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Nikunj Rana
Data Engineer @Crowddoing
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WORK HISTORY
Data Engineer @Crowddoing
Refactored N+1 SQL query patterns and introduced Redis-based response caching, reducing average API latency by 15% and improving overall backend responsiveness.• Designed and maintained GraphQL schemas and resolvers to enable flexible client-side data querying while minimizing unnecessary database load.• Standardized API response contracts and error-handling strategies, improving frontend integration stability and reducing release-cycle issues.• Implemented monitoring and observability using Datadog APM, improving incident detection speed and reducing mean time to resolution (MTTR) by 25%.
EDUCATION
Vellore Institute of Technology
Bachelor of Technology - BTech, Electronics and Communications Engineering
San José State University
Master of Science - MS, Data Science
ABOUT NIKUNJ RANA
I’m a Full Stack Software Engineer with 6+ years of experience building backend-heavy systems using Java, Spring Boot, REST/GraphQL APIs, and React. I specialize in designing clean APIs, optimizing performance, and maintaining production stability in real-world environments.Recently, I’ve worked on reducing API latency through SQL optimization and Redis caching, improving observability with Datadog APM, and strengthening backend reliability in production systems. I also built a Dockerized Retrieval-Augmented Generation (RAG) pipeline using GPT-4 and ChromaDB during my Master’s at San José State University, combining modern AI systems with practical backend engineering.I enjoy solving performance bottlenecks, improving system stability, and building scalable, maintainable services. My background in Data Science further helps me work effectively with data-heavy systems and analytics-driven platforms.
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