Looking for a job

Priyanka Ganesh

@priyankaganesh

Senior Java Backend Engineer at Renault Nissan Technology Business Centre India, who migrated a legacy .NET application to Java/Spring Boot.

India

Message

What I'm looking for

I'm open to international relocation, including the UAE, and require an employer-sponsored UAE work visa.

At Renault Nissan Technology Business Centre India Pvt Ltd, I led the migration of a legacy .NET application to Java and Spring Boot, improving system performance by 40%. I also upgraded applications from Java 8 to Java 17.

I led a MySQL-to-PostgreSQL migration with zero data loss and minimal downtime, and implemented GCP monitoring, logging, and CI/CD automation. I also optimized cloud resource utilization, reducing operational costs by 30%.

At Tata Consultancy Services, I developed a Java EE and AngularJS IoT application using Apache Kafka that processed more than 100,000 messages per day. I also served as Team Leader for a B2C e-commerce application supporting more than 50,000 daily transactions.

Experience

Work history, roles, and key accomplishments

Current

Senior Engineer

Current

Renault Nissan Technology Business Centre India Pvt Ltd

Jan 2022 - Present (4 years 9 months)

Led migration of a legacy .NET application to Java/Spring Boot, improving system performance by 40%. Implemented GCP capabilities including Cloud Logging, Cloud Monitoring, and CI/CD pipeline automation, and optimized cloud resource utilization reducing operational costs by 30%.

Java Spring Boot PostgreSQL MySQL GCP Cloud Logging Cloud Monitoring CI CD Angular D3.Js HighCharts Docker Maven Git Unix Linux Shell Scripting Test Driven Development Agile Scrum Code Review Technical Mentoring

IT Analyst

Tata Consultancy Services

Jan 2016 - Jan 2022 (6 years)

Developed a scalable IoT application using Java EE, AngularJS, and Apache Kafka, processing 100,000+ messages per day. Served as Team Leader for a B2C e-commerce application supporting 50,000+ daily transactions, reducing production defects by 35% and deployment time by 50%.