Omar Drissi Lahsini

I am a fourth-year student in the Big Data and Artificial Intelligence Engineering program at the International University of Rabat, actively seeking a data engineering internship opportunity. My academic journey has equipped me with a solid understanding of data pipelines, ETL processes, cloud technologies, and big data frameworks such as Hadoop and Spark.

• DOUZ COOL | 2024
• Developed a university restaurant management app using Java and MySQL. The app handles menus, reservations, and meal tracking with a user-friendly interface for admins and users, ensuring smooth operations and secure data storage.
• Tech stacks: Java, MySQL

• DOUZ TAQRA | 2024
• Built a library management system using Python to manage books, track loans, register members, and generate availability reports. The app streamlines interactions between librarians and users with efficient data handling and scalability.
• Tech stacks: Python

• Sleep Assistant | 2024
• Developed a form to collect detailed sleep data through questionnaires, building a large dataset for statistical analysis. This helps identify sleep-influencing factors and supports research with actionable insights.
• Tech stacks: Data Collection, Statistical Analysis

• AJI TAQRA | 2025
• Java-based web application hosted on Microsoft Azure, designed to help students practice and succeed in their quizzes. Users could choose subjects, take multiple-choice quizzes, and instantly receive their scores. At the end of each quiz, students would see their grade and be ranked on a dynamic leaderboard. The project used Azure cloud services for deployment, storage, and database management to ensure scalability and real-time updates.
• Tech stacks: Java, Microsoft Azure

• BETWEEN US | 2025
• Designed and developed a web application to assist project managers in assigning developers to projects based on their skills and availability. The application includes user authentication, profile management, project creation, and developer assignment. It also enables project managers to evaluate developer performance through ratings and feedback.
• Tech stacks: Spring Boot, Thymeleaf.

• Let's Train | 2025
• Built an app using LLM where users select the muscle they want to train. The app asks for their workout split, then generates a tailored list of exercises with execution details.
• Tech stacks: LLM, NLP

I want to become a skilled and versatile data engineer, so i want to learn everything about data engineering stacks such as :

• Kubernetes
• Kafka
• Airflow
• Snowflake
• BigQuery
• Hive
• Grafana
• Flume
• Sqoop