Gate04 - Flight Ticket Price Analysis Application
At Gate04, my primary objective was to develop an application capable of:
- Analyzing Flight Ticket Prices: Sifting through thousands of data points daily to identify affordable flight tickets using statistical analysis.
My Role
As the Cloud Architect and Full Stack Developer, my responsibilities included:
- Planning and Architecting the Application: From data ingestion to processing, I designed the entire system.
- Developing Frontend and Backend: Building the user interface as well as the server-side functionality.
Technologies Used
The project utilized:
- Cloud Services: Google Cloud and Firebase for scalable cloud infrastructure.
- Programming Languages: Python for data processing and Svelte for frontend development.
- Data Analysis Tool: BigQuery, for handling large-scale data analysis efficiently.
Challenges and Solutions
The primary challenge was:
- Cost Optimization: Keeping operational costs minimal while processing vast quantities of data. This was achieved by leveraging various Google Cloud products and event-driven architectures.
Outcomes and Impact
The implementation led to:
- A drastic reduction in operational costs from hundreds of dollars per week to approximately one dollar, without compromising performance.
- Effective and efficient processing of large data sets, demonstrating my ability to optimize costs while maintaining high performance levels.
This project highlighted my expertise in building high-performance, cost-effective cloud solutions, delivering both technical excellence and significant financial savings.
