Python Script for Stock Data Manipulation

I'm looking for a skilled Python programmer to create quick and customizable scripts for manipulating stock market data.

Key tasks:
- Data Download: Using Yahoo Finance to download ticker data for a daily time-frame.
- Data Aggregation: Matching and adjusting ticker data with process inflation ratios on a monthly
- Data Transformation: Interpolating monthly CPI data to daily rates and altering the data into a suitable format for analysis.

The script will be validated and manipulated in Jupyter Notebook. I'm not well-versed in Python.
A skillful programmer could complete this task in under 2 hours.

I need recommendations for adjusting the data for inflation. Ideal candidates should have:
- Proficiency in Python, particularly in creating scripts for data manipulation.
- Experience with Jupyter Notebook.
- Knowledge of stock market data and inflation adjustments.
- Ability to provide recommendations based on their expertise.


Libraries::

import yfinance as yf
import pandas as pd
import cpi # Using the cpi package to adjust for inflation