Freelancer profile translated to English.

Description

Passionate data engineer, I combine a solid background in statistics, artificial intelligence, and software engineering, with practical experience in data engineering and data science.

During my assignments at Sogeti France and Hospices Civils de Lyon, I implemented data transformation pipelines, developed machine learning solutions, and worked on advanced visualization projects. I use tools such as Python, R, DBT, PostgreSQL, Docker, GCP, and Tableau on a daily basis.

My dual technical (Python, R, SQL, ETL/ELT, cloud) and scientific (statistical modeling, machine learning, text mining) expertise allows me to adapt quickly to the most demanding projects, while maintaining a focus on quality, optimization, and clarity of results.

Rigorous, adaptable, and results-oriented, I am ready to take on your challenges in data engineering, data science, or data-driven tool development.

Key Skills: Data Engineering, Machine Learning, Data Analysis, ETL/ELT, GCP, Docker, DBT, Python, R, SQL, Data Visualization.

Languages

French
Native or bilingual
English
Fluent
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Tanger (up to 50km), Rabat (up to 50km), Casablanca (up to 50km)

Sogeti,Seiitra
Data engineer
SOFTWARE PUBLISHING
March 2021 - September 2022 (1 year and 6 months)
Grenoble, France
Implementation of a complete data pipeline architecture (ETL/ELT) to automate the control, transformation, and validation of data from multi-tenant Oracle databases to a PostgreSQL warehouse.
❖ Design and deployment of data pipelines ensuring the collection, transformation, and data quality testing between Oracle and PostgreSQL.
❖ Implementation of a modern data architecture based on a stack composed of Trino, DBT, Python, Dagster, Docker, and Metabase.
❖ Development of custom Python functions to automatically convert Oracle SQL queries into usable DBT models (parsing, refactoring, adding metadata, generating schema.yml files and unit tests).
❖ Use of DBT for transformation, testing, and automated documentation of data models.
❖ Complete orchestration of workflows with Dagster, including: retrieving SQL scripts from Git, executing transformations, managing tenants, launching DBT tests, and synchronizing with Metabase.
❖ Creation of Metabase dashboards to visualize data quality test results (per tenant, per agency, per anomaly type).
❖ Optimization of the anomaly control process on several hundred Oracle instances using Trino, enabling parallel execution and significantly reducing diagnostic time.
❖ Participation in the technical documentation and production deployment of the pipeline, ensuring data traceability and reliability.
Results:
★ Notable improvement in the reliability and consistency of analytical data used by the group (Emeria).
★ Automation of over 90% of the quality control process.
★ CDI job offer from Sogeti at the end of the internship, recognizing the quality of the work performed.

SQL PostgreSQL Oracle DBT Python / SQL / PostgreSQL / Oracle / DBT / Dagster / Docker / Trino / Metabase / Git / Data Quality / ETL/ELT / Workflow Automation
HOSPICES CIVILS DE LYON
data scientist
HEALTH AND WELLNESS
May 2021 - July 2021 (2 months)
Gières, France
Development of an AI prototype to build the common history of a patient cohort and predict disease progression.
❖ Extraction and processing of patient data from the Easylife hospital system.
3
❖ Analysis of patient journeys through Machine Learning and clustering, identification of weak signals.
❖ Visualization of results and construction of a word cloud to synthesize information from patient records.
❖ Development of predictive models to anticipate future risks based on medical history and current health status.

Python / Machine Learning / Clustering / Data Visualization / Analyse de données médicales. Python Clustering Machine learning Data visualisation
CHU de Grenoble
Developpeur en projet tutoré
HEALTH AND WELLNESS
December 2020 - April 2021 (4 months)
Grenoble, France
Creation of an interactive application for visualizing the trajectories of patients with sleep apnea.
❖ Development of a Shiny application in R to visualize time series and patient clusters.
❖ Analysis of clinical data: grouping by clusters, comparison of clinical variables (sex, smoking, sleepiness).
❖ Advanced statistical calculations and dynamic visualizations (average trajectory, histograms).
❖ Implementation of statistical indicators and graphical representations to facilitate decision-making by researchers.

R Language R Shiny Data visualization Statistics Time Series

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Master's degree in Applied Mathematics:
Lycée Moulay Ismail Meknes Programme
2020
Magistère en Mathématique appliquées:
Data Science.
Université de Grenoble Alpes Grenoble,
science de données.

Check out Nabil's education

Nabil Mehdaoui

Data Engineer | ETL/ELT | DBT | Python | R

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