Hi, I'm Samuel, a junior data engineer with hands-on experience building ETL pipelines in Python and SQL. I focus on clean, modular code and clear documentation so you can run and understand your pipeline with confidence. I communicate openly about what is feasible and deliver exactly what we agree on — no surprises.

**What I will do (basic service)**
I will build a custom Python script that extracts data from a source you provide (CSV file, JSON file, or a public API), applies the cleaning and transformation rules we agree on, and loads the result into a destination you specify (e.g., a PostgreSQL database or a new CSV file). I will include basic data quality checks (e.g., handling missing values, removing duplicates) and a short README explaining how to run the script.

**What you will receive**
- A Python script (using Pandas) that performs the ETL steps we agree on.
- A sample output file or database table populated with the transformed data.
- A README file with setup instructions, required libraries, and how to execute the script.
- All deliverables sent as a ZIP archive via ComeUp messaging.