🎓 Mechanical & Mechatronics Engineering Student | 📊 Self-Taught Data Engineering Enthusiast
Building scalable, analytics-ready data systems by combining engineering fundamentals with modern data technologies.
I’m currently studying Mechanical & Mechatronics Engineering and self-teaching Data Engineering.
My focus is on designing reliable data pipelines, data models, and SQL-based analytics systems that support informed decision-making.
- Field: Mechanical & Mechatronics Engineering
- University: Adelaide University
- Interests: Industrial Automation, Electromechanical Systems Design, Data-Driven Optimisation
- 🧩 CAD & Design: SolidWorks
Developing job-ready data engineering skills through hands-on projects and self-study:
- 🐍 Python — data processing, automation, ETL logic
- 🗄️ SQL — data modeling, warehousing, analytical queries
- Microsoft SQL Server
- MySQL
- 🔄 Data Pipelines — ETL / ELT workflows, data validation
- 📊 Big Data — Apache Spark, Kafka, distributed systems
- ☁️ Cloud Platforms — AWS / GCP / Azure
👉 Hands-on projects:
📂 Explore my repositories to see data engineering and programming projects.
⭐ Engineering builds systems. Data engineering makes them reliable and scalable.