I am a highly skilled Python Developer with 3 years of experience building and optimizing backend systems for performance and scalability. My expertise lies in developing APIs using FastAPI and Django, managing databases like MongoDB and SQL, and implementing real-time data processing solutions using RabbitMQ and MQTT.

Key Skills:

1. API Development: Proficient in creating secure and high-performance RESTful APIs with FastAPI and Django, ensuring seamless integration with frontend systems.
2. Database Management: Extensive experience with SQL and NoSQL databases, optimizing complex queries, and managing large datasets (3M+ entries) for fast data retrieval.
3. Real-time Systems: Built real-time data processing systems for fintech and e-commerce platforms, handling live updates and ensuring smooth data flow.
4. Data Scraping: Developed and optimized data scraping solutions using Python libraries like BeautifulSoup and Scrapy, processing large volumes of data from various sources for analysis and system integration.
5. System Optimization: I’ve reduced database query times by up to 50%, improved system performance, and resolved performance bottlenecks to ensure scalability.
6. Testing & Debugging: Strong focus on code quality with Pytest-based testing, helping reduce production issues by 30%. Active participation in code reviews to enhance system reliability.
7. Deployment & DevOps: Experience with Docker for containerizing applications, and deploying them on cloud platforms like DigitalOcean. Familiar with CI/CD pipelines for automated deployments.

Notable Projects:

1. Attendance Management System: Developed a FastAPI-based attendance system with image capture for real-time attendance marking, integrated JWT for authentication, and role-based access for managers and staff.
2. E-commerce API: Optimized product filtering using MongoDB’s aggregation pipeline with optional pricing filters, leading to faster query response times in a high-traffic e-commerce platform.
3. Real-time Stock Data: Built a system using RabbitMQ and MQTT to process live stock data, ensuring real-time updates in a fintech app, improving data delivery efficiency.
4. Data Scraping Project: Built a large-scale data scraping solution using Python’s BeautifulSoup and Scrapy, gathering data from various sources, cleaning it, and storing it in a MongoDB database for further processing and analysis.

I am passionate about building scalable, efficient systems and solving complex problems through technology. My focus is on delivering high-quality, reliable solutions that meet business needs and support growth. Let’s collaborate to drive innovation in your organization!