Data Pipeline Improvements with 4170 Trading
Session Number
Project ID: BIZ INTRN 02
Advisor(s)
Kyle Campbell; 4170 Trading
Discipline
Business
Start Date
19-4-2023 9:05 AM
End Date
19-4-2023 9:20 AM
Abstract
4170 Trading is a financial trading firm. For my internship, I worked on several projects that helped their efficiency and reliability. For the first semester, I worked on a data pipeline improvement, in which I created an automated program for automatically updating and downloading a set of products to trade. After that, I created an announcement system using the Discord API and HTTP POST requests, then I added on a program and website to automatically check whether a set of servers had crashed and alerts the Discord announcement system if one had. All of these projects used Python, and the more recent ones used Flask and Docker, testing out a new CI/CD and website deployment system that they had been working on. These projects benefited the company by making their systems more reliable, more feature-rich, and require less manual work to keep running.
Data Pipeline Improvements with 4170 Trading
4170 Trading is a financial trading firm. For my internship, I worked on several projects that helped their efficiency and reliability. For the first semester, I worked on a data pipeline improvement, in which I created an automated program for automatically updating and downloading a set of products to trade. After that, I created an announcement system using the Discord API and HTTP POST requests, then I added on a program and website to automatically check whether a set of servers had crashed and alerts the Discord announcement system if one had. All of these projects used Python, and the more recent ones used Flask and Docker, testing out a new CI/CD and website deployment system that they had been working on. These projects benefited the company by making their systems more reliable, more feature-rich, and require less manual work to keep running.