Personal Portfolio
This is a personal project designed to demonstrate the integration of a real world use case, web development and data processing techniques. The web application works on top of Canadian stock market data, collected, transformed, and presented using modern web technologies, backend ETL workflows and AWS cloud services. This is not a commercial project and has no intent to serve as investment advice.

Application Content

• Over 300 companies to compare its stock valuation.
• Comparison of the past 4 years of dividend cash distribution.
• A list showing all dividend information.
• Simulate expected dividends based on the amount you plan to invest.
• Simulate how much you need to invest to earn a specific dividend amount.
• Download a CSV file with over 100 fields for each of the 300+ companies listed at TSX.

Front-end

• Languages: HTML, CSS, JavaScript.
• Frameworks/Libraries: Bootstrap 5.
• Visualization Tools: Embedded charts, interactive tables.

Backend

• Languages: Python 3.
• ETL Frameworks: AWS boto3 and Pandas.
• Third party APIs: yahooquery to fetch uptodate data.
• Scheduling: AWS EventBridge.

Cloud Infrastructure

• AWS Services:
• S3 for storage.
• Lambda function to pull stock market data.
• Lightsail Linux instance for hosting.
• Route 53 for domain registration/configuration.
• Gunicorn (WSGI HTTP server to run Python web applications in production environments).
• NGINX (web server that also works as a reverse proxy to handle static content and forward requests to backend servers).
• Certbot (command-line tool to automate the issuance and renewal of free SSL certificates from Let’s Encrypt).