Advanced Python Data Transformation Tool

**Project Title: Python Data Mapping and Data Transformation Automation**

I am looking for a Python developer to build a data mapping and transformation solution that can read data from CSV, Excel, JSON, or SQL sources, map source fields to target fields, transform data according to predefined business rules, and generate clean output files or load the results into a database.

**Requirements:**
- Develop Python scripts using Pandas for data mapping and transformation.
- Map source columns to target columns based on mapping rules.
- Handle missing values, duplicate records, data type conversions, and invalid data.
- Perform data cleansing, validation, and error handling.
- Support CSV, Excel, JSON, and SQL data sources.
- Generate transformed output files and validation reports.
- Write reusable, well-documented, and maintainable code.

**Expected Deliverables:**
- Complete Python source code.
- Configurable source-to-target mapping rules.
- Sample input and output files.
- Data validation and error-handling logic.
- Setup instructions and documentation.

Please share your approach, estimated delivery time, and relevant experience with Python, Pandas, SQL, and ETL/data engineering.