Headline

Angular Developer | Built Disney’s Resort Reservation UI | Angular | AWS · TypeScript · Node.js | Open to Opportunities

About

I've spent the last 4 years making sure Disney guests never see a broken booking page. As a Frontend Developer at Capgemini, I own the Angular UI of the Disney Resort Reservation Application — a globally distributed, high-traffic platform where downtime isn't an option and performance directly impacts millions in revenue. Here's what that looks like in practice: → Resolved 350+ production incidents, maintaining 99.9% SLA compliance across peak holiday seasons → Led an AWS infrastructure migration that reduced cloud costs by 25% → Built a Selenium-based CI/CD automation pipeline that improved deployment reliability by 20% I don't just write clean code — I write code that survives production. My stack: Angular 10/12 · TypeScript · Node.js · REST APIs · AWS · Splunk · Selenium My certs: AWS Certified Cloud Practitioner (CLF-C02) · Microsoft Azure Fundamentals (AZ-900) But what I bring beyond the stack is a production mindset — I've debugged critical failures at odd hours, shipped features under pressure, and built systems that scale. That experience changes how you write code. I'm currently exploring frontend-focused roles where I can own meaningful UI systems, collaborate with strong engineering teams, and keep building things that matter. If that sounds like a fit — let's talk. 📩 bisenrajat.21@gmail.com

Location

Akola

Work experience

Associate Consultant at Capgemini, Nov 2024 - Present · 1 yr 7 mos, Pune District, Disney Resort Reservation Application | Angular · TypeScript · AWS Architected and maintained the Angular frontend for Disney's Resort Reservation platform, supporting millions of concurrent users during peak holiday seasons with <1% downtime Spearheaded cross-functional incident response, resolving 350+ production issues and sustaining 99.9% SLA compliance — directly protecting revenue continuity for one of the world's largest entertainment brands Drove cloud cost optimization by leading an AWS infrastructure migration that cut hosting costs by 25%, freeing budget for feature development Established a Selenium-based automated testing pipeline integrated into CI/CD, reducing post-deployment defects by 20% and accelerating release cycles.

Senior Analyst at Capgemini, Nov 2022 - Nov 2024 · 2 yrs 1 mo, Mumbai, Maharashtra, India, •As an Associate Software Engineer at Capgemini Engineering, I've embarked on an exhilarating journey through the digital realm, crafting solutions that bridge the gap between imagination and reality. My role has been a thrilling blend of innovation and precision, where I've Unleashed the power of Node.js and JavaScript to craft web applications that aren't just functional but awe-inspiring in their robustness. •Crafted user experiences like an artist, thanks to angular.js, infusing each interface with dynamism and user-friendliness. •Delved into the depths of data, uncovering gems of insight that have illuminated our path forward, driving smarter, strategic decisions. In my role, I've been at the frontier of technology, creating digital symphonies that resonate with business growth and efficiency. My passion for software development is matched only by my eagerness to learn and adapt, ensuring I stay at the forefront of the ever-evolving tech landscape. •Let's connect and explore possibilities in the dynamic world of software engineering and data analysis. Together, we can shape the future, one innovation at a time. #Software Engineering #DataAnalysis #InnovationMatters

Analyst at Capgemini, Mar 2021 - Nov 2022 · 1 yr 9 mos, Mumbai, Node.js · JavaScript · Angular · Data Analysis Built and maintained Node.js backend services supporting high-volume API requests, achieving consistent sub-200ms response times Developed reusable Angular component libraries adopted across 3 internal projects, reducing UI development effort by an estimated 15% Contributed to data analysis workflows that surfaced actionable insights, informing product decisions and improving feature prioritization accuracy by 25%

Education

B.E, Computer Science, Savitribai Phule Pune University