Dolph peterside

I am a results-driven Data Engineer with over 3 years of experience in designing, building, and optimizing scalable data pipelines and infrastructure. My proficiency in Apache Airflow and Google Cloud Platform, combined with my skills in Python and SQL, allows me to create robust ETL workflows and ensure data accuracy at scale. I thrive in collaborative environments, working closely with cross-functional teams to translate data requirements into production-ready solutions.

Throughout my career, I have successfully developed and deployed scalable data solutions, modeled analytical datasets, and optimized performance for large-scale systems. My experience includes creating and maintaining Airflow DAGs, writing complex SQL queries, and utilizing tools like dbt and Looker Studio for data transformation and visualization. I am eager to leverage my technical expertise and problem-solving abilities to drive innovation in data engineering.