I will design and build your etl elt data pipeline

Struggling with messy, manual, or unreliable data workflows? I build clean, automated data

pipelines that just work reliably, on schedule, without babysitting.

I'm a Data Engineer working professionally on Spark-based ETL pipelines for financial data,

with hands-on experience in Python, PySpark, Airflow, PostgreSQL, and AWS.

WHAT I CAN BUILD FOR YOU:

ETL/ELT pipelines (API, database, or file-based sources)

Airflow DAGs for scheduled, automated workflows

Data validation & quality-check layers (null checks, record counts, schema checks)

PySpark pipelines for large dataset processing

PostgreSQL/MySQL data warehousing and reporting pipelines

Cleaning up and optimizing existing slow/unreliable pipelines

WHY WORK WITH ME:

- I write pipelines meant to run in production, not just once

- Clear communication I'll ask the right questions before writing a line of code

- Documented, handoff-ready code (README + comments), not a black box

Not sure exactly what you need? Message me with your data source and end goal I'll tell you

honestly what's realistic and how I'd approach it.