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Data Engineer with 2+ years in Data Warehousing & ETL
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Assessing your cultural and operational fit
Highly motivated and skilled BI & Data Engineer with 2.8 years of progressive experience, specializing in data migration, data warehouse development, and BI system implementation. Proven expertise in requirements gathering, data modeling, ETL development using tools like SSIS and Azure Data Factory, and creating interactive dashboards with Power BI. Adept at collaborating with clients to deliver robust data solutions that drive actionable insights and system reliability across various domains.
Moroccan School of Engineering
Computer and network engineering
August 1, 2021 – June 30, 2024
Tangier Faculty of Science and Technology
Bachelor's degree in Computer Engineering · Computer Engineering
August 1, 2020 – June 30, 2021
Tangier Faculty of Science and Technology
Undergraduate studies · Mathematics-Computer Science-Physics-Chemistry
August 1, 2016 – June 30, 2020
OMNISHORE
Data Engineer
September 1, 2024 – Present
Casablanca, Casablanca-Settat, Morocco
OMNISHORE
BI Engineer
March 1, 2024 – August 1, 2024
Casablanca, Casablanca-Settat, Morocco
TELINTEC
Full Stack Developer
July 1, 2023 – September 1, 2023
Meknes, Fès-Meknès, Morocco
EMSI
Full Stack Developer
July 1, 2022 – September 1, 2022
Tangier, Tanger-Tétouan-Al Hoceïma, Morocco
Tanger-Soft
Full Stack Developer
April 1, 2021 – June 1, 2021
Tangier, Tanger-Tétouan-Al Hoceïma, Morocco
Data Migration and Report Development for a New Management System for the Law Firm Bassamat & Laraqui
March 1, 2026 – Present
• Requirements Gathering and Analysis: Collaborated with the client to identify requirements, analyze the existing system, and understand the data formats and schema. • Understanding the New System: Worked with the development team to analyze the new database structure. • Document Generation: Developed templates and mapping files to ensure alignment between the two systems. • Knowledge Base Implementation: Identified the required processing tasks based on business rules and constraints. • ETL Development: Built the migration pipeline using SSIS while complying with data ingestion, integration, and security standards. • Testing and Validation: Performed testing and validation of migrated data quality after pipeline execution at the application level. • Report Development: Developed interactive reports that meet the client's business needs using Power BI. • Report Testing: Generated reports based on migrated data and validated the accuracy and consistency of the information.
Data Migration to a New Automobile Insurance Management System for SNTL Assurance
December 1, 2025 – April 1, 2026
• Requirements Gathering and Analysis: Collaborated with the client to identify requirements, analyze the existing system, and understand the data formats and schema. • Understanding the New System: Worked with the development team to analyze the new database structure. • Document Generation: Developed templates and mapping files to ensure alignment between the two systems. • Knowledge Base Implementation: Identified the required processing tasks based on business rules and constraints. • ETL Development: Built the migration pipeline using SSIS while complying with data ingestion, integration, and security standards. • Testing and Validation: Performed testing and validation of migrated data quality after pipeline execution at the application level
End-to-End Azure Data Pipeline for Sales Data Analysis
October 1, 2024 – November 1, 2024
• Built an end-to-end data pipeline using Azure Data Factory, Databricks, and Synapse Analytics to provide real-time insights into customer demographics and sales trends. • Automated data workflows to provide stakeholders with up-to-date and actionable insights.
Data migration and development of a BI data warehouse for a land and cadastral management system, for ANCFCC
September 1, 2024 – Present
• Requirements Gathering and Analysis: Collaborate with the client to identify requirements, analyze the current system, and understand data formats. • Design and Modeling: Design the data warehouse, including templates, data dictionary, databases, tables, and relationships. • ETL Development: Create ETL pipelines for data migration and populating the data warehouse. • Deployment and Training: Deploy ETL processes on the client's infrastructure and train them on usage. • Testing and Validation: Test and validate ETL functionality to ensure system reliability.
Development of a BI system to analyze the different types of requests and payments made by clients, for ANCFCC
March 1, 2024 – August 1, 2024
• Requirements and Data Analysis: Collaborate with the client to identify KPIs and study the database and source data format. • Design and Development: Design the data warehouse, develop ETL pipelines, and create analytical cubes and queries for KPIs. • Visualization and Testing: Build dashboards and reports, and ensure the quality and accuracy of displayed information. • Deployment and Reporting: Deploy the solution on the client's infrastructure and enable real-time report generation within the application.
Consumer Purchasing Behavior Analysis System
March 1, 2023 – June 1, 2023
• Developed a Power BI dashboard to analyze consumer behavior across 10 shopping malls, providing actionable insights for marketing strategies.
Intelligent Electric Scooter Rental Management System
March 1, 2023 – June 1, 2023
Using Arduino, Spring Boot, React, and React Native
Machine Learning with Python
Coursera
June 1, 2026 – Present
Introduction to Containers with Docker, Kubernetes & OpenShift
Coursera
June 1, 2026 – Present
Introduction to Git and GitHub
Coursera
June 1, 2026 – Present
Google Business Intelligence
Coursera
June 1, 2026 – Present
DevOps, Cloud, and Agile Foundations
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience spans various industries (law firm, land management, insurance, retail), demonstrating adaptability and a broad interest in applying data engineering solutions to different business contexts. The mix of professional and personal projects, including an 'Intelligent Electric Scooter Rental Management System' and 'Consumer Purchasing Behavior Analysis System', indicates a proactive and curious mindset. Certifications in Machine Learning, DevOps, and Business Intelligence show a commitment to continuous learning and staying current with industry trends. The candidate's experience as a full-stack developer intern also suggests a versatile skill set and willingness to explore different technical domains, which can be beneficial for cross-functional collaboration.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong collaboration skills through 'Requirements Gathering and Analysis' with clients. The emphasis on 'Testing and Validation' suggests an attention to detail and commitment to data quality. Experience with Agile methodologies further points to an ability to work effectively in team-oriented, iterative development environments. The diverse project portfolio also suggests adaptability and problem-solving capabilities.