Financial Data Pipelining, Post Processing and Visualization for a Progressive Web Application

Hi all, I am Ping and an enthusiast for the data science and stock market. Due to my passion for presenting the potentials of stock market data using data science, I would like to make a progressive web application that is freely accessible for people to gain some graphical insights on the potential stocks. Purpose of the Progressive Web application A lot of people do not have the fundamental knowledge for investing the right stocks for their future asset value appreciation. This website is going to present visual diagrams for readers to have some gut feelings on the potential of the stocks. This website will pipeline all the data from third-party websites, post-process the data and show a visualization of the stock market data in common people’s language. The website must be graphical, not too many words like the websites below, one table of pictures that speaks everything for the stock investment decision using our secret formula. Examples of the competitor website that are full of texts and are not obvious for common people 1. [login to view URL] 2. [login to view URL] There are too many texts in this website, not many normal people like us have time to read and even understand the text. Normal people prefer to see graph. Examples of the website for visualization which to be adapted on our post-processed financial data 1. [login to view URL] I am looking for a data engineer with some fundamental in progressive web application development for these following tasks: 1. Setting up the ETL database on the web host after data pipelining using Python API as documented from [login to view URL] The database will be updated on daily basis using this Python API. 2. Post-process data for data visualization on the progressive web application. The visualization can be selected within a time frame defined by the web application users. Thank you very much. Best regards, Ping