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Paul Eru

@pauleru

Data Engineer building Python and Airflow ETL pipelines, including a continuously running FPL data pipeline deployed on AWS EC2.

Nigeria

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I designed and built the FPL Data Pipeline, a personal project that extracts Fantasy Premier League standings from a public API, transforms them with pandas, and loads them into PostgreSQL.

I orchestrated the pipeline with Apache Airflow and containerized its services with Docker Compose, then deployed the full stack to AWS EC2 with persistent storage.

During deployment, I diagnosed and resolved issues including Docker data loss, a DAG that ran zero tasks, a corrupted database initialization script, and a Windows/Linux case-sensitivity bug.

As a Data Analyst at Green Apple Engineering Limited, I cleaned and analyzed company datasets and delivered findings that informed the company's financial decision-making. I also built Power BI dashboards and analyzed retail sales and English Premier League datasets in personal projects.

Experience

Work history, roles, and key accomplishments

Data Analyst

English Premier League Dataset Analysis (Personal Project)

Cleaned and prepared a raw dataset using pandas, including exploratory data analysis. Designed and loaded a relational database, wrote SQL queries to answer key analytical questions, and connected the dataset to Power BI for visualization.

Python Pandas SQL PostgreSQL Database Design Exploratory Data Analysis Power BI Data Visualization

Data & Cloud Engineer

FPL Data Pipeline (Personal Project)

Designed and built an automated ETL pipeline extracting Fantasy Premier League standings from a public API, transforming the data with pandas, and loading it into PostgreSQL. Orchestrated the pipeline with Apache Airflow and containerized all services with Docker Compose for consistent local and cloud environments.

Python Pandas SQL PostgreSQL Airflow Docker Docker Compose EC2 ETL API Integration cloud deployment Networking Firewalls Persistent Storage Troubleshooting

Data Analyst

Green Apple Engineering Limited

Cleaned and analyzed company datasets to surface actionable business insights. Delivered findings that directly informed and improved the company's financial decision-making approach.

Data Analysis Data Cleaning Business Insights Financial Decision Making

Data Analyst

Online Store Sales Analysis (Personal Project)

Loaded and cleaned a retail sales dataset using Python. Performed exploratory analysis to surface key business insights and built an interactive Power BI dashboard to support data-driven decision-making.

Python Data Cleaning Exploratory Data Analysis Power BI Data Visualization