• Python Full Stack Developer with 5+ years of experience delivering scalable web applications, APIs, and automation solutions across fintech and enterprise domains.
Experience
2024 — Now
Built and enhanced RESTful APIs with Python Django, enabling seamless integration for payment flows and improving transaction processing efficiency by 28% across merchant-facing applications.
Designed responsive UIs using React.js and TypeScript, streamlining customer onboarding workflows and increasing completion rates by 21% across self-service sign-up journeys.
Automated financial data validation pipelines using Python Pandas and PostgreSQL, reducing manual reconciliation time by 35% and ensuring greater accuracy for compliance reporting.
Migrated critical services to AWS Lambda and Kubernetes, improving scalability during peak traffic surges and achieving 99.97% service availability across global payment systems.
Partnered with security engineers to integrate OAuth2 and SAML authentication, strengthening identity management and reducing fraud risks in high-volume merchant platforms.
Implemented caching strategies with Redis, reducing average API response latency by 32% and ensuring smoother user experiences for real-time payment status tracking.
Built CI/CD pipelines using Jenkins, Docker, and Terraform, enabling faster deployments and reducing release rollbacks by 26% across core payment applications.
Developed end-to-end test suits with PyTest, Selenium, and Jest, cutting post-release production bugs by 22% and improving customer trust in payment reliability.
Optimized PostgreSQL queries and indexes, reducing transaction query execution times by 37% and boosting efficiency of fraud detection pipelines.
Integrated real-time event processing with Apache Kafka, enabling faster reconciliation of cross-border transactions and reducing settlement delays by 18%.
2020 — 2023
Banglore
Developed over 25 interactive Tableau dashboards to visualize revenue performance, regional P&L trends, sales pipeline Built responsive web applications using Python, Django, React.js, and REST APIs, enabling smoother client data workflows and reducing manual operations by 30% in financial domain projects.
Developed and maintained end-to-end modules in a microservices architecture with Flask, PostgreSQL, and Docker, ensuring scalability and boosting application performance by 25% for retail clients.
Collaborated with senior developers in Agile/Scrum teams, participated in sprint planning, and delivered user stories on time, improving on-time delivery rate from 82% to 95%.
Designed RESTful APIs for payment gateway integration, using Django REST Framework, enhancing transaction success rate and enabling seamless e-commerce checkout experience for 50K+ users.
Implemented unit and integration tests with PyTest and Selenium, automating regression testing and reducing QA cycle time by 40% across two large-scale applications.
Assisted in database design and optimization using PostgreSQL and MySQL, creating efficient indexing strategies that improved query performance by 20% in client analytics systems.
Deployed applications on AWS EC2, S3, and Lambda with CI/CD pipelines in Jenkins, accelerating deployment frequency from monthly to bi-weekly without downtime.
Enhanced front-end UI/UX with React.js, JavaScript, and Bootstrap, improving user engagement and reducing customer complaints by 18% for internal HR management tool.
Created interactive dashboards in Python with Flask and Chart.js, giving stakeholders real-time insights into customer onboarding KPIs, which improved decision-making efficiency.
Documented project workflows, participated in code reviews and peer mentoring, contributing to knowledge sharing and improving junior developer onboarding time by 25% within the team.
Education
2022 — 2023
University of Bridgeport
Master of Science in Computer Science
2022 — 2023
2016 — 2020
Andhra University
Bachelor of Technology in Computer Science
2016 — 2020