Description

8+ years of experience designing reliable and scalable data pipelines, optimising big data infrastructure, and driving data-informed decisions. I specialise in cloud based data platforms with databricks and Azure technologies. I am also AWS certified.

Langues

Arabe
Bilingue ou natif
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

TotalEnergies
Senior Data Engineer
ENERGIE
juillet 2023 - Aujourd'hui (2 ans et 11 mois)
Paris, France
Context: Data Lake House for Refinery and Chemistry data products. (June 2024 – Present)
• Implemented data ingestion and transformation jobs triggered using predefined schedules.
• Optimized end user data query performance using data modeling and delta table storage
management best practices.
• Reduced Databricks usage cost through compute tuning.
• Developed code quality and data validation features.
• Evolved CICD pipelines.
Technologies: Pyspark, Python, Pytest, Databricks SQL Warehouse, Azure Databricks, Github actions,Azure Data Lake, Terraform, Liquibase.

Context: Maintenance planning web application for Oil & Gaz extraction platforms. (11 months)
• Implemented daily batch ETL workflows using Azure services.
• Improved existing ETL code robustness and test quality with architectural best practices.
• Developed CICD pipelines.
• Evolved & deployed infrastructure services using Terraform IaC capabilities.
• Delivered introductory trainings for Data Engineers on the following technologies: Databricks,
Docker and Kubernetes
Technologies: Python, Pytest, SQL, Azure functions & durable functions, Azur Service Bus, Gitflow,Github actions, Azure Data Lake, Azure SQL Database, Terraform, APIM
Deloitte Consulting
Senior Data Engineer
CONSEIL & AUDIT
janvier 2017 - juin 2023 (6 ans et 5 mois)
Paris, France
Toyota– 1 year consulting assignment
Context: Development and improvement of existing ETL workflows for operational and marketingdata analysis.
• Improved ad hoc notebooks on Spark Databricks to perform big data ETL pipelines.
• Performed Data quality checks in collaboration with data analysts : SQL data querying in Azure
SQL Database in order to detect and fix inconsistencies in data flows
• Training of client data analyst to perform data transformations and troubleshooting in Databricks
Technologies: Python, pySpark, Databricks, Azure Blob Storage, Azure SQL Database

Sanofi – 6 months consulting assignment
Context: Programming of a an ETL workflow for competitive pricing scenarios analysis and launch ofnew customer products
• Developed and integrated new features to a pricing scenario evaluation model with graph analysis in python (agile mode)
• Increased tests coverage
• Deployed ETL workflows in Databricks
Technologies: Python (pandas, numpy, networkit, networkx, pytest, koalas), Gitlab, Databricks, AWSS3

French Ministry of Justice – 2.5 years consulting assignment
Context: HR payroll management, regulatory reporting of the employee inclusion indicators, genderequality label KPIs.
• Developed ad-hoc and scheduled BI reports and KPIs using SAP BO, Power BI and SQL Developer.
• Implemented data extraction AI use case from pdf documents using NLP & OCR python libraries.
• Implemented a skills management POC with natural language processing technologies
• Conducted forecast study on employee churn using Machine Learning models.
• Developed an IA PoC for matching between employee profiles and internal mobility vacancies with natural language processing (NLP) techniques.
Technologies: SQL Developer, SAP Business Object, MS Power BI, Cloudera, Anaconda, Python(NLTK, Spacy, Tkinter, Pandas, Numpy, Textract)