[téléphone] · [nom]
Paris, France
[e-mail] · Data Engineer / Analytics Engineer · [lien]
SUMMARY
Data Engineer and Analytics Engineer with experience building data pipelines, analytical datasets, and BI solutions in a large-scale international environment. Strong in SQL, Python, Spark, AWS (Redshift, S3), data modeling, data warehousing, ETL/ELT, data quality, and data visualization, with a Data Science and AI academic foundation. Skilled at translating business requirements into data products, KPIs, and dashboards with Science, Engineering, and business stakeholders.
SKILLS
- Languages: Python, SQL
- Big Data & Processing: Apache Spark, PySpark, ETL/ELT, batch pipelines
- Cloud & Data Warehouse: AWS (Redshift, S3, Lambda), data warehousing
- Data Modeling: Dimensional modeling, star & snowflake schemas, fact and dimension tables, KPI frameworks
- Data Quality: Validation frameworks, monitoring, automated testing
- Visualization & BI: Amazon QuickSight, dashboards, reporting
- DevOps & Tooling: Git, Docker, CI/CD, code reviews, integration testing
- Methodology: Agile, cross-functional collaboration
- Data Science & AI: Machine learning, reinforcement learning (academic background)
PROFESSIONAL EXPERIENCE
Business Intelligence Engineer · Oct 2024 – Present
Amazon · Paris, France
Forward-deployed data engineer embedded with the Japan planning team, delivering the data pipelines and analytics that feed, validate, and test the Science team’s long-term transportation planning models.
Expansion to the Japan Market
- Led end-to-end delivery of new model features: gathering requirements from Japan planning stakeholders, building the data inputs, and coordinating with Science to integrate them into the models.
- Designed and built ETL pipelines (Python, SQL, AWS S3 to Redshift), replacing manual offline scripts with clean, production-ready datasets.
- Ran end-to-end testing and output validation, and built a QuickSight dashboard to present results and KPIs to Japan stakeholders.
Expansion to Large / Oversized Packages
- Extended the data flow to a new package category, designing the end-to-end pipeline from input preparation to output validation.
- Built preprocessing workflows, analytical datasets, and a QuickSight dashboard with KPI checks to validate optimization results and ensure data quality.
- Developed and maintained production-grade Python packages using SQL, Git, Docker, CI/CD, and integration testing.
Technologies: Python, SQL, Apache Spark, AWS (S3, Redshift, Lambda), QuickSight, Docker, CI/CD, ETL/ELT, data modeling, Git
Business Intelligence Engineer Intern · Mar 2024 – Sep 2024
Amazon · Paris, France
- Designed and built a backtesting pipeline from scratch (Python, Spark) to evaluate forecasting models against historical transportation data.
- Developed ETL workflows integrating large-scale operational and simulation datasets (S3 to Redshift).
- Built interactive dashboards comparing forecast versus actual KPIs (distance, cost, speed performance).
Technologies: Python, SQL, Apache Spark, AWS (S3, Redshift), QuickSight, ETL
Data Scientist Intern · Apr 2023 – Sep 2023
Wisp Solutions · Paris, France
- Developed multi-agent reinforcement learning models (Python, Docker) for intelligent traffic signal optimization, tuning parameters to improve agent performance and traffic flow across multiple intersections.
Technologies: Python, Deep Learning, Reinforcement Learning, Docker, Git
EDUCATION
École Centrale Marseille · 2022 – 2024
Information Science and Digital Society · Marseille, France
École Centrale Casablanca · 2020 – 2024
Engineering Degree in Data Science & Digital Transformation · Casablanca, Morocco
Chouaib Doukkali University · 2017 – 2020
Bachelor in Mathematics – First place in graduating cohort · El Jadida, Morocco
LANGUAGES & STRENGTHS
Languages: Arabic (Native) • French (C1) • English (B2)
Strengths: Ownership • Problem Solving • End-to-End Delivery • Cross-functional Collaboration
