Building Trust in Intelligent Systems: The Role of Scalable Data Engineering in the AI Era
Abstract:
In the age of intelligent computing, the success of AI and analytics hinges not just on algorithms—but on the quality, trust, and agility of the data that fuels them. This keynote explores how scalable data engineering frameworks are enabling real-time insights, automation, and decision-making across industries. Drawing on over 16 years of experience in Informatica Cloud, big data pipelines, and enterprise data quality, Bhagya Laxmi Vangala shares practical strategies for building resilient, high-trust data ecosystems that power intelligent platforms—from healthcare to logistics and beyond.
Profile:
Bhagya Laxmi Vangala – ETL Architect & Data Engineering Specialist
A seasoned IT professional with over 16 years of experience in ETL architecture, data integration, and data quality. Bhagya Laxmi has led large-scale data transformation projects across industries including automotive, healthcare, hospitality, and technology. Her expertise spans tools like Informatica IICS, PowerCenter, IDQ, Ab Initio, Teradata, and modern cloud platforms such as Google BigQuery and AlloyDB. She is known for her strong technical acumen, SQL performance tuning, API integration, and data modeling skills. Bhagya Laxmi consistently delivers scalable, high-performance data solutions that drive business insights and operational efficiency.
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