Zaradacht Taifour
Analytics EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.