Prateek Sahu

Backend Engineer

Kanpur, Uttar Pradesh, India4 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Node.js with strong database management skills.
Achieved 80% automation test coverage, enhancing code quality.
Proven track record in improving application performance significantly.

Stackforce AI infers this person is a Backend Developer specializing in SaaS solutions with a focus on performance optimization.

Contact

prateeksahu956@gmail.com LinkedIn

Skills

Core Skills

Node.jsPostgresqlDevops

Other Skills

AngularJSBack-End Web DevelopmentDistributed SystemsGitJavaScriptJestKubernetesScrumSkill DevelopmentSoftware DevelopmentSoftware Development Life Cycle (SDLC)Test AutomationTypeScript

About

I am an experienced backend developer in Node.js with a proven ability to handle complex issues related to concurrency and database integrity, resulting in minimal production issues. I am skilled in researching and implementing successful migration strategies to improve code quality, and identifying and resolving design issues to improve overall application performance. My technology interests include Distributed Systems, TypeScript, Node.js, AngularJS, Back-End Web Development, JavaScript, Git, Software Development, PostgreSQL, and Jest. I have a passion for quality, having led the effort to increase automation test coverage to 80% and added clean methods and API documentation to improve code quality. I possess a wealth of experience and expertise and am confident in my ability to exceed client expectations

Experience

Infosys

2 roles

L2 specialist programmer

Promoted

Jul 2024 – Present · 1 yr 8 mos · Gurugram, Haryana, India

PostgreSQLNode.jsSoftware Development Life Cycle (SDLC)DevOpsAngularJSTest Automation+10

Specialist programmer

Sep 2021 – Jun 2024 · 2 yrs 9 mos · Gurugram, Haryana, India

Successfully addressed concurrency issues and implemented a robust solution, ensuring database integrity and minimizing production issues.
Redesigned the database structure, resulting in a 20% improvement in query performance and enhanced overall efficiency.
Conducted extensive research on migration strategies and implemented a suitable approach, resulting in a 30% reduction in migration-related errors and improved code quality.
Identified and resolved design flaws, resulting in a significant reduction of API call delays by 50% and achieving a 3x improvement in application performance.
Created comprehensive documentation for methods and APIs, resulting in a 40% reduction in onboarding time for new developers and facilitating easier code maintenance.
Contributed to the DevOps section by automating manual processes, including vulnerability scanning, reducing the average vulnerability identification time by 70% and updating images promptly to address any identified vulnerabilities.