Need Data Engineer to Automatically Pull Real Estate Data from API using Python
Budget: $30 – $250 USD
Hello Freelancers!
I am looking for a Data Engineer that can create a data cloud environment from start to finish.
Objective:
Pull Real Estate Financial Data from Quandl API to store in cloud on an automated basis. End-Use case for this data will be to run AI analysis on Jupyter Notebook, publish on website, and create BI visualizations.
Tasks:
Automatically pull data (Daily, Weekly, Monthly, Quarterly and Yearly basis depending on the data set) from an API using Python. Goal is to store this data in a data warehouse in which you will setup and create. This data warehouse can be Snowflake, AWS, or Google Cloud which ever one is most cost effective and easy to use.
Data API Source:
https://data.nasdaq.com/databases/ZILLOW/data
I am a data engineer that wants to explore RE data but seeking an expert to setup the entire environment, therefore, I am technical and can provide help as well.
On-going support will be needed when future datasets are required. Thanks!
I am looking for a Data Engineer that can create a data cloud environment from start to finish.
Objective:
Pull Real Estate Financial Data from Quandl API to store in cloud on an automated basis. End-Use case for this data will be to run AI analysis on Jupyter Notebook, publish on website, and create BI visualizations.
Tasks:
Automatically pull data (Daily, Weekly, Monthly, Quarterly and Yearly basis depending on the data set) from an API using Python. Goal is to store this data in a data warehouse in which you will setup and create. This data warehouse can be Snowflake, AWS, or Google Cloud which ever one is most cost effective and easy to use.
Data API Source:
https://data.nasdaq.com/databases/ZILLOW/data
I am a data engineer that wants to explore RE data but seeking an expert to setup the entire environment, therefore, I am technical and can provide help as well.
On-going support will be needed when future datasets are required. Thanks!