I am a Big Data & AI Engineering student at the Polytechnic School of Agadir with a strong academic record, including ranking first in my program during my fourth year. I have practical experience in building automated E…
I am a Big Data & AI Engineering student at the Polytechnic School of Agadir with a strong academic record, including ranking first in my program during my fourth year. I have practical experience in building automated ETL systems using Python and PostgreSQL , as well as optimizing complex SQL queries for maritime operations. My technical toolkit includes proficiency in Python, Java, SQL, and NOSQL, alongside experience with big data and containerization tools such as Kafka, PySpark, and Docker. With a solid foundation in Machine Learning and Deep Learning (PyTorch, TensorFlow).
Built an automated ETL system to process purchase orders and delivery notes.
Integrated PaddleOCR for intelligent data extraction.
Stored and organized data in a PostgreSQL database.
Implemented a watchdog trigger to automatically start processing when new PDFs are added.
Developed optional task scheduling to run ETL workflows at configurable times.
Built an automated ETL system to process purchase orders and delivery notes:• Integrated PaddleOCR for intelligent data extraction.• Stored and organized data in a PostgreSQL database• Implemented a watchdog trigger to automatically start processing when new PDFs are added.• Developed optional task scheduling to run ETL workflows at configurable times.Technologies: Python, Prefect, PaddleOCR, PostgreSQL
Optimized complex SQL queries to improve maritime operations response times within the GATship system.
Automated reporting processes to support strategic decision-making.
• Optimized complex SQL queries to improve maritime operations response times within the GATship system.• Automated reporting processes to support strategic decision-making.Technologies: SQL
During my internship at COPAG, I built an automated ETL system designed to streamline the processing of purchase orders and delivery notes. I integrated PaddleOCR for intelligent data extraction from these documents and organized the resulting information into a structured PostgreSQL database. To optimize the workflow, I implemented a watchdog trigger that automatically initiates processing upon the addition of new PDFs, while also developing optional task scheduling to execute ETL workflows at specific, configurable times
The Modern Data Warehouse Project is a comprehensive, end-to-end data engineering solution that demonstrates the full lifecycle of a data warehouse using the Medallion Architecture. By ingesting raw ERP and CRM datasets, the project transforms data through Bronze, Silver, and Gold layers to create a structured, business-ready environment. The technical implementation features dimensional modeling with a Star Schema, integrating Fact and Dimension tables to support advanced SQL-based analytics on product performance and customer behavior. Developed using SQL Server, SSMS, and Git, the workflow emphasizes data quality through a dedicated testing suite that handles record validation, null detection, and duplicate removal to ensure reliable, actionable insights.
Designed an interactive dashboard to analyze Moroccan football players’ performance (playing time, goals,assists, etc.), extracted and cleaned data from Transfermarkt and FBref using automated web scraping• Tools Used: Python, Playwright, Streamlit
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