Naga Malleswara Babu Velpuri

Naga Malleswara Babu Velpuri is a data modernization leader who has spent more than thirteen years building the pipelines and platforms that allow large enterprises to escape legacy constraints without sacrificing reliability. His work across banking, insurance, and retail is unified by a clear theme: transforming foundational data systems—mainframes, monolithic databases, and legacy integration patterns—into cloud-native, event-driven architectures that can support real-time operations and analytics at scale.

At Macy’s, where he serves as Lead Software Engineer, Velpuri’s role sits at the heart of enterprise transformation. He is a key contributor to organization-wide modernization efforts that migrate DB2 mainframe workloads and Oracle databases to Google Cloud Platform services such as Spanner, BigQuery, Pub/Sub, Kafka, AlloyDB, and MongoDB. This is not a “lift-and-shift” exercise; it is a re-architecture of how mission-critical retail domains—inventory, pricing, promotions, locations, warehouse management, product catalog, transportation, and stores—consume and trust data. The complexity is amplified by the expectation of uninterrupted operations: data must remain consistent, secure, and low-latency while legacy systems are systematically decommissioned.

Velpuri’s technical depth was forged in distributed data infrastructure. He brings hands-on mastery of Hadoop ecosystem architecture—HDFS, NameNode/DataNode operations, MapReduce, job scheduling, and cluster lifecycle management—across IBM BigInsights, Hortonworks HDP, and Cloudera CDH. He has installed, configured, and operated major ecosystem components including HBase, Oozie, Hive, Sqoop, Pig, Zookeeper, and Flume, and has managed real-world concerns such as rack topology, commissioning/decommissioning, and performance and capacity tuning. This grounding in on-prem distributed systems gives him a practical advantage in cloud migrations: he understands the failure modes, the bottlenecks, and the operational patterns needed to keep platforms stable under load.

A distinctive feature of his profile is the dual role he holds with Striim—both administrator and developer. On the operations side, he owns installation, patching, upgrades, architecture planning, and capacity management for Striim clusters. On the engineering side, he builds applications that replicate and transform data streams from source systems into cloud targets, implementing filtering, enrichment, and routing logic to make streaming pipelines reliable and business-ready. He also manages GCP Spanner operational health—monitoring CPU, memory, and disk utilization—and resolves transmission issues that can manifest as latency spikes, data mismatches, or pipeline failures.

At Macy’s, his work is closely tied to the Mainframe Zero initiative, a strategic program aimed at eliminating mainframe dependencies. Velpuri leads migrations from DB2 mainframes and designs real-time pipelines using GoldenGate and Striim to ensure data integrity and consistency during cutover. He architects event-driven flows with Kafka and Pub/Sub to achieve fault-tolerant messaging and scalable distribution, and he supports application teams by implementing observability practices and troubleshooting complex incidents where correctness and timeliness are both mandatory.

His earlier work demonstrates breadth across industries and data disciplines. At Tech Mahindra supporting Citigroup, he led a Siebel-to-Salesforce migration that improved relationship manager productivity and reduced infrastructure costs through cloud transition, and contributed to integrated client view and reporting platforms consolidating customer data for underwriting and loan systems. At Softpath System LLC supporting UNUM Insurance, he executed CRM-to-Hadoop transformations and implemented IBM InfoSphere MDM, building governance-centered data models and batch frameworks for initial and delta loads—experience that complements his streaming pipeline expertise with strong MDM and data quality fundamentals.

Across roles, Velpuri’s leadership extends beyond systems into people and continuity: mentoring junior engineers, maintaining detailed operational documentation, collaborating across infrastructure/network/database/application/BI teams, and providing 24x7 production support for critical warehouse operations. His professional signature is clear: build data platforms that are modern, observable, secure, and dependable—so enterprises can evolve without losing trust in the data that runs the business.