I will build python etl data pipelines with apache airflow and postgresql

Messy spreadsheets, PDFs and APIs that never quite line up? I build reliable Python data pipelines that bring your data together, clean it, and load it into a database you can trust.

I'm a data engineer with 5+ years of experience. Most recently I built the ETL pipelines for a financial reconciliation platform used by institutional fund clients, including OCR extraction from scanned bank statements.

What I can build for you:

ETL pipelines from CSV, Excel, APIs, databases and PDFs

Apache Airflow workflows that run on a schedule

Data cleaning, validation and deduplication

PostgreSQL database design and query tuning

Data extraction from scanned documents (OCR)

Matching and reconciliation between data sources

Docker setup so it runs the same everywhere

Every pipeline comes with:

Clean, documented Python code

Data quality checks, so bad records are flagged, not silently dropped

A short guide on how to run it

Tech: Python, pandas, Apache Airflow, PostgreSQL, Celery, Redis, Docker

Message me before ordering with your data sources and goal, and I'll recommend the right package.