Full Stack Developer In Retail Resume Example
Professional ATS-optimized resume template for Full Stack Developer In Retail positions
John Doe
Full Stack Developer | Retail Technology Specialist
Email: john.doe@example.com | Phone: (123) 456-7890 | LinkedIn: linkedin.com/in/johndoe | GitHub: github.com/johndoe
PROFESSIONAL SUMMARY
Innovative Full Stack Developer with over 7 years of experience delivering scalable web applications and omnichannel retail solutions. Adept at designing end-to-end systems that enhance customer engagement, optimize inventory management, and streamline order fulfillment. Proven ability to lead cross-functional teams, implement responsive UI/UX designs, and leverage emerging technologies like Progressive Web Apps and AI-driven analytics to foster retail growth. Passionate about building resilient, secure, and user-centric software tailored to dynamic retail environments.
SKILLS
Hard Skills
- Frontend: React.js, Vue.js, HTML5, CSS3, Bootstrap, Tailwind CSS
- Backend: Node.js, Express.js, Python (Django/Flask), RESTful API design
- Databases: PostgreSQL, MongoDB, Redis
- Cloud & Deployment: AWS (EC2, S3, Lambda), Docker, Kubernetes, CI/CD pipelines
- E-commerce & POS Integration: Shopify, Magento, Square APIs
- DevOps & Monitoring: Jenkins, Grafana, Prometheus
- Data & AI: TensorFlow, Spark, Business Intelligence tools
Soft Skills
- Agile & Scrum methodologies
- Strategic problem-solving
- Cross-functional collaboration
- User-centric design thinking
- Excellent communication & mentorship
WORK EXPERIENCE
*Senior Full Stack Developer | RetailTech Solutions, New York, NY*
June 2022 – Present
- Led the development of a Progressive Web App (PWA) platform that increased mobile conversion rates by 30% for a nationwide retail chain.
- Architected a microservices-based backend system on AWS, reducing system downtime by 40% and improving scalability during peak shopping seasons.
- Implemented AI-powered personalization modules using TensorFlow, resulting in a 20% uplift in cross-sell and upsell metrics.
- Collaborated with analytics teams to develop real-time dashboards, empowering executives with actionable insights.
*Full Stack Developer | ShopEase Commerce, San Francisco, CA*
March 2018 – May 2022
- Built a responsive web storefront with React and Node.js, supporting over 100,000 monthly users with high performance and security standards.
- Integrated third-party POS systems (Square, Shopify POS) into the platform, streamlining inventory updates and order processing.
- Developed automated testing pipelines with Jenkins and Docker, reducing deployment errors by 25%.
- Led a team of 4 developers through a successful migration from monolithic architecture to a containerized microservices architecture.
*Web Developer | Retail Innovations Inc., Los Angeles, CA*
January 2016 – February 2018
- Designed and maintained customer-facing websites with Vue.js, enhancing UX and loading speed by optimizing assets and code.
- Worked closely with UX/UI designers to implement accessible interfaces and improve overall customer satisfaction scores.
- Automated data ingestion workflows with Python scripts, reducing manual data entry errors and processing time.
EDUCATION
**Bachelor of Science in Computer Science**
University of California, Los Angeles (UCLA)
Graduated: 2015
CERTIFICATIONS
- AWS Certified Solutions Architect – Associate
- Certified ScrumMaster (CSM)
- Google Professional Machine Learning Engineer
PROJECTS
Omnichannel Retail Dashboard
Developed a centralized analytics platform integrating sales, inventory, and customer data across in-store and online channels. Equipped with AI-driven recommendations for inventory replenishment, resulting in a 15% reduction in stockouts.
Smart Checkout System
Led the creation of a contactless POS solution using QR code scanning and client-side apps, minimizing wait times and enhancing customer safety, adopted by multiple store locations nationwide.
Automated Inventory Management System
Built a backend automation tool leveraging Firebase and Python, reducing manual stock updates by 80%, ensuring real-time accuracy and better stock turnover.
TOOLS & TECHNOLOGIES
- React.js, Vue.js, Angular
- Node.js, Python, Django, Flask
- PostgreSQL, MongoDB, Redis
- AWS (Lambda, S3, EC2, RDS)
- Docker, Kubernetes
- Jenkins, GitHub Actions
- Elasticsearch, Kibana
LANGUAGES
- English (Fluent)
- Spanish (Conversational)
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