Data Analyst & Junior Data Engineer | Python, SQL, Power BI, PySpark, Airflow & Spark

I’m a Junior Data Engineer and Data Analyst who enjoys turning raw data into reliable pipelines, meaningful insights, and clear business decisions.

I work with Python, SQL, Power BI, Excel, Pandas, PySpark, Apache Spark, Apache Airflow, Docker, and MySQL. I have hands-on experience with data cleaning, exploratory analysis, ETL, data validation, pipeline development, dashboarding, and workflow automation.

My projects include an end-to-end retail data engineering pipeline using Python, SQL, PySpark, Spark, Airflow, and Docker, as well as a 9,994-record retail analytics project using SQL, Python, Excel, and Power BI.

I’m currently looking for remote opportunities where I can contribute to data analytics and engineering projects, continue developing my technical skills, and create measurable value through data.