I will automate your manual data work with a python data pipeline
Python Data Engineer
About this Gig
Tired of manual data work? I build automated Python pipelines that save you hours weekly.
As a PhD in Physics, I engineer reliable data solutions, not just scripts.
WHAT I DO:
Automate data from Excel, APIs, databases
Clean, validate, and structure your data
Deliver production-ready Python code
Provide clear documentation
PERFECT FOR:
Business owners automating reports
Data analysts tired of cleaning data
Startups needing scalable infrastructure
Researchers processing complex datasets
️ MY STACK:
Python, Pandas, SQL, Airflow/Prefect, Docker, FastAPI
YOU GET:
1. Working automated pipeline
2. Clean, documented code
3. Data validation built-in
4. Support to understand & maintain
Ready to transform your data workflow?
Click "Continue" to share your data sources. I respond in 2 hours.
All projects include satisfaction guarantee.
FAQ
What do you need from me to get started?
Just describe your data sources (Excel, Google Sheets, databases, APIs) and what report or dashboard you need. I handle everything technical.
What technology do you use for data pipelines?
Python with Pandas for data processing, Apache Airflow/Prefect for orchestration, and SQL databases for storage. I adapt to your existing tools. My solutions are cloud-agnostic (work on AWS, GCP, Azure).
How long does a typical project take?
Most pipelines are delivered in 3-5 business days. Complex projects with multiple sources take up to 7 days. I provide daily progress updates so you're never in the dark.
What makes you different from other data engineers?
My PhD in physics gives me unique problem-solving skills for complex data systems. I focus on building maintainable, documented solutions—not quick fixes. Plus, I explain the "why" behind technical decisions.
Do you provide support after delivery?
Yes! All packages include 15-day bug support. The Enterprise package includes 30-day full support. I also offer ongoing maintenance packages if needed.
