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Junior Data Engineer | SQL, ETL, Data Pipelines and Azure Fundamentals
Rabat, Morocco · | [e-mail] · | [téléphone]
Profile
INPT engineering graduate in Data Engineering and Artificial Intelligence seeking a junior Data Engineer position on Azure data-platform projects. Experienced in SQL, Python, ETL/ELT, data transformations, data quality, PostgreSQL, Spark, Kafka and Airflow. Familiar with Azure Data Factory, Azure SQL Database and Azure Synapse concepts, including pipelines, datasets, linked services, triggers, integration runtimes, relational storage and analytical workloads. No production
Azure experience yet; motivated to apply strong data-engineering foundations to cloud migration and BI modernization projects.
Education
State Engineering Degree, Data Engineering & Artificial Intelligence – INPT, Rabat · 2023–2026
Relevant coursework: Data Engineering, SQL, ETL, Big Data, Distributed Databases, Data Modeling, Statistics, Machine
Learning and MLOps.
Preparatory Classes, Mathematics and Physics – Lycée Mohamed V, Casablanca · 2021–2023
National rank: 273rd in MP track.
Experience
AI & Data Engineer – Final-Year Project, Direction Générale des Impôts, Rabat · Feb–Jun 2026
- Built a Python ETL pipeline to extract fiscal information from heterogeneous documents, transform it and load validated records into PostgreSQL.
- Applied data cleaning, schema structuring, validation rules and confidence scoring to improve data quality and reliability.
- Developed REST API components and JSON exchanges between processing modules.
- Automated scheduled processing and retries with Apache Airflow; used Docker, Git, CI/CD practices and pytest.
- Documented processing steps, validation logic and data outputs for repeatable execution and troubleshooting.
- Evaluated the pipeline on 700 annotated acts: weighted score 0.974, 88.6% exploitable acts and 85/85 unit tests passed.
Technologies: Python, SQL, REST APIs, PostgreSQL, Airflow, Docker, Git, CI/CD, pytest, Linux
Data Engineering Intern – Experteye, Casablanca · Jul–Aug 2025
- Built an automated data workflow covering collection, API enrichment, transformation, storage and reporting.
- Processed JSON data from external sources and prepared structured outputs for dashboards and KPI-oriented analysis.
- Used Python, SQL, PostgreSQL and Supabase to support repeatable data-processing workflows.
Technologies: Python, SQL, REST APIs, JSON, PostgreSQL, Supabase, n8n
Selected Data Engineering Project
Real-Time Data Lake and Streaming Platform
Designed a banking transaction platform with Kafka ingestion, Spark transformation, Airflow orchestration, Post-greSQL/Cassandra storage and data-quality checks. Separated real-time and historical workloads for monitoring and analytical queries.
Technologies: Python, SQL, Spark, Kafka, Airflow, Cassandra, PostgreSQL, MinIO, Docker.
Technical Skills
Azure concepts: Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Azure data pipelines, linked services, datasets, triggers, Integration Runtime, relational and analytical workloads.
Data engineering: SQL, Python, ETL/ELT, data ingestion, data transformation, data modeling, batch and streaming processing, data quality.
Big Data and storage: Apache Spark, Apache Kafka, Hadoop, PostgreSQL, MySQL, Cassandra, MinIO, NoSQL concepts.
Engineering: Apache Airflow, REST APIs, JSON, Docker, Git, Linux, Bash, pytest, CI/CD practices, troubleshooting.
Analysis and BI: Power BI, Pandas, NumPy, Streamlit, Matplotlib, Seaborn, KPI preparation.
Cloud level: Azure data-platform fundamentals; no production deployment experience on Azure, AWS or GCP yet.
Languages and Leadership
French fluent | English fluent, TOEIC 875/950 | Arabic native
Treasurer, Great Debaters INPT | Elected Member, INPT Pedagogical Committee
