I'm a junior data engineer passionate about building clean, efficient, and scalable data pipelines. I enjoy transforming raw data into meaningful insights and automating workflows to support data-driven decisions. Currently, I’m deepening my expertise in AWS services and preparing for the AWS Data Engineering Associate (DEA-C01) exam. I have also spent time educating myself on full-stack software development.
I’ve been working as a consultant at Digital Futures, expanding my knowldege in solutions that help businesses extract, transform, and visualize their data effectively.
Data Engineering: Python, SQL, Pandas
Cloud & DevOps: AWS (S3, Redshift, Lambda, Glue, CloudWatch), Docker
Databases: PostgreSQL, DynamoDB
Data Visualization: Tableau, Matplotlib
Tools & Platforms: Git, GitHub, Jupyter, VS Code
- LinkedIn: linkedin.com/in/danjparkinson1996
- Email: danieljparkinson1996@gmail.com
A data pipeline project that extracts, cleans, and enriches LEGO product review data using APIs, then loads it into a PostgreSQL database for analysis. Provides interactive visual insights into product ratings globally.
https://github.com/DanParkinson/capstone-lego-etl
A full-stack productivity app that allows users to manage tasks by category. Features include advanced task filtering, sorting, and secure user authentication.
Live Demo • Frontend Code • Backend Code
A full-stack restaurant reservation management system built with Django and React.
A collaborative project from Code Institute’s December 2024 hackathon. I led backend development. Placed 3rd overall.
- Build robust, scalable ETL pipelines and data warehouses
- Gain expertise in cloud-based data engineering
- Grind that chess.com rating