Oracle Engineering
Architecture, administration, migration, performance, availability and lifecycle engineering across enterprise Oracle platforms.
Senior Cloud Database Engineer specializing in Oracle 19c/23ai, Autonomous Database, GCP, AWS, performance engineering, HA/DR, automation and AI-assisted data workflows. I build secure, resilient and production-ready database platforms — from schema design and migrations to observability, CI/CD and NL-to-SQL enablement.
My focus is where database engineering, cloud infrastructure, automation and reliability intersect. I design platforms that are easier to operate, safer to change, faster to troubleshoot and ready for modern AI-driven applications.
Architecture, administration, migration, performance, availability and lifecycle engineering across enterprise Oracle platforms.
Secure cloud architectures spanning transactional databases, data services, networking, IAM, storage and observability.
Repeatable database and infrastructure operations using code-first workflows and CI/CD-driven change management.
Workload analysis, SQL optimization and concurrency tuning grounded in execution evidence — not guesswork.
Database preparation and validation patterns for AI-assisted query generation and natural-language-to-SQL workflows.
Least-privilege data access, schema isolation, encryption, auditing, HA/DR and operational controls for enterprise workloads.
Selected highlights from cloud database engineering, modernization, migration, performance and reliability work.
Designed cloud database patterns integrating Oracle workloads with GCP data services, secure networking, IAM controls, automation and scalable data pipelines.
Designed isolated relational data domains with dedicated users, roles, grants and least-privilege patterns to prevent unauthorized cross-schema access.
Prepared schemas, metadata, SQL patterns and validation workflows to support natural-language query generation and question-to-SQL-to-result testing.
Built an intelligent role aggregation workflow using prompt-based matching, automated filtering and recurring Excel output for job discovery and tracking.
Designed and deployed a scalable PostgreSQL-backed application using a modern cloud stack — combining product thinking with database architecture.
Created Python and PL/SQL automation for non-PII dataset generation, database seeding, quality validation, monitoring and repeatable environment operations.
City College of New York, New York.
Gandhi Institute of Technology, Visakhapatnam, India.
I’m interested in senior cloud database engineering, DBRE, platform and data infrastructure opportunities where reliability, automation, cloud architecture and performance matter.