Shadab Raza
Member Of Technical Staff @ Oracle | Python, C++, C, Automation
- Role
- Member of Technical Staff at Oracle
- Location
- Ranchi, IN
- LinkedIn followers
- 500 followers
About Shadab Raza
Over 3+ years of experience in the server technologies working for Oracle Real Application Clusters(RAC) Grid Interprocess Communication(GIPC) team, specializing in developing and testing solutions for distributed systems. Expert in C++, C, and Python; developed tools for log analysis, real-time network diagnostics, cluster simulation, and automated triage, boosting efficiency in large-scale, mission-critical systems.
Experience
Member of Technical Staff
Jul 2022 — Present · Bengaluru, IN
GIPC Trace Analyzer | Python, Regex, JSON, Automation∗ Built a Python-based trace analysis tool to automate triage of GIPC communication issues across RAC clusters, eliminating manual log review.∗ Developed regex parsing, aggregation, and validation modules to convert daily log entries into structured JSON reports with root causes, remedies, and proofs.∗ Reduced debugging cycles from 3–5 days to under 4 hours (90%+ faster) and laid foundation for future GenAI/LLM integration for intelligent log analysis.Fast Node Death Detection (FNDD)| C++, Multithreading, Oracle Clusterware∗ Engineered a multithreaded, event-driven fault detection framework in Oracle Clusterware by integrating FNDD APIs with GIPC.∗ Reduced node failure detection latency from 30s to 1s (97% reduction), significantly improving cluster failover responsiveness and high availability.Certificate Rotation Orchestration Framework | Python, SCP, SSH∗ Built a Python orchestration framework with SSH, REST APIs, and SCP to automate root/intermediate CA certificate rotation in Oracle Clusterware.∗ Cut manual effort by 90% and reduced rotation time from 3+ hours to minutes with zero-downtime upgrades, rollback, and auditability.Identity Management System | C, C++, Cache, Linux, Multithreading∗ Built a global cluster-wide cache for user and group authorization with validation and flush policies, cutting LDAP/NIS+ load by 70%.∗ Implemented dual-threading to separate request handling and backend responses, doubling throughput under peak load.∗ Added request/response statistics dumps, reducing issue diagnosis time by 40%.
Education
DAV Kapil Dev Public School
HSC
2015 — 2017
SRM University
Bachelor of Technology - BTech
2018 — 2022
St. Francis School, Ranchi
SSC
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