Deven Paramaj

Software Engineer

Bengaluru, Karnataka, India2 yrs 7 mos experience

Key Highlights

Proven expertise in backend development with Node.js and MongoDB.
Successfully developed ETL pipelines enhancing data processing efficiency.
Strong problem-solving skills demonstrated in various engineering roles.

Stackforce AI infers this person is a Backend Developer specializing in Data Engineering and Software Development.

Contact

Skills

Core Skills

Python (programming Language)Node.jsExtract, Transform, Load (etl)

Other Skills

SplunkMongoDBData WarehousingTypeScriptGoogle APIGoogle Apps ScriptFirebaseRabbitMQDockerElasticsearchRoot Cause AnalysisHadoopGo (Programming Language)SQLReact.js

About

I am a passionate learner, a problem solver, and a self-motivated individual who strives for excellence in the work field I engage in. Skilled in Backend Development and Automation (Python, NodeJs, Google APIs, MongoDB, SQL, RabbitMQ). Open-mindedness is a core value I believe in.

Experience

2 yrs 7 mos

Total Experience

2 yrs 6 mos

Average Tenure

1 mo

Current Experience

Stripe

Software Engineer

May 2026 – Present · 1 mo · Dublin, County Dublin, Ireland · On-site

American express

2 roles

Engineer II

Aug 2025 – Mar 2026 · 7 mos · Hybrid

Engineer I

Aug 2023 – Jul 2025 · 1 yr 11 mos · Hybrid

Python (Programming Language)Splunk

Ttc india

Backend Developer

Nov 2022 – Jan 2023 · 2 mos · Bengaluru, Karnataka, India

Engaged in a contract with my College to build a Course Registration Portal incorporating the new VTU scheme.
Designed and implemented backend APIs using Node.js and MongoDB Transactions for the course registration.
Completed the registration for about 1500 students with no lags, ensuring a seamless registration process.

MongoDBNode.js

American express

Technology Intern

Jul 2022 – Aug 2022 · 1 mo · Karnataka, India · Hybrid

Contributed to developing and optimizing ETL pipelines for large-scale data processing tasks.
Developed a Generic Data Quality Checks package compatible with any table and database.
Made the package easily extendable to add other data quality checks and metrics.
Enhanced efficiency by 70% by allowing custom selection of necessary checks with custom metrics.

Extract, Transform, Load (ETL)Data Warehousing