As an experienced Python developer, I supervised the backend development of a real-time platform for the visitor experience, utilizing Django and Python to provide accurate control over room choices, tailored guest services, and smooth automatic check-ins. I incorporated PostgreSQL to securely maintain visitor data, guaranteeing fast data retrieval and providing personalized experiences.I used AWS services like EC2 for computation, S3 for scalable storage, and Lambda for serverless function… Show more As an experienced Python developer, I supervised the backend development of a real-time platform for the visitor experience, utilizing Django and Python to provide accurate control over room choices, tailored guest services, and smooth automatic check-ins. I incorporated PostgreSQL to securely maintain visitor data, guaranteeing fast data retrieval and providing personalized experiences.I used AWS services like EC2 for computation, S3 for scalable storage, and Lambda for serverless function execution to deploy the application and build a scalable, affordable architecture. I created RESTful APIs to provide real-time changes on reservations, sales, and events, facilitating seamless communication between the backend services and the guest mobile app.I used React.js to create interactive and responsive interfaces for online and mobile platforms, improving user experience overall in close coordination with the front-end team. Redis caching was another way I improved system performance by lowering database load and accelerating response times.I automated CI/CD pipelines with Jenkins and Docker, resulting in easy and consistent deployments across several environments, from development to production. In addition, I developed a microservices architecture to enable the autonomous growth and maintenance of core platform operations like as loyalty programs, booking administration, and user authentication. Show less

I designed a real-time analytics dashboard's backend using Flask as a Python developer, offering reliable API endpoints for data processing, ingestion, and visualization. In order to manage massive amounts of unstructured data and ensure quick retrieval and processing for analytics, I incorporated MongoDB.I used services like Compute Engine, Cloud Storage, and Cloud Pub/Sub to build a scalable architecture and enable real-time data streaming when I installed the application on Google Cloud… Show more I designed a real-time analytics dashboard's backend using Flask as a Python developer, offering reliable API endpoints for data processing, ingestion, and visualization. In order to manage massive amounts of unstructured data and ensure quick retrieval and processing for analytics, I incorporated MongoDB.I used services like Compute Engine, Cloud Storage, and Cloud Pub/Sub to build a scalable architecture and enable real-time data streaming when I installed the application on Google Cloud Platform (GCP). My job included using APIs to integrate with other data sources, processing data in real-time, and making sure it was accessible to front-end users.I improved the user experience by closely working with the frontend team to guarantee a smooth data flow and real-time changes on the dashboard using Angular. To improve API response times and performance, I put Redis caching into practice.Using Stackdriver for monitoring and Google Cloud Build for automated deployments, I was able to quickly resolve issues and maintain high application availability. In addition, I created a microservices architecture that separated the analytics system's multiple parts for easy maintenance and independent growth. Show less

I coordinated the backend development for a payment gateway connection, using Django to provide APIs that handled user administration, transaction tracking, and payment processing. For frequent transactions, I had to improve a MySQL database. Then, I had to implement the solution on Microsoft Azure using Azure SQL Database, which allowed for safe and effective data management.In order to ensure complete compliance with financial requirements, such as PCI DSS, I incorporated third-party… Show more I coordinated the backend development for a payment gateway connection, using Django to provide APIs that handled user administration, transaction tracking, and payment processing. For frequent transactions, I had to improve a MySQL database. Then, I had to implement the solution on Microsoft Azure using Azure SQL Database, which allowed for safe and effective data management.In order to ensure complete compliance with financial requirements, such as PCI DSS, I incorporated third-party payment processors like Stripe and PayPal. In addition, I worked directly with the frontend team to ensure that payment statuses were updated in real time on the user interface using Vue.js.Security was a primary issue, so I designed role-based access control (RBAC) to manage permissions and safeguard critical financial information. Using Azure Functions, I also established serverless, scalable processes for processing payments, which allowed me to save costs without sacrificing features.I set up load balancing and Azure API Management to efficiently handle API traffic in order to guarantee high availability and dependability. In addition, I configured Azure Monitor for monitoring and logging, which enables real-time tracking of system performance and payment activities. Azure Backup was used to set up automated backups and disaster recovery procedures to guarantee data integrity and business continuity. Show less

I created the Flask backend for a patient management system as a software developer, offering scalable and safe RESTful API endpoints for invoicing, appointment scheduling, and patient records. I implemented PostgreSQL to assure patient data security and compliance with healthcare laws such as HIPAA.I used serverless API management using API Gateway and AWS Lambda to build an affordable and scalable architecture. In addition, I effortlessly integrated AWS S3 with the backend to store and… Show more I created the Flask backend for a patient management system as a software developer, offering scalable and safe RESTful API endpoints for invoicing, appointment scheduling, and patient records. I implemented PostgreSQL to assure patient data security and compliance with healthcare laws such as HIPAA.I used serverless API management using API Gateway and AWS Lambda to build an affordable and scalable architecture. In addition, I effortlessly integrated AWS S3 with the backend to store and retrieve medical records in a safe manner. I contributed to the development of a mobile application that enabled seamless communication between users and backend services by closely collaborating with the frontend team and using React Native. Additionally, I enhanced telemedicine functionality by implementing WebSocket to facilitate real-time communication between physicians and patients. I set up the system using AWS Elastic Beanstalk, which made environment management easy and allowed for automated scalability. To ensure maximum security and availability, I used AWS IAM rules, VPC setups, and SSL certificates. Show less