Prabhu Patel With an extensive career spanning more than 18 years, Prabhu Patel stands as a veteran Application Development Architect and Designer who has spearheaded numerous large-scale IT transformation projects while specializing in Data Streaming, Big Data, Machine Learning (ML) Cloud Computing, Automation engineering, and cloud solutions. Prabhu currently resides in Dallas Texas where he stands as a recognized thought leader and innovator within banking and financial technology sectors due to his proven ability to optimize operations and boost system efficiencies through advanced automation frameworks combined with engineering excellence.
Prabhu possesses certifications in Big Data AWS Cloud and Agile methodologies and has occupied essential positions within prominent United States banks financial institutions and Trading/Clearing platforms where he contributed to many successful projects focused on application migration regression testing quality assurance and end-to-end automation strategy. In addition to his professional duties Prabhu maintains extensive involvement with both academic and professional networks. The individual in question holds the prestigious status of Senior Member within IEEE while simultaneously maintaining Fellowship positions with both IETE and BCS, and he performs manuscript reviews for numerous publications. The author has an extensive portfolio of academic work focused on examining how Data Streaming functions within both Trading operations and clearing firm activities.
Prabhu has completed his Master degree in Information System from Minot State University USA, His fervent dedication to mentoring, innovative pursuits, and community service drives his active participation as a judge in international tech contests such as Globee and Stevie while his academic work remains available on platforms including Google Scholar, ResearchGate, and Web of Science.
The specific focus of my academic investigation revolves around, The examination of potential threats combined with analytical processes for real-time data streaming within trading and clearing organizations
His particular interest lies in enhancing system efficiency while he has gained renown for designing scalable solutions with significant impact and leading teams of high performers to deliver systems with optimized performance.
The Power of Real-Time Data Streaming in Modern Architectures
In today’s hyperconnected world, businesses demand instant insights to drive decisions, optimize operations, and enhance customer experiences. Real-time data streaming has emerged as the backbone of this transformation, enabling organizations to process and analyze data as it happens—eliminating latency and unlocking unprecedented agility.
This session dives deep into the tools, patterns, and challenges of building scalable real-time systems. We’ll explore:
•Why batch processing is no longer enough in an era of IoT, financial trading, and personalized user interactions
•Architecting with Apache Kafka & Flink to handle millions of events/sec with fault tolerance
•Proven use cases from pricing engines to fraud detection, where streaming delivers 3–10x performance gains
•Avoiding the pitfalls of state management, out-of-order events, and resource bottlenecks
Attendees will leave with actionable strategies to modernize legacy pipelines, reduce cloud costs, and harness streaming data as a competitive weapon. Whether you’re building event-driven microservices or AI-powered analytics, this talk will reshape how you think about data in motion.
(Ideal for: Architects, Data Engineers, and Tech Leaders ready to future-proof their systems.)
Key Highlights:
Cutting-Edge Focus: Beyond basics—covers modern challenges like stream-table duality and serverless streaming
Battle-Tested Examples: Draws from real-world implementations in finance, e-commerce, and cloud platforms
Vendor-Neutral Insights: Principles apply across Kafka, Pulsar, AWS Kinesis, and other platforms