Python Backend Developer

I am a results-driven Python Backend Developer with 6 years of experience designing, building, and optimizing scalable backend systems and serverless architectures on AWS. I hold a B.Sc. in Software Engineering and am a Certified AWS Associate Developer. My passion lies in writing clean code, optimizing performance, automating processes, and fostering cross-functional collaboration to drive business value.

Throughout my career, I have owned the end-to-end development and maintenance of approximately 10 serverless microservices on AWS, ensuring 99.9%+ availability for a high-traffic direct-to-consumer e-commerce platform. I have implemented new business-critical features and extended existing services by integrating third-party systems such as Adyen for payments, Mirakl for marketplace, and Precisely for address validation.

I significantly improved the quality of the Payment Service by introducing comprehensive end-to-end tests using Selenium, which reduced regression bugs in production substantially. I automated infrastructure provisioning and deployments using AWS CDK and Azure DevOps pipelines integrated with Jenkins, accelerating release cycles and minimizing manual errors.

In addition to development, I conduct code reviews, mentor junior developers, participate in Agile ceremonies, and present features to stakeholders, contributing to consistent on-time delivery. I have also developed and maintained a Django-based backend for a large-scale real estate catalog platform, enhancing user experience by implementing new features and resolving bugs.

I optimized website performance and listing management processes, resulting in faster page loads and improved operational efficiency for property brokers. I collaborated on frontend-backend integration using JavaScript, HTML, and CSS. More recently, I designed and maintained backend services for Store Intelligence, an AI-powered retail analytics platform, optimizing PostgreSQL database schemas and queries to reduce report generation time by up to 40%.

I architect scalable AWS-based data pipelines for real-time ingestion, processing, and storage of high-volume retail insights. I develop and expose secure RESTful APIs for data ingestion and insight visualization, facilitating seamless integration with frontend and mobile applications. I work closely with data scientists, frontend engineers, and product teams to deliver features that enhance retail decision-making and operational efficiency.

I have implemented performance monitoring and alerting systems that significantly reduce incident response time and improve platform reliability. My technical skills include Python, Django, AWS serverless technologies, PostgreSQL, DevOps tools, and testing frameworks, all of which I leverage to deliver high-quality backend solutions.