Description

I help companies build scalable data pipelines and modern data warehouses using Snowflake, Airflow, and AWS.

With 4+ years of experience, I design robust ETL processes that transform raw data into reliable, business-ready insights.

I have worked on large-scale projects integrating multiple systems (ERP, WMS, TMS…) into centralized data platforms, improving reporting efficiency and data reliability.

What I can deliver:

End-to-end ETL pipelines .

Snowflake Data Warehouse architecture (Star/Snowflake schema)

AWS cloud data integration .

SQL performance optimization

BI-ready datasets for Power BI / Tableau

I focus on secure, scalable, and production-ready solutions.

Industry field of expertise

Languages

French
Fluent
English
Native or bilingual
Arabic
Fluent
Spanish
Conversational
German
Fluent

Workplace preferences

Remote only

Primarily works remotely

Dislog
DATA ENGINEER
LOGISTICS AND SUPPLY CHAIN
January 2024 - Today (2 years and 7 months)
Casablanca, Morocco
Development of a global Big Data Warehouse for Dislog, integrating data from five major systems (ERP,WMS,TMS,FFS,... ) to enable ad vanced analytics and business intelligence.
• Key Responsibilities:
• Architecting and implementing a scalable data warehouse solution to unify disparate data sources.
• Designing ETL pipelines to extract, transform, and load (ETL) data efficiently across various business units.
• Ensuring data governance, security, and compliance across all inte grated systems.
• Coordinating cross-functional teams to streamline data flows and optimize performance.
• Technologies used: Apache NiFi Snowflake SQL Server Python Airflow AWS Glue SSIS Power BI Docker
Python Data warehouse ETL (Extract, Transform, Load) Processes Data integration (ETL, ELT and data warehousing)
COPAG
DATA ENGINEER
June 2023 - July 2024 (1 year and 1 month)
Casablanca, Morocco
Development of an Apache Airflow pipeline to transform SQL Server data into XML, using Docker for the local environment and deployment on AWS.
• Technologies used: Docker Airflow SQL server Python AWS Flask SQL
SQL Server Python Snowflake Spark Kafka Streams
upwork
DATA ENGINEER
BANKING AND INSURANCE
June 2020 - September 2023 (3 years and 3 months)
Paris, France
• Development of a desktop application for collecting and analyzing data aimed at studying employee satisfaction.
• Technologies used: Docker Airflow SQL server Java NetBeans Server SQL
Java SQL Server Méthode agile Apache Druid Apache Kafka