Pradeep Kumar Nangunoori

Pradeep Kumar Nangunoori is an enterprise database and infrastructure modernization specialist whose 11-year career has been built in high-availability environments where downtime is expensive and data integrity is non-negotiable. Across Xifin, AT&T, Wells Fargo, and Deutsche Bank, he has been entrusted with designing, migrating, upgrading, and optimizing large-scale database ecosystems—work that spans on-premises clusters and cloud deployments, disaster recovery architectures, and replication pipelines that must sustain performance under continuous load.

Nangunoori’s technical identity is rooted in deep Oracle Database Administration expertise spanning versions 10g through 23ai, complemented by PostgreSQL and MySQL, and delivered across diverse operating environments including Solaris, HP-UX, AIX, RHEL, Oracle Enterprise Linux, Windows, and cloud infrastructures on AWS and Azure. His work consistently involves the hardest parts of enterprise database operations: Oracle RAC design and administration, Oracle Streams and GoldenGate replication, Data Guard (physical and logical standby), backup and recovery at scale using RMAN, and systematic performance tuning using OEM/Grid Control, AWR, ADDM, SQL Tuning Advisor, TKPROF, STATSPACK, and execution plan analysis. He pairs this database depth with cloud fluency—leveraging AWS services such as EC2, S3, RDS, CloudWatch, Route53, ELB, and Direct Connect, along with AWS DMS and SCT for schema conversion and database migration.

At Xifin, Nangunoori’s work sits at the center of enterprise database modernization. He administers large Oracle RAC environments—including an 8-node cluster on RHEL—and has contributed to database migrations from Oracle 19c to 23ai. In the Enterprise Database Modernization and Cloud Migration initiative, he helped move ODS databases onto cloud database infrastructure while minimizing customer impact. A measurable hallmark of this work was a significant reduction in downtime: initial customer downtime windows of 6–7 hours were reduced to ~60 minutes, an improvement achieved through rigorous migration choreography, automation, and replication-driven cutover design. The program operated at high scale—impacting hundreds of customers and petabytes of data—and included major enterprise customers such as Walmart, Walgreens, Kroger, and Arup.

His specialization in replication engineering is a recurring theme. At Xifin, he implemented Oracle GoldenGate for Big Data to support initial load and continuous replication, cutting downtime further by optimizing replication strategy and operational workflows. He collaborated with cross-functional teams to automate pre- and post-migration steps and designed a scalable, repeatable migration methodology that enabled high-throughput execution. The operational discipline is notable: the program achieved a 98% migration success rate, executed 20+ customer migrations in a single day, and reported zero Sev0/Sev1 incidents—a strong indicator of reliability under pressure.

In parallel, his Business Continuity and Database Optimization work at Xifin established high-availability and disaster recovery protocols for data-intensive applications using Oracle architecture. He led replication proofs of concept across 3-node, 5-node, and 8-node clusters spanning AWS and on-premises environments, validating bidirectional DML/DDL replication and tuning for complex schemas (including those with 4,000+ objects). He addressed sync delays, designed near-real-time replication models, and introduced operational techniques such as dual-loading and clone-copy strategies. Outcomes cited include 30% reduction in data load times, 40% improvement in query response times, 99.9% availability during peak hours, and 25% reduction in operational costs through efficient resource utilization. He also achieved highly accelerated clone creation (e.g., 250GB within a minute on the same cluster), reflecting strong command of storage and performance mechanics in clustered systems.

At AT&T, Nangunoori engineered GoldenGate-based high availability across production and disaster recovery environments, using Integrated Extract/Replicat processes to maintain transactional consistency while reducing source overhead via LogMiner-based integration. He designed resilience into the replication layer through multi-process deployment across clustered nodes, enabling automatic failover for node or process failures. He improved throughput using Parallel Replicat to reduce replication lag under high-volume transactions and implemented observability with GoldenGate Monitor Server and OEM plug-ins, including threshold-based alerting for replication health signals and custom shell/SQL*Plus health checks. The program achieved sub-second latency, improved replication efficiency by 30%, maintained zero data loss (RPO=0) in critical streams, and enabled migrations with near-zero downtime.

At Wells Fargo and Deutsche Bank, he delivered the classic but difficult enterprise objective: predictable availability with controlled failover. At Wells Fargo, he designed and deployed combined Oracle RAC + Data Guard architecture, improving load distribution and query performance while enabling planned and unplanned failover. Reported outcomes included 99.99% system availability, RTO under 15 minutes, support for 25% transaction volume growth without performance degradation, and a 20% infrastructure cost reduction over two years. At Deutsche Bank, he implemented Oracle RAC to improve resilience and scalability for critical data systems, tuning clusters for lower latency and integrating Data Guard for robust disaster recovery and consistency.

Beyond engineering delivery, Nangunoori operates as a senior technical leader, coordinating cross-functional database, network, and storage teams, transferring operational knowledge through repeatable migration playbooks, and supporting development teams through performance tuning, test data refreshes, and complex troubleshooting. He complements experience with industry credentials, including Oracle Certified Associate (11g DBA), Oracle GoldenGate 12c Implementation Specialist, and Microsoft Certified Azure Administrator Associate—validating his scope across both database and cloud operations.

Across the arc of his career, Nangunoori’s professional signature is consistent: reduce downtime windows, enforce data integrity, and build systems that recover cleanly—using replication, clustering, automation, and disciplined observability to keep enterprise data platforms reliable at scale.