Bachelor of Engineering (Information Technology) from Savonia University of Applied Sciences.
I am a recent Information Technology graduate with a strong interest in Data Engineering, Data Analytics, cloud technologies, and modern data platforms. I enjoy building data pipelines, working with databases, and developing solutions that transform data into valuable insights.
- Databricks Data Engineer Learning Path
- Microsoft Fabric Learning Path
- Data Engineering Best Practices
- Modern Data Architecture
- Cloud Data Platforms
- Python
- SQL
- Java
- TypeScript
- JavaScript
- C#
- Databricks
- Delta Lake
- ETL / ELT Concepts
- Data Pipelines
- Data Modeling
- Data Analytics
- Spring Boot
- REST APIs
- Node.js
- React
- Next.js
- TypeScript
- HTML
- CSS
- PostgreSQL
- MySQL
- MongoDB
- Prisma ORM
- Microsoft Azure
- Microsoft Fabric
- Docker
- AWS Fundamentals
- Git
- Agile Methodologies
Data Engineering project implementing Bronze, Silver, and Gold layers using Databricks, PySpark, and Delta Lake. Demonstrates data ingestion, transformation, and analytics-ready datasets using the Medallion Architecture.
Bachelor's thesis project developed for Savonia University of Applied Sciences. Integrated with Moodle using the LTI 1.3 standard and built with React, Next.js, TypeScript, Prisma, Docker, and relational databases.
Comprehensive data analytics project developed as part of a university course. Includes statistical analysis, data visualization, exploratory data analysis (EDA), and time series forecasting using Python.
Open-source digital library platform built with Next.js, Prisma, and Supabase. Features user authentication, content management, downloading capabilities, an admin dashboard, and real-time usage statistics.
Building my career in Data Analytics and Data Engineering while developing practical solutions with Python, SQL, Databricks, and cloud technologies.
- LinkedIn: www.linkedin.com/in/wefky-h

