🎓 Bachelor of Computing graduate from Belgium Campus ITversity, now working as a Data Consultant at Expeditus - turning messy data into clean, useful insights. 💻 I love working with databases, writing solid SQL, and building data solutions that actually help businesses make smarter decisions. Still a full-stack dev at heart - just more focused on the data side of things lately.
- 🔍 Love figuring things out - especially how systems, people, and numbers interact.
- 💡 Big fan of applied statistics, data analytics, and problem-solving in business environments.
- 🛠️ Focused on:
- SQL development (SSMS, T-SQL, query optimization)
- Snowflake ❄️ - data warehousing, analytics, and everything in between
- Data modeling, ETL pipelines, and reporting
- Full-stack development (JavaScript, React, Node.js, C#, .NET)
- Agile methodologies (Scrum, Kanban)
- Clean code principles and object-oriented programming
- Software design patterns and architecture
- ⚙️ Learning every day and building a portfolio to show it.
A mix of professional work and personal builds:
- Data Consulting @ Expeditus – Building and maintaining SQL and Snowflake solutions across SSMS, delivering clean, reliable data and analytics for clients
- Student Management System – Full CRUD desktop app with proper business logic using C# and Windows Forms
- Telecom Customer Types – OOP system with Prepaid and Contract logic
- Horse Race Dashboard – JavaScript web app showing performance stats and leaderboards
- QR Code Factory Tracker – Tracking products and raw materials using QR codes and form automation
I built these to solve real problems, not just follow tutorials.
- 🧠 Build a strong, clean portfolio with actual value behind it
- ❄️ Go deep on Snowflake and modern data stack tools
- 📊 Bridge the gap between raw data and real business value
- 💼 Keep growing as a developer - data-focused, but full-stack ready
- 📧 Email: [[email protected]]
- 💼 LinkedIn: [linkedin.com/in/jade-adam-riley-6a3256334]
"Code everyday so you can make lots of money" ~ Benjamin Franklin probably