Results-driven Back-End Developer with 5+ years of experience designing, implementing, and maintaining robust server-side applications and APIs. Expertise in Node.js, Python, and Java with a strong foundation in database design, system architecture, and cloud infrastructure. Proven track record of delivering scalable, high-performance solutions that drive business growth and enhance user experience. Adept at collaborating with cross-functional teams to translate business requirements into efficient technical implementations while ensuring security, reliability, and code quality.

Senior Back-End Developer

• Architect and develop microservices-based payment processing platform using Node.js, Express, and MongoDB that handles 2M+ daily transactions with 99.99% uptime and average response time of 80ms

• Lead implementation of comprehensive API security measures including OAuth 2.0, rate limiting, and input validation, reducing security incidents by 95% while maintaining compliance with PCI-DSS standards

• Mentor team of 4 junior developers through code reviews, pair programming sessions, and technical documentation, improving team velocity by 30% and reducing bug rate in production by 40%

Back-End Developer

• Developed and maintained RESTful and GraphQL APIs for cloud-based SaaS platform using Python, Django, and PostgreSQL, supporting 500K+ active users and processing 15TB of data monthly

• Implemented automated CI/CD pipeline with GitHub Actions, Docker, and AWS ECS that reduced deployment time by 75% and virtually eliminated deployment-related incidents

• Optimized database queries and implemented caching strategies that improved API response times by 60% and reduced infrastructure costs by $8K monthly

Software Engineer

• Built scalable data processing pipelines using Java, Spring Boot, and Apache Kafka that ingested and transformed 50GB of data daily for business intelligence platform

• Designed and implemented RESTful APIs that enabled seamless integration with third-party services, increasing platform adoption by 45% and expanding available data sources

• Collaborated with front-end team to optimize API contracts and data delivery patterns, reducing page load times by 35% and improving overall user experience

Master of Science in Computer Science

• Specialization: Distributed Systems and Database Management

• Thesis: 'Optimizing Microservice Communication Patterns for High-Scale Applications' - Developed novel approach that reduced inter-service latency by 40%

• Relevant Coursework: Advanced Algorithms, Distributed Systems, Cloud Computing, Database Systems, Machine Learning, Software Engineering

Bachelor of Science in Computer Engineering

• Honors: Magna Cum Laude; Dean's List (all semesters); Outstanding Computer Engineering Student Award

• Senior Project: 'Real-time Data Processing System for IoT Devices' - Built scalable backend that processed 10K+ events per second

• Relevant Coursework: Data Structures & Algorithms, Operating Systems, Computer Networks, Database Design, Software Development, Web Technologies

Distributed Payment Processing System

• Architected and implemented fault-tolerant payment processing system using Node.js microservices, MongoDB, and Redis that scaled to handle 3,000 transactions per second with sub-100ms latency

• Designed comprehensive error handling and recovery mechanisms that achieved 99.99% transaction success rate and automatic recovery for failed operations

• Implemented real-time monitoring and alerting system using Prometheus and Grafana that provided instant visibility into system health and performance metrics

Multi-tenant API Platform

• Developed secure multi-tenant API platform using Python, Django, and PostgreSQL that enabled client organizations to create and manage custom data models and workflows

• Implemented tenant isolation architecture that ensured complete data separation while maintaining efficient resource utilization, reducing infrastructure costs by 35%

• Created comprehensive API documentation and developer portal using Swagger and custom tooling that reduced integration time for new clients from weeks to days

Real-time Analytics Engine

• Built high-performance data processing engine using Java, Kafka, and Elasticsearch that ingested and analyzed 100M+ events daily with sub-second query response times

• Designed flexible aggregation framework that enabled users to create custom metrics and visualizations without requiring code changes or system downtime

• Implemented data retention and archiving system that reduced storage costs by 60% while maintaining query performance for frequently accessed data

AWS Certified Solutions Architect - Professional

• Advanced expertise in designing distributed systems on AWS infrastructure

• Proficiency in creating scalable, highly available, and fault-tolerant systems

• Knowledge of cost optimization, security best practices, and operational excellence

MongoDB Certified Developer

• Expertise in MongoDB schema design, query optimization, and indexing strategies

• Proficiency in developing applications using MongoDB's aggregation framework and data modeling techniques

• Knowledge of MongoDB performance tuning, replication, and sharding

Certified Kubernetes Administrator (CKA)

• Demonstrated ability to deploy and manage production-grade Kubernetes clusters

• Expertise in container orchestration, networking, security, and storage

• Proficiency in troubleshooting Kubernetes applications and cluster components

Open Source Contributor

• Contribute to Express.js core framework development, submitting bug fixes and performance improvements that have been incorporated into production releases

• Developed and maintained popular middleware packages for API security and rate limiting that have been downloaded over 500,000 times

• Participate in code reviews and technical discussions to help shape the future direction of the framework

Technical Writer

• Author technical articles on back-end development best practices, microservices architecture, and API design that have garnered 250,000+ views

• Create comprehensive tutorials on Node.js, Python, and database optimization techniques that help developers improve their skills and solve common challenges

• Engage with reader community through comments and follow-up articles, building a following of 15,000+ developers

Meetup Organizer

• Organize monthly meetups for 500+ member community, coordinating speakers, venues, and technical content focused on back-end development topics

• Deliver technical presentations on advanced topics such as API security, performance optimization, and microservices architecture

• Facilitate networking and knowledge sharing among local developers, creating opportunities for collaboration and professional growth