DATA ENGINEER · CASABLANCA

About Me

I am a Data Engineer focused on building reliable data systems and useful analytics solutions that support real business decisions.

I work across data pipelines, cloud platforms, transformation layers, and dashboards, with a strong interest in turning technical work into practical business value.

5+ YEARS OF PROFESSIONAL EXPERIENCE

My experience spans production data engineering, analytics, reporting, and data collection systems. I enjoy building solutions that are technically solid and easy for stakeholders to use.

I work at the intersection of engineering and business clarity — helping teams get from raw data to decisions without unnecessary complexity.

Core capabilities
Data Pipelines
Production-grade ETL/ELT
Cloud Platforms
Azure, Databricks, Snowflake
Analytics
dbt, Power BI, SQL
Data Products
Dashboards & monitoring tools
Data Collection
Scrapy, Playwright, Celery
EXPERIENCE

Professional Timeline

2021 → Present

Data Engineer

SQLI
  • Data engineering on production pipelines using Azure Data Factory and Databricks
  • Monitoring solutions for Bronze / Silver / Gold data layers
  • Ensuring data reliability, file validation, and pipeline execution tracking
2019 → 2021

Data Engineer / Analyst

Smile Maroc
  • Multi-region sales analytics platform (client: Somfy)
  • Data transformation and modeling with dbt and Snowflake
  • Business reporting dashboards delivered via Power BI
2018 → 2019

Data Engineer

Scientiae
  • Data analysis and pipeline work for scientific and business datasets
  • Reporting and data preparation for stakeholder deliverables
2017 → 2018

Telecom Data Analyst

Huawei
  • Telecom data analysis and quality reporting
  • Data collection and processing pipelines for network performance
2015 → 2017

Data Analyst

Majorel
  • Quality analysis and performance reporting
  • Analytical foundations in structured reporting and data tracking
PHILOSOPHY

How I think about data.

01

Reliability First

Data systems are only useful when they work consistently. I build for edge cases and failure scenarios, so the data is always there when decisions need to be made.

02

Business Context Before Code

Every technical decision should trace back to a business need. I start by understanding what the data needs to do for the people using it.

03

Utility Over Complexity

Simple, maintainable systems scale better than clever ones. I prefer solutions that are easy to understand, debug, and extend.

Want to work together?

Whether you need a data pipeline, an analytics dashboard, or a clearer picture of your business data — let's talk.

CONTACT MEVIEW PROJECTS