Balakrishna Pothineni

Title of the Talk :
 Reimagining Data Integration in the Era of Serverless Cloud Computing

Abstract of Talk:
The rapid adoption of serverless cloud platforms is fundamentally transforming how data integration systems are designed, deployed, and operated. Traditional ETL architectures, built around long-lived clusters and static resource provisioning, struggle to meet the scalability, cost efficiency, and agility demands of modern data-driven enterprises, particularly in regulated sectors such as banking. 

This invited talk reimagines data integration through the lens of serverless computing, where infrastructure management is abstracted and compute resources are provisioned dynamically on demand. The presentation examines how managed services such as serverless Spark, event-driven ingestion frameworks, and cloud-native orchestration enable elastic scaling, improved fault isolation, and faster time to insight. It also highlights emerging challenges, including performance variability, cold-start effects, observability gaps, and governance constraints. Drawing on real-world banking use cases, the talk discusses architectural patterns for secure, compliant, and cost-aware data pipelines that support both batch and real-time workloads. The session concludes with practical guidance on balancing agility and control, and outlines future research directions in intelligent orchestration, metadata-driven automation, and self-healing data integration platforms for large-scale cloud environments.

Bio : Balakrishna Pothineni is a renowned researcher, technology innovator, and mentor, specializing in data integration, cloud computing, and enterprise architecture. His work is at the intersection of big data analytics, artificial intelligence, and cybersecurity, driving transformative advancements in digital infrastructure and intelligent automation. A prolific contributor to scientific research, Balakrishna has published extensively in peer-reviewed journals and international conferences, focusing on cutting-edge topics such as cloud-native architectures, AI-driven data governance, cybersecurity frameworks, and next-generation data integration strategies. His research has provided critical insights into scalable data processing, intelligent workload orchestration, and adaptive security mechanisms in cloud environments.