Kobe Schoeters
Data Engineer @ Atos & Eviden
About Me
Data Engineer
My name is Kobe Schoeters. I am currently working as a Data Engineer at Atos & Eviden in Belgium (Zaventem). I completed the study Applied Computer Science at Thomas More Geel, where I built a strong foundation in software development, data engineering, and cloud technologies. As a passionate data engineer, I’m dedicated to unlocking the full value of data to help companies grow, innovate, and create opportunities that contribute to a better future for everyone. I combine technical expertise with a strategic mindset to build scalable, reliable data solutions that empower decision-making and drive real business impact.
- Birthday: 12 December 2003
- Degree: Bachelor Applied Computer Science
- City: 2490 Balen, Belgium
- Age: 21
- Driver's License: B
- Email: kobe.schoeters@outlook.com
My Skills
An overview of my technical capabilities, soft skills, and language proficiencies.
Technical Skills
Soft Skills
Languages
Tools I worked with
Data & Development Tools
Apache Airflow
Amazon Web Services
Azure
Brackets
dbt
Docker
Hevo Data
MySQL
Power BI
Qlik Sense
Snowflake
Streamlit
Tableau
VS Code
Collaboration & Productivity Tools
Axure
Azure DevOps
ClickUp
Figma
GitHub
GitLab
Jira
Office 365
Teams
Trello
Internship Algorhythm
Project Hawkeye
During my internship at Algorhythm, I worked on a project called Project Hawkeye. The outcome was a Streamlit application that provides a comprehensive overview of all employees, including their details such as skills and project history. It also features a customer overview, showcasing their associated projects and the tools being used. Additionally, the application includes a matchmaking page that links employees to potential opportunities or customers based on the technologies they have mastered.
Developing the application required collecting comprehensive data on employees, customers, active projects, and potential business opportunities. This data was sourced from the following systems:
ClickUp
Salesforce
Cronos Central CV
To clean, structure, and prepare this data for use in the application, we used the following tools:
Snowflake
Database
Hevo Data
Ingestion Tool
dbt
Transformation Tool
Documents: (All documents are in Dutch)
Projects
Below is an overview of the projects I completed during my academic journey, showcasing a range of technical and analytical skills.
CropWatchers
Monitoring crop health using satellite imagery and EOplaza services to analyze the yield potential of the given field.
BI Project
Qlik dashboard analyzing Tomorrowland's full revenue stream — from ticket sales and merchandise to food & beverage.
ECS Project
Development of a Power BI dashboard to visualize and track invoice data efficiently, aiding in financial reporting and decision-making.
NLP Project
Development of a chatbot using Streamlit, capable of understanding and responding to user inputs through natural language processing techniques.
Trackmania Self Driving Car
Created a self-driving car in the game Trackmania using deep learning techniques to navigate tracks autonomously.
RA Project
A detailed requirement analysis project conducted for Code Kraks, focusing on gathering and documenting user needs to ensure successful project outcomes.
