Chaitanya Reddy
Lead Data Engineer
Dallas, Texas, United States
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Seasoned ETL & QA Engineer with proven expertise across Healthcare, Insurance, Finance, Banking, Marketing/Retail, and Aviation domains. With a strong foundation in Data Analytics, AI-driven analytics, Cloud Computing, Big Data, Enterprise Data Quality Assurance, and Machine Learning, I bring extensive experience in transforming raw data into trusted, actionable insights. My career has been dedicated to building scalable, results-oriented solutions that ensure data integrity, streamline enterprise workflows, and empower organizations with business intelligence and advanced analytics. Recognized for bridging technology and business, I specialize in designing, validating, and optimizing complex data ecosystems that drive innovation, compliance, and measurable outcomes.
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AI in Finance: Automating Risk, Compliance & Insight at Scale
The financial industry demands precision, speed, and trust making it an ideal environment for applied AI. In this session, we’ll explore how AI and automation are transforming risk management, compliance, and operational workflows across the financial sector.
Drawing from hands-on experience in leading cloud migration and enterprise automation at a global financial institution, I’ll share how AI was embedded into critical data pipelines to enable real-time fraud detection, support AML/KYC compliance, and reduce operational overhead. We’ll examine how PySpark-based automation frameworks and machine learning models enhanced the monitoring of suspicious activity, streamlined data validation, and supported regulatory adherence without compromising performance.
This session also highlights the importance of data observability and quality in financial environments. We’ll discuss strategies for maintaining trust in AI outcomes through robust data reconciliation, cross-system integrity checks, and proactive anomaly detection.
Chaitanya Reddy
Lead Data Engineer
Dallas, Texas, United States
Actions
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