About

I am a Data Engineer based in Chicago with 3 years of experience building production ETL pipelines using Python, SQL, Spark, and Airflow across AWS and Azure. My work centers on dependable data foundations, quality controls, and systems that perform reliably in regulated healthcare and financial settings.

Technical Focus

Production-grade ETL pipeline development.
Data quality and reliability in operational workflows.
Handling sensitive client data and PII with care.

Technologies I Use

Python
SQL
Spark
Airflow
Snowflake
Databricks
AWS
Azure

Career Focus & Interests

I enjoy building and improving data platforms that help teams trust their reporting and analytics. I am especially interested in scalable pipeline architecture, operational reliability, and clear data workflows that support long-term growth.