Description

Azure Data Solution Architect | Cloud, Security, DevOps & AI Expert

Microsoft Certified Azure Solutions Architect Expert, Cybersecurity Architect, and DevOps Specialist with 11 years of experience delivering secure, scalable, and AI-driven data solutions. Certified Databricks Professional in Data Engineering and Machine Learning, with expertise in cloud architecture, big data engineering, MLOps, and cybersecurity for enterprise transformation.

Certifications

Architecture & Security: Azure Solutions Architect Expert, Cybersecurity Architect Expert, Azure Security Engineer Associate

AI & Machine Learning: Azure AI Engineer Associate, Databricks Machine Learning Professional, Generative AI Engineer Associate

Data Engineering: Fabric Data Engineer Associate, Databricks Data Engineer Professional & Associate

Cloud & Big Data: Databricks Apache Spark Developer

Expertise

Cloud & Data Architecture: Hybrid and multi-cloud, Lakehouse, cost optimization (Azure, Databricks, Fabric)

Cybersecurity & Compliance: IAM, Zero Trust, encryption, DevOps security, data governance

DevOps & CI/CD: Terraform, Bicep, Kubernetes, Azure DevOps

Data Engineering & Big Data: PySpark, Delta Lake, Synapse, real-time analytics pipelines

AI & MLOps: Automated deployment, monitoring, retraining (Azure ML, MLflow, Databricks)

Key Achievements

Designed enterprise-scale Lakehouse and Delta Lake architectures for batch & streaming workloads (+65% performance)

Delivered hybrid and full cloud architectures at BNP Paribas, ensuring security and compliance with Zero Trust

Automated MLOps workflows for AI model deployment, monitoring, and retraining at Carrefour/LabelVie

Led data transformation at BPCE Group, integrating predictive ML and ESG risk forecasting

Implemented CI/CD frameworks for Databricks, ADF, and Synapse using Azure DevOps and Terraform

Professional Philosophy

Passionate about data, security, and AI, I design solutions that turn information into a strategic advantage.

Domaines d’expertise

Langues

Arabe
Bilingue ou natif
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

Accepte de travailler sur site

Guyancourt (jusqu’à 50 km)

LabelVie (Carrefour Maroc)
Cloud Data Architect – Azure, Databricks & AI Platform
COMMERCE DE DÉTAIL
janvier 2025 - septembre 2025 (8 mois)
Casablanca, Maroc
Cloud Data Architect – Azure, Databricks & AI Platform

Key Responsibilities:

Designed and validated the target Azure Data & AI architecture (HLD/LLD), covering governance, resilience, and performance in alignment with the Azure Well-Architected Framework.

Implemented a multi-hop Databricks Lakehouse (Bronze → Silver → Gold) with Auto Loader, Delta Live Tables, and advanced optimizations (+65% performance on batch & streaming).

Built and industrialized Machine Learning pipelines with Databricks ML, MLflow, and Azure ML, integrated into a CI/CD & MLOps framework for automated deployment, retraining, and monitoring.

Established a Data Quality & Governance framework with Unity Catalog (lineage, RBAC, RLS/CLS, encryption, GDPR/ISO 27001 compliance).

Enforced Zero Trust security using Private Endpoints, Managed Identities, MFA, and Conditional Access, achieving RTO <15 min and RPO <5 min.

Automated multi-environment deployments (DEV/REC/PROD) with Azure DevOps, Template Specs, and Terraform.

Provided technical leadership and coaching to a team of 8 engineers/architects, ensuring alignment between technical delivery and business objectives.

Achievements:

Delivered a secure and governed enterprise Lakehouse platform validated through HLD/LLD.

Improved processing performance by +65% across batch and streaming workloads.

Enabled real-time ML deployment, powering predictive insights in Power BI & Microsoft Fabric.

Established a sustainable CI/CD & MLOps operating model with end-to-end automation.

Strengthened security and compliance posture with a Zero Trust architecture.
Azure DevOps Azure Data Factory Data Architect MLOps Machine learning
BPCE Groupe
Tech Lead Machine Learning & AI Automation
février 2024 - février 2025 (1 an)
Paris, France
Tech Lead – Data Transformation, Machine Learning, and AI Automation
Key Responsibilities:
-Designed and implemented automated data extraction workflows using Alteryx, SSIS, and PowerShell, streamlining data integration from multiple sources (SharePoint, APIs, flat files).

-Leveraged Azure Analysis Services (AAS) for tabular cube storage and predictive modeling, enabling real-time business intelligence and forecasting.

-Developed and deployed Machine Learning (ML) models in Alteryx for predictive analytics, including clustering, regression, and anomaly detection, to enhance risk analysis and financial forecasting.

-Optimized ETL processes by designing and fine-tuning SQL Stored Procedures, Functions, and Triggers, ensuring data integrity and performance.

-Automated data pipelines using Alteryx and SSIS, enabling scalable and repeatable workflows for data transformation and ML model scoring.

-Integrated AI-driven insights into Power BI dashboards, providing real-time decision-making capabilities for financial and risk analytics teams.

Achievements:
-Increased operational efficiency by automating workflows, reducing manual intervention and processing time.

-Enhanced business intelligence by integrating AI-based predictive analytics into decision-making processes.

-Developed scalable ML models for risk management, financial forecasting, and ESG reporting, improving accuracy and strategic planning.

-Optimized reporting capabilities by ensuring seamless integration between Azure, SQL Server, Alteryx, and Power BI.
BNP PARIBAS
Cloud Security Architect & Azure Databricks Expert
janvier 2021 - janvier 2024 (3 ans)
Montreuil, France
Cloud Security Architect & Azure Databricks Expert
Key Responsibilities:

-Designed and implemented a scalable hybrid Azure architecture integrating Azure Databricks, Synapse Analytics, and Power BI for secure, high-performance data workflows.

-Architected a Multi-Hop Data Lakehouse using Databricks Delta Lake (Bronze, Silver, Gold layers) for optimized data lineage and governance.

-Implemented CI/CD pipelines using Azure DevOps, GitHub Actions, and Terraform for automated deployments.

-Enforced Zero Trust security with RBAC, MFA, Row-Level Security (RLS), and Column-Level Security (CLS).

-Conducted cybersecurity attack simulations and hardened defenses against SQL Injection, XSS, brute-force, and DDoS attacks.

-Optimized Databricks workloads, reducing query execution time by 65% using partitioning, Delta Live Tables (DLT), and Photon Engine.

-Integrated Structured Streaming for near real-time data ingestion with Auto Loader and CDC pipelines.

-Designed Power BI models with DirectQuery on Synapse, reducing query time by 40% using advanced DAX techniques.

Achievements:

-40% faster Power BI queries through DAX optimization and Synapse integration.

-65% ETL acceleration using Databricks Photon and Z-Ordering.

-50% cost reduction with Serverless SQL and caching strategies.

-95% attack mitigation through Zero Trust and advanced monitoring.

-Enabled real-time analytics with CDC pipelines and minimal latency.

-Validated architecture with Microsoft engineers for compliance and best practices.