Data Predictive Insights ETL Pipeline
Built a full ETL pipeline that pulls powerlifting competition data, transforms it through Python, and loads it into PostgreSQL for analysis. Connected the whole thing to Power BI for interactive dashboards — turning raw Kaggle data into something a coach or athlete could actually use to spot trends in squat, bench, and deadlift performance.
Python
PostgreSQL
ETL
Power BI
Data Engineering
Jupyter Notebook
This project focuses on developing a comprehensive data analytics and reporting application for analyzing the Powerlifting Database from Kaggle. The dataset includes detailed information about powerlifting meets and competitors, covering performance metrics in the Squat, Bench, and Deadlift categories.