Debjyoti Chattopadhyay

Software Engineer

Hyderabad, Telangana, India3 yrs 10 mos experience

Key Highlights

Expert in Java with strong OOP skills.
Developed systems handling over 300 million messages daily.
Proficient in cloud technologies and CI-CD pipelines.

Stackforce AI infers this person is a Backend Engineer specializing in Cloud Computing and Messaging systems.

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Skills

Core Skills

Java

Other Skills

AWS SQSCI-CDCascading Style Sheets (CSS)Data StructuresDatabase MYSQLDockerEnglishExpress.jsHTMLJAX-RSJerseyLambdaMavenMongoDBMultithreading

About

I am currently harnessing my expertise in Java as a Software Engineer . My core competencies lie in Object-Oriented Programming (OOP) to build robust, scalable systems. At Gupshup, our team has successfully developed and maintained high-throughput, low-latency systems, processing over 300 million messages daily. We've embraced collaborative innovation, leveraging RabbitMQ and Redis to enhance system efficiency and reliability. My commitment to refining our technological landscape aligns with our organizational culture, contributing to a diverse, forward-thinking team.

Experience

3 yrs 10 mos

Total Experience

2 yrs 3 mos

Average Tenure

1 yr 7 mos

Current Experience

Bct consulting

Software Engineer

Nov 2024 – Present · 1 yr 7 mos · Hyderabad, Telangana, India · On-site

1. Working in Amazon pay team via BCT
2. Developed end to end application in java using AWS SQS,Lambda,DLQ (CDK)to copy logs across different aws account to a particular region. This is being used by multiple services for data localisation purpose.
3. Have resolved security risks for multiple services

AWS SQSLambdaJava

Gupshup

2 roles

Software Engineer

Jul 2022 – Oct 2024 · 2 yrs 3 mos

Worked on developing and maintaining a high-throughput low latency system (in Java) that handled 300 million plus messages on a daily basis.
Developed micro application (in Java) for providing useful analytics data to other teams, dockerized the same and deployed
on production.
Developed asynchronous work-flow to reduce data loss using RabbitMQ cluster and used rate limiters using Bucket4J for
controlling message-flow rates.Integrated Redis cache into application for faster retrieval of message-Id across the distributed
system.
Optimized and refactored code and made bug-fixes to improve code readability and functionality.
Delivered technical RCA on bugs that arose in production and made documentations for major changes in workflow.Worked across teams to resolve
such bugs.
Monitored tomcat behaviour using Visual VM (on receiving high traffic) and took necessary actions like manual garbage-cleanup to reduce latency.
Worked in collaboration with dev-ops teams for infra related activities (AWS) as and when required.
Developed CI-CD pipelines in git-lab to deploy artifacts on tomcats running on production.
Have optimized workflows with extensive use of multi-threading strategies.