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Data Engineer | Data Integration · # [e-mail]

Data Pipelines | Data Quality | Data Transformation · GitHub

Python | SQL | GCP | PySpark | Kafka | Airflow | Power BI | APIs | Automation · LinkedIn

Education

• Engineering Degree in Innovation & Business Analysis (AMOA) · Rabat, Morocco National Institute of Posts and Telecommunications (INPT) · 2022–2025
• Relevant coursework: Databases, Information Systems, Python Programming, Data Science, Statistics, Data Min- ing, Machine Learning, Artificial Intelligence, and Business Analysis
• Preparatory Classes for Engineering Schools (MPSI) · Agadir, Morocco Lycée Reda Slaoui · 2020–2022
• Intensive training in Mathematics, Probability, Linear Algebra, Optimization, Algorithms, Physics, and Scientific Problem Solving

Personal Projects

• Automated Data Pipeline for Web Advertisement Analysis Data Collection, Processing, Quality, and Analytics
• Developed automated pipelines to collect, structure, validate, and transform advertising and privacy-related Web data into analysis-ready datasets.
• Designed reproducible processing workflows combining textual, visual, network, and metadata sources.
• Implemented data-quality controls covering completeness, consistency, processing failures, coverage, and execution time.
• Integrated computer vision, OCR, NLP, and transformer-based components into automated extraction and cate- gorization workflows.
• Produced structured datasets, processing documentation, and reproducible reporting workflows for downstream analysis.
• Tools: Python, Pandas, OpenCV, PyTorch, Hugging Face, Puppeteer, Jupyter Notebook, Git.
• Data-Driven Healthcare Platform

Data Integration, APIs, Machine Learning, and Generative AI

• Contributed to the rapid development of an AI-powered healthcare platform during a competitive hackathon.
• Prepared, validated, and structured data consumed by the platform’s machine learning and NLP services.
• Implemented data and output quality checks to improve consistency across AI-enabled workflows.
• Integrated data and AI services through REST APIs within a multidisciplinary development team.
• Awarded 2nd Place at the AI HealthTech Hackathon supported by Google Gemini and Major League Hacking.
• Tools: Python, Google Gemini, Machine Learning, NLP, REST APIs, Git.

Experience

• Data Engineer · Sept. 2025 – Aug. 2026

OCP Group

• Developed and maintained automated pipelines for collecting, validating, transforming, and structuring large volumes of heterogeneous data.
• Integrated textual, visual, network, and metadata sources into standardized datasets for downstream analysis.
• Implemented data-quality controls covering completeness, consistency, processing failures, execution time, and data coverage.
• Monitored pipeline execution, investigated processing issues, and improved the reliability of recurring data work- flows.
• Documented data flows and produced KPI reports to communicate data quality and processing performance to stakeholders.
• End-of-Study Intern - Data Engineering · Jan. 2025 – Aug. 2025 OCP Solutions
• Designed an automated data pipeline for collecting and processing online advertising data from heterogeneous Web sources.
• Defined the ingestion, validation, transformation, and storage stages required to produce analysis-ready datasets.
• Implemented validation rules to detect missing, inconsistent, duplicated, and failed records.
• Structured raw data into reusable analytical tables and documented the associated processing workflows.
• Defined indicators for monitoring data coverage, processing time, pipeline reliability, and failure patterns.
• Data & Business Intelligence Consultant · Jul. 2024 – Sep. 2024 Leyton
• Developed SSIS data-integration workflows to extract financial and operational data from multiple Excel files.
• Cleaned, validated, standardized, and transformed the extracted data before loading it into SQL Server.
• Designed SQL tables, queries, and transformation rules to create reliable datasets for analysis and reporting.
• Developed Power BI dashboards and KPI reports connected to SQL Server to support financial monitoring and business decision-making.

Technical Skills and Interests

Data Engineering: Python, SQL, Pandas, NumPy, PySpark, Kafka, Airflow, Data Collection, Data Transformation, Data Integration, Data

Validation, Data Quality, and Structured Datasets

Cloud & Distributed Processing: GCP, PySpark, Apache Kafka, Apache Airflow, Docker, and Linux

Databases & Processing: PostgreSQL, Data Modeling, Data Profiling, Data Cleaning, ETL Workflows, and Reproducible Data Pipelines

Business Intelligence: Power BI, Tableau, Dashboard Development, KPI Reporting, Data Visualization, and Analytical Reporting

Systems & Integration: REST APIs, SAP, Salesforce, Odoo, Information Systems, Requirements Translation, and Workflow Automation

AI & Analytics: Scikit-Learn, PyTorch, TensorFlow, Feature Engineering, Computer Vision, OCR, NLP, and Transformer Models

Software Engineering: Git, Docker, Linux, Bash, Jupyter Notebook, Testing, Documentation, and Reproducible Workflows

Languages: Arabic (Native), French (Professional), English (C1)

Achievements

• Projet Data Science - Analyse Web à grande échelle · 2026 Développé une solution automatisée de traitement de données multimodales, d’évaluation comparative et d’analyse des erreurs sur plus de 800 sites Web
• 2 e place - AI HealthTech Hackathon · 2026

Développé et évalué une plateforme de santé combinant machine learning et NLP, avec un travail sur la préparation des données, l’intégration des modèles et la qualité des résultats

• 1 re place - PwC Business Case Competition · 2025 Conçu une solution fondée sur les données en mobilisant l’analyse quantitative, le raisonnement structuré et la formulation de recommandations
• Programme McKinsey Forward · 2024

Formation en résolution structurée de problèmes, prise de décision fondée sur les données, communication et travail collaboratif

References

• Dr. Mourad Oubrich

Branch Coordinator

Institut National des Postes et Telecommunications (INPT)

Email: [e-mail]

• Mansour Baghrar

Principal Research Engineer

EX. Mohammed VI Polytechnic University (UM6P) - Current. Amazon

Email: [e-mail]

• Dr. Zaouia Abdellah Professor

Institut National des Postes et Telecommunications (INPT)

Email: [e-mail]