I will build an automated Python ETL data pipeline

Stop wasting hours manually parsing files, cleaning spreadsheets, or moving data across fragmented systems. I will design and deploy a production‑grade, local Python ETL pipeline that runs entirely on your infrastructure—no cloud dependencies, no recurring SaaS fees.

What’s included:

Automated extraction from multi‑format logs, CSVs, or legacy text files

Data sanitisation and validation (bad or malformed rows automatically flagged)

High‑speed transformation using DuckDB (processes 1M+ rows in under a second without loading into RAM)

Clean, structured insertion into your PostgreSQL database with idempotency guarantees

Full logging and error handling, scheduled via systemd timers

Everything is self‑hosted, open‑source, and documented. Your data stays on your metal, behind your firewall. Let’s turn your raw logs into actionable data—automatically.