I'm Ethan Brooks
I'm a Data Engineer who enjoys building reliable, scalable, and efficient data solutions that transform raw information into meaningful insights. My work focuses on designing ETL pipelines, optimizing SQL queries, processing large datasets with Apache Spark, and developing cloud-based data platforms on AWS. I enjoy solving complex data challenges while creating systems that are easy to maintain, monitor, and scale.
Over the past few years, I've worked with technologies such as Python, SQL, Apache Airflow, PySpark, Kafka, Docker, PostgreSQL, Snowflake, and AWS services including S3, Glue, Lambda, and Athena. I believe that clean architecture, automation, and high-quality data are the foundation of every successful analytics platform.



