DB-to-DB Data Transfer with Python

What you’ll build

A Python script that reads from a source database (PostgreSQL or SQLite), transforms with Pandas, and writes to a target database. Simple on the surface — but this pattern is the core of every ETL pipeline in production.

Skills you’ll practice

• SQLAlchemy connections to relational databases
• Pandas: reading SQL into DataFrames, chunked loading
• Writing DataFrames back to SQL with to_sql
• Handling schema differences between source and target