Gagan Deep Singh

Software Engineer

Bengaluru, Karnataka, India3 yrs 11 mos experience

Key Highlights

Led backend development for major metro functionalities.
Developed high-traffic RESTful APIs for ticketing services.
Proficient in a diverse tech stack including Java and AWS.

Stackforce AI infers this person is a Backend Engineer with expertise in Fintech and scalable microservices architecture.

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Skills

Core Skills

JavaAwsNodejs

Other Skills

Amazon Web Services (AWS)Database Management System (DBMS)JavaScriptRedisMySQLElasticsearchJava SpringbootKafkaCassandraMobile Application DevelopmentPHPMongoDBSpringMicroservicesProgramming

About

Experienced software engineer with over two years of expertise in designing, implementing, and maintaining robust backend solutions within a fast-paced environment . Skilled in a diverse tech stack including Java, Spring/Springboot, JavaScript (Node.js) , Spring boot, Python, Redis, MySQL, AWS, Cassandra, Kafka , with additional experience in Redis and Elasticsearch. Recognized for swift adaptation to emerging technologies and good problem-solving and debugging abilities.

Experience

3 yrs 11 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 2 mos

Current Experience

Adobe

Member of Technical staff 2

Apr 2025 – Present · 1 yr 2 mos · On-site

JavaAmazon Web Services (AWS)AWS

Myntra

Software Engineer

Jul 2024 – Apr 2025 · 9 mos · Bengaluru, Karnataka, India · Hybrid

JavaDatabase Management System (DBMS)

Paytm

Software Engineer - Backend

Jun 2022 – Jun 2024 · 2 yrs

Developed and maintained RESTful API service for Metro QR Ticketing with over 100k Daily active using
NodeJS, Redis , MySQL and Elasticsearch .
Lead the backend development for the successful launch of Delhi
Metro, Bengaluru Metro, and Chennai Metro functionalities on the Paytm App leading to user growth of 50%.
Worked on integration of ONDC Protocol to enable Kochi Metro QR Ticket booking through ONDC on Paytm App
Designed, implemented, and maintained various backend microservices dealing with around 100M records daily
enabling timely notifications and Bill Reminders for tens of millions of users using Java Springboot,
Kafka,Cassandra and MySQL.
Played a pivotal role in scaling and optimizing these micro-services to handle growing traffic.Re-architected to
enable parallelization and on boarded the services to AWS Auto Scaling Groups to ensure scalability
Added Metrics to the services, created alerts and dashboards using Grafana and Prometheus to ensure Time to
detect any critical issues is ≤ 5 min
Worked with Kibana and Linux shell to debug production issues. Also worked with Jenkins for deploying
applications.