I will build a python etl pipeline from your files or api to a database

If someone on your team spends every week manually combining exports into a master spreadsheet, you do not have a data process - you have a person pretending to be one. I build Python ETL pipelines that do that job automatically, correctly, every time.

What I build:

Extract: from Excel/CSV files, REST APIs, MySQL/PostgreSQL, email attachments, FTP folders

Transform: cleaning, validation, deduplication, business rules

Load: into a well-designed MySQL database (I design the schema too)

Report: scheduled Excel/CSV/HTML reports from the fresh data

What makes my pipelines dependable:

Validation and error handling - bad rows are logged and quarantined, never silently loaded

Run logs so you always know what happened

Config-driven - paths and rules change without touching code

Documentation and handover included

I am a Python + MySQL developer who built the full data layer for a manufacturing business - from paper-and-Excel chaos to one clean database with automated reporting.

Every project starts with a short scoping conversation. Message me before ordering - it saves us both time.