a Junior Data Engineer and Data Enthusiast.
I enjoy building data pipelines and turning raw data into clean, structured, and useful datasets.
If I find an interesting dataset or problem, chances are I’ll try to extract it, process it, and automate the workflow.
My main tech stack includes Python, SQL, PostgreSQL, Apache Airflow, and Docker. I enjoy working with ETL pipelines, APIs, and data orchestration.
I’ve built several data engineering projects, mostly focused on ETL pipelines and automation, and I continue to improve them as I learn new tools and best practices.
You’ll find my pinned repositories showcasing hands-on projects and learning experiments in data engineering.