Aravindh T.

Skills

Data Pipelining ETL, Data Visualisation, Data Analysis, Machine Leanring, AWS

About

I completed my Master's in Data Science at DePaul University (GPA 3.83) with hands-on experience in modern data engineering tools, including coding languages such as Python and SQL, Spark, Airflow, AWS, and Snowflake. Through a combination of academic projects and professional experience at Groupon and Amazon, I’ve built end-to-end data pipelines, worked with large datasets (7 Million+ records), created scalable ETL flows using Apache Airflow and developed visualisations using Tableau that support business decisions.

I enjoy working at the intersection of data, engineering, and impact. whether building pipelines with PySpark and EMR, managing structured data in Snowflake, or creating dashboards in Tableau. My goal is to contribute to a team where I can apply and expand my skills in a real world setting.

I'm currently seeking entry-level data engineering or data analyst roles, and I’m authorised to work in the U.S. under F-1 OPT.