Building the Data Backbone Behind Real-Time Financial Systems (alltechmagazine.com)

In a recent interview with AllTechMagazine, Gayathri Balakumar, a seasoned data engineering leader with over 17 years of experience, discussed the evolution of financial data architecture, emphasizing the critical role of infrastructure in real-time financial systems. Balakumar has a notable track record, having designed systems for major institutions like Capital One, where she played a key role in migrating over 100 petabytes of data to AWS and developing real-time pipelines capable of processing over a million transactions per second. Her insights reveal that as financial institutions face increasing transaction volumes, the ability to establish reliable, scalable data infrastructure is paramount. Balakumar highlights that the success of modern fintech relies heavily on AI-driven systems for transaction analysis and decision-making. She has pioneered methods for improving data integrity through automation and has filed a patent for her Agentic AI-based approach, which efficiently resolves data quality issues without manual intervention. This represents a significant leap for the AI/ML community, as it underscores that the real challenge lies not in model development but in ensuring high-quality, trustworthy data feeds. By leveraging cloud capabilities and focusing on robust data governance, Balakumar demonstrates how the future of finance will thrive on seamlessly integrated, resilient data architectures.