Vatsal is a Python Full Stack Developer with 7+ years of experience specializing in building scalable applications using Python, Django, and React. He has a strong background in AWS deployments and CI/CD processes.
Proven Full Stack capability with extensive experience in Python and React.
Strong expertise in AWS deployments and cloud-native architecture.
Implemented CI/CD pipelines with Docker, Kubernetes, and Jenkins.
Developed real-time data analytics solutions and interactive dashboards.
Led back-end development for secure data platforms and e-commerce systems.
Led ACE Security Product — corporate security platform managing CCTV footage + user reports + Python microservices as Backend Lead Developer
Built Growth Scan — BI for monitoring growth metrics + FastAPI backend APIs + data visualization for opportunity identification as Backend Developer
Built Construction Project Management — Django backend for real-time project reporting + resource allocation across multiple projects as Backend Developer
Built LMS — comprehensive Learning Management System with Angular front-end + Django backend + reusable components as Full Stack Developer
Built Real-Time Data Analytics Dashboard — Flask backend for logistics company tracking fleet + delivery time + interactive charts as Full Stack Developer
Led E-Commerce Platform backend with Python + Django + RESTful APIs for retail full-stack as Backend Lead Developer
Overview: Developed a security platform designed for corporate users. Responsibilities: Led back-end development using Python and deployed microservices on AWS for secure data collection and processing. Integrated PostgreSQL for secure data storage, implementing encryption and access control mechanisms. Developed RESTful APIs to communicate with third-party security tools, enabling real-time data exchange. Managed containerized deployment with Docker and ensured smooth performance through AWS monitoring tools.
Key outcomes:
Led back-end development for a corporate security platform
Implemented secure data storage with encryption and access control
Enabled real-time data exchange through API integrations
Ensured smooth performance via containerized deployment and AWS monitoring
Overview: A business intelligence platform designed to help companies monitor growth metrics. Responsibilities: Developed back-end APIs using FastAPI to manage user data, performance metrics, and automated reports. Used PostgreSQL for real-time data aggregation and analytics. Collaborated with front-end teams to integrate customizable dashboards built with React.js. Deployed the platform on AWS using Kubernetes for container orchestration, ensuring high availability.
Key outcomes:
Developed APIs for user data, performance metrics, and automated reports
Enabled real-time data aggregation and analytics with PostgreSQL
Integrated customizable React.js dashboards for data visualization
Ensured high availability through Kubernetes container orchestration on AWS
Overview: Developed a project management system for construction companies. Responsibilities: Developed back-end services using Django to manage real-time project reporting and resource allocation. Integrated REST APIs for collaboration with external financial tools and planning software. Deployed the system on AWS, utilizing Lambda for automated scheduled reporting.
Key outcomes:
Managed real-time project reporting and resource allocation with Django
Integrated external financial tools via REST APIs
Implemented automated scheduled reporting using AWS Lambda
Overview: Developed a comprehensive LMS for educational institutions and corporate training environments. Responsibilities: Built reusable components for course management and progress tracking using Angular. Integrated Django RESTful APIs for seamless data flow and user management. Deployed the application on AWS App Services and set up CI/CD pipelines using Jenkins.
Key outcomes:
Built reusable Angular components for course management and progress tracking
Ensured seamless data flow and user management with Django RESTful APIs
Deployed the application on AWS and established CI/CD pipelines with Jenkins
Overview: Developed a real-time analytics dashboard for a logistics company. Responsibilities: Designed back-end services using Flask for real-time data processing. Built interactive charts using React.js to visualize key logistics metrics. Integrated PostgreSQL to handle complex queries and large datasets. Deployed the solution on AWS, ensuring scalable and high-performance data analytics.
Key outcomes:
Designed Flask back-end for real-time data processing
Built interactive React.js charts for visualizing logistics metrics
Managed complex queries and large datasets with PostgreSQL
Deployed a scalable and high-performance data analytics solution on AWS
Vastal
Python Developer