Naga Malleswara Babu Velpuri

Architecting Enterprise Data Modernization: A Framework for Legacy-to-GCP Migration

Abstract:

Enterprises operating on legacy platforms such as DB2 mainframes and Oracle databases face significant structural impediments to agility, analytics, and cost efficiency. These systems rely on overnight batch jobs, constrained compute capacity, tightly coupled integrations, and brittle change management practices that collectively hinder real-time decision-making and scalability. This presentation introduces a comprehensive, architecture-led framework for modernizing enterprise data platforms on Google Cloud Platform, centered on secure, observable, and cost-conscious design principles.
The framework is organized into four distinct phases: Assessment, Design, Execution, and Validation. The Assessment phase inventories data sources, lineage, service level agreements, compliance obligations, and interdependencies while quantifying data gravity and identifying candidate domains for early wins. The Design phase produces target-state architectures that unify streaming ingestion, processing, and multi-modal serving capabilities, with emphasis on identity and access management hierarchies, virtual private cloud design, encryption strategies, and governance guardrails. The Execution phase formalizes cutover mechanics including bulk backfill, change data capture synchronization, validation harnesses, and progressive traffic shifting using canaries and shadow reads.
A practical case study from a Mainframe Zero initiative demonstrates the framework's outcomes, including transforming analytical latency from hours to seconds, achieving consistent transactional behavior, and delivering event distribution through managed services with fault tolerance and scalable fan-out. The presentation addresses organizational dimensions including domain-aligned data product teams, federated governance, and enablement programs that accelerate adoption and reduce variability. By unifying architectural rigor with operational excellence, this framework offers a repeatable blueprint for complex legacy-to-cloud transformations, helping enterprises unlock real-time analytics, elasticity, and sustainable innovation while optimizing total cost of ownership and resource utilization across their data ecosystems.

Profile:

Naga Malleswara Babu is a Lead Engineer with over 18 years of progressive IT experience in software development, data engineering, and large-scale data modernization. Currently at Macy’s Systems & Technology, he leads enterprise initiatives focused on replicating and migrating data from legacy systems to modern, cloud-native platforms, including Google Cloud Platform services such as Spanner, BigQuery, and Pub/Sub.
A seasoned Big Data specialist, Naga brings deep expertise in managing Hadoop ecosystems using IBM BigInsights 4.2 and Hortonworks HDP 3.1. His technical proficiency spans the full Big Data stack, including HDFS, MapReduce, Sqoop, Flume, Hive, and Oozie. He excels at building scalable, distributed data solutions and administering high-availability clusters in demanding production environments, providing 24/7 operational support and ensuring critical system availability.
Beyond Big Data infrastructure, Naga demonstrates strong expertise in cloud technologies and data integration platforms. He serves as a Striim administrator and developer, managing real-time data replication and stream processing. His experience also includes designing and implementing Master Data Management (MDM) solutions using IBM InfoSphere, ETL development with Ab Initio, and enterprise data warehouse architecture.
Throughout his career, Naga has successfully led cross-functional teams and managed complex data modernization initiatives across the banking, insurance, and retail sectors. He excels in requirements gathering, technical design, and implementation across the complete Systems Development Life Cycle (SDLC). His strong analytical skills, combined with effective communication, enable him to bridge technical and business perspectives seamlessly.
Naga holds a B.Tech in Electronics & Communications Engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad. He remains committed to staying current with emerging technologies while delivering reliable, enterprise-grade data solutions that drive measurable business impact.