Data Engineering beginner ⏱ 4–6 hours
DB-to-DB Data Transfer with Python
Read data from a relational database into Pandas DataFrames and write it to another database — the foundation of every ETL pipeline.
PythonPandasSQLETL
View project on GitHub
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
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