly regulated sectors such as banking and financial services.

Drawing from real-world implementations—including large-scale data migration, enterprise-wide data masking on cloud, regulatory reporting ecosystems (CCAR/IFRS9), and AI-enabled controls within Risk & Finance Data Hubs—the session demonstrates how metadata-driven validation patterns, intelligent reconciliation, and cloud-native automation frameworks reduce defects, accelerate delivery, and strengthen compliance.

Attendees will gain actionable insights into building scalable, audit-ready, privacy-preserving data workflows that align with modern regulations such as CCPA and GDPR. The talk highlights how organizations can transition from manual, error-prone validation to AI-assisted, continuously improving Quality Assurance frameworks.

Profile:

Narasimha Chaitanya Samineni is a seasoned Quality Assurance Specialist and Data Enthusiast with 15+ years of experience ensuring accuracy, reliability, and compliance across large-scale data ecosystems in retail and financial services. His work spans mission-critical initiatives including CCAR and IFRS9 regulatory reporting, CCPA privacy compliance, enterprise data masking programs, and multi-petabyte cloud migrations.

Recognized for his ability to bridge Quality Assurance, data security, data engineering, and cloud automation, he has contributed to the modernization of several regulated data platforms by introducing metadata-driven validation, AI-assisted data quality controls, and automated monitoring frameworks. He collaborates closely with risk, finance, architecture, cybersecurity, and engineering teams to elevate data integrity and drive organizational trust in complex, high-stakes environments.