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Senior Data Engineer | Solving Data Silos & Pipeline Chaos | Providing Tailored Cloud Data Infrastructure
I help organizations eliminate data silos, unify KPIs, and build decision-ready analytics platforms that business teams actually trust and use. I don't build tech just to build tech. If it doesn’t solve a real business problem, it’s digital noise. That approach has helped teams cut reporting time by 75%+ repeatedly. My work sits at the intersection of data architecture, analytics engineering, and business alignment. The goal is simple: turn fragmented data into a single, reliable source of truth.
Aalto University
Master's degree, Computer Science
January 1, 2020 – January 1, 2020
Université Internationale de Rabat
Master's degree, Big Data & Data Science
September 1, 2016 – July 1, 2021
Lacoste
Senior GCP Data Engineer
October 1, 2024 – Present
Paris · Remote
Wafa Assurance
Senior Azure Data Engineer
January 1, 2024 – October 1, 2024
Casablanca-Settat, Morocco · Hybrid
Lacoste
GCP Data Engineer | Lacoste
August 1, 2023 – December 1, 2023
Paris, Île-de-France, France · Remote
Ministry of Tourism of Qatar
GCP Data Engineer
April 1, 2023 – August 1, 2023
Casablanca-Settat, Morocco
Attijariwafa bank
Data Engineer
November 1, 2021 – March 1, 2023
Morocco · Hybrid
Université Internationale de Rabat
Research Assistant
February 1, 2021 – July 1, 2021
Rabat, Rabat-Salé-Kenitra, Morocco · On-site
OCP Group
Internship Trainee
June 1, 2019 – July 1, 2019
Casablanca, Casablanca-Settat, Morocco
Built a cloud-native landing zone and data platform for WAET, reducing a 2–3 week manual process to a fully automated 3-minute workflow.
January 1, 2026 – Present
Designed and implemented the platform using Infrastructure as Code (Terraform), automated ingestion and processing pipelines, cloud orchestration workflows, and production-ready documentation to ensure scalability, maintainability, and operational reliability. Key outcomes: • Reduced processing time from weeks to minutes • Eliminated repetitive manual operational tasks • Improved reliability, scalability, and visibility • Enabled the client to focus on business outcomes instead of operational bottlenecks Tech stack: GCP, Terraform, BigQuery, Cloud Workflows, Cloud Run, Python, ETL/ELT Automation
Microsoft Certified: Azure Data Fundamentals
Microsoft
June 25, 2026 – Present
Data build tool (dbt)
dbt Labs
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple companies (Lacoste, Wafa Assurance, Ministry of Tourism of Qatar, Attijariwafa bank) and cloud platforms (GCP, Azure, Cloudera) demonstrates adaptability and a broad technical perspective. The project to build a cloud-native landing zone and data platform from scratch shows initiative and a product-oriented mindset, aligning well with a culture that values innovation and end-to-end ownership. The target role of 'Analytics Engineer' aligns well with the candidate's strong background in data transformation (dbt), pipeline development, and analytics model delivery.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving (reducing manual processes, cost optimization), collaboration (working with business teams, agile teams), and ownership (full development lifecycle, incident resolution). These indicate a strong operational fit and valuable soft skills for a senior role.