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.

Industry field of expertise

Languages

Arabic
Native or bilingual
French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Guyancourt (up to 50km)

LabelVie (Carrefour Maroc)
Cloud Data Architect – Azure, Databricks & AI Platform
RETAIL (SMALL BUSINESS)
January 2025 - September 2025 (8 months)
Casablanca, Morocco
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
February 2024 - February 2025 (1 year)
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
January 2021 - January 2024 (3 years)
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.