Database Engineer in Python using Pandas in Jupyter Notebook
Budget: $12 – $17 USD
Creating a data warehouse with ETL's being done in Python. Data is loaded from a MySQL server, ETL'd in Python and dumped into a Postgres Server where the data warehouse is being constructed.
The ETL's use Pandas for the transformations. Basic to Intermediate knowledge of database transformations like joins, groupby, concats, shifts/lags is required. However, any established python developers with a basic knowledge of database design and programming should be able to navigate/research/google what is required.
The ETL's use Pandas for the transformations. Basic to Intermediate knowledge of database transformations like joins, groupby, concats, shifts/lags is required. However, any established python developers with a basic knowledge of database design and programming should be able to navigate/research/google what is required.