I am a Software Engineer with 4+ years of experience building high-performance backend systems, data platforms, and full-stack applications across cloud-native environments. I specialize in Python, FastAPI, Node.js, and event-driven architectures using Kafka and Redis to deliver scalable, low-latency services handling 100k+ transactions monthly. I have a proven track record optimizing CI/CD pipelines, containerized deployments on AWS EKS, and implementing robust observability to improve reliability and release efficiency. I am experienced in real-time data pipelines, ETL workflows, and modern frontend integration, consistently driving gains in performance, scalability, and operational efficiency.

Zarana Sanjaykumar Nakrani

I am a Software Engineer with 4+ years of experience building high-performance backend systems, data platforms, and full-stack applications across cloud-native environments. I specialize in Python, FastAPI, Node.js, and event-driven architectures using Kafka and Redis to deliver scalable, low-latency services handling 100k+ transactions monthly. I have a proven track record optimizing CI/CD pipelines, containerized deployments on AWS EKS, and implementing robust observability to improve reliability and release efficiency. I am experienced in real-time data pipelines, ETL workflows, and modern frontend integration, consistently driving gains in performance, scalability, and operational efficiency.

Available to hire

I am a Software Engineer with 4+ years of experience building high-performance backend systems, data platforms, and full-stack applications across cloud-native environments. I specialize in Python, FastAPI, Node.js, and event-driven architectures using Kafka and Redis to deliver scalable, low-latency services handling 100k+ transactions monthly.

I have a proven track record optimizing CI/CD pipelines, containerized deployments on AWS EKS, and implementing robust observability to improve reliability and release efficiency. I am experienced in real-time data pipelines, ETL workflows, and modern frontend integration, consistently driving gains in performance, scalability, and operational efficiency.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

Software Engineer at ServiceNow
November 1, 2024 - Present
Developed backend microservices in Python/FastAPI and Node.js/Express.js, improving API throughput and reducing transaction processing time from minutes to seconds for 120k+ monthly transactions. Optimized distributed event-driven pipelines leveraging Apache Kafka and Redis caching, improving real-time data processing throughput by 42% while lowering API latency by 30%. Deployed containerized services on AWS EKS with Docker and Jenkins-driven CI/CD automation, accelerating release cycles by 50% and cutting deployment failures by 60%. Built responsive internal dashboards using React and backend APIs for real-time incident response visibility and improving operational SLA adherence by 25%. Implemented observability and monitoring using centralized logging, metrics, and alerting tools. Developed and maintained Foundry data pipelines and contributed to application development within the platform, leveraging Python-based transforms and SQL logic to deliver clean, analysis-ready datasets.
Software Engineer at Infinite Infolab
November 1, 2020 - July 1, 2023
Developed full-stack applications using React.js, Node.js, and MongoDB to digitize client operations, increasing workflow efficiency by 35% across 10+ enterprise deployments. Automated infrastructure provisioning on AWS EC2, S3, and Lambda, decreasing environment setup time by 55% and improving scalability during peak loads. Strengthened application reliability by introducing Jest and Mocha-based unit and integration testing frameworks, reducing production defects by 40%. Spearheaded Stripe API integrations and secure payment workflows, driving 18% revenue growth through subscription management and checkout optimization. Orchestrated MQTT-based IoT data ingestion with Redis-backed caching layers, enhancing streaming data stability and reducing message loss by 32%. Implemented real-time ETL pipelines with Python, Airflow, and PostgreSQL, cutting data reconciliation time by 45% and enabling near real-time reporting.

Education

Master of Science in Computer Science at California State University Long Beach
January 11, 2030 - May 1, 2025
Bachelor of Engineering in Computer Engineering at Gujarat Technological University
January 11, 2030 - June 1, 2022
Master of Science in Computer Science at California State University Long Beach
January 11, 2030 - May 1, 2025
Bachelor of Engineering in Computer Engineering at Gujarat Technological University
January 11, 2030 - June 1, 2022

Qualifications

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Industry Experience

Software & Internet, Professional Services