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Abderrahim B.AB

Abderrahim B.

Manager / Enterprise Data Architect

€837/day
Dubai City, AE
15+ years

Average response time: 1 hour

About Abderrahim

Accomplished Manager and Enterprise Data Architect with a proven track record in designing and implementing large-scale, cloud-native data platforms across Snowflake, Databricks, AWS, GCP, and Azure with strong communication skills to collaborate effectively with technical and non-technical stakeholders.
  • French

    Native or bilingual

  • Arabic

    Native or bilingual

Can work on-site
Dubai City (up to 50km), Abu Dhabi Island and Internal Islands City (up to 50km)

Experience

  • ORANGE
    MANAGER - ENTERPRISE DATA ARCHITECT
    TELECOMMUNICATIONS
    June 2024 - Today (2 years)
    Paris, France
    I lead large-scale cloud migrations and data platform modernization across Azure, GCP, and AWS, managing a team of 10+ architects and engineers to design scalable, secure infrastructures, optimize data pipelines, and integrate federated governance and GenAI for advanced analytics.
     Worked directly with clients to understand their business needs, goals, and challenges, translating them into actionable data strategies.
     Designed and implemented scalable data platforms across Azure and GCP, integrating Snowflake, Databricks, and Denodo for seamless data access and governance.
     Designed target architectures and applied advanced data modelling techniques (ER, Dimensional modelling, Data Vault 2.0) and Data Standards and policies.
     Developed high-performance data solutions and models for storing, retrieving, and analysing large-scale datasets, ensuring efficiency and compliance with internal and external regulations.
     Led data migration and modernization efforts, transitioning from legacy systems to cloud-native architectures with minimal disruption and optimal performance.
     Automated provisioning and security governance with Terraform and CI/CD pipelines, streamlining infrastructure management and enforcing best practices.
     Integrated AI and machine learning capabilities with Vertex AI and Snowflake Cortex AI, implementing GenAI use cases and ML pipelines for intelligent analytics.
     Engineered retrieval-augmented generation (RAG) models and advanced search solutions, leveraging indexing, scoring, query rewriting, and frameworks like OpenSearch, Snowflake Cortex Search, LangChain.
     Mentored teams and trained product stakeholders on cloud data platforms like Snowflake and BigQuery, fostering best practices in data engineering and AI.
     Achieved measurable ROI by optimizing data pipelines, reducing operational costs by 20%, improving query performance by 40%, and enhancing governance efficiency by 30%, resulting in faster decision-making, stronger compliance.
    Python Terraform Gitlab CI/CD Amazon Web Services SAFe Google cloud Microsoft Azure Databricks
  • HUBADVISER
    MANAGER - ENTERPRISE DATA ARCHITECT
    September 2021 - May 2024 (2 years and 8 months)
    Paris, France
    As a CTO and Lead Architect, I led a team of six, driving product strategy for Data & AI, delivering scalable data architectures and AI-driven innovations for enterprise clients.
     Partnered with clients to understand business needs, goals, and challenges, translating them into actionable data strategies.
     Designed and implemented tailored data solutions, including data models, integration strategies, and reporting frameworks, to address client-specific requirements.
     Designed seamless data pipelines, optimizing integration between disparate systems (e.g., CRM, ERP, data warehouses, cloud platforms).
     Developed and optimized data models, including Entity-Relationship (ER) modelling, Dimensional modelling, and Data Vault 2.0, to ensure efficient data organization and retrieval.
     Optimized data architecture and storage solutions to enable efficient querying, reporting, and analysis.
     Ensured solutions met scalability, performance, and security requirements while adhering to best practices.
     Defined data quality frameworks, implementing validation, profiling, and cleansing processes.
     Defined key performance indicators (KPIs) and developed dashboards and reporting solutions to support data-driven decision-making.
     Provided recommendations for BI tools, data visualization platforms, and analytics frameworks.
     Developed comprehensive project documentation, including technical specifications, reports, and presentations, to track progress and communicate outcomes.
     Provided training and ongoing support to ensure smooth adoption and long-term success of data solutions.
     Achieved measurable ROI by optimizing data models and pipelines, improving operational efficiency by 25%, reducing client data processing costs by 40%, and increasing data-driven decision-making speed by 35%, driving higher business performance and client satisfaction.
  • DELIVEROO
    LEAD DATA ARCHITECT
    September 2020 - August 2021 (11 months)
    London, United Kingdom
    Within Market Intelligence domain, I designed and implemented a modern data architecture for competition analysis in the FoodTech industry, enhancing decision-making through scalable, high-quality data systems.
     Led the transformation of a shared data platform into a Data Mesh architecture on AWS, guiding a team to build scalable data products.
     Architected modern cloud-based data platforms, integrating Snowflake, Lambda, Glue, API Gateway, and implementing security measures such as IAM, RBAC, RLS, and data lineage tracking.
     Designed and implemented Data Lakehouse solutions for scalable data storage, processing, and management.
     Built and optimized ETL pipelines for extracting, transforming, and loading data from systems like Salesforce CRM into the Data Lakehouse.
     Developed advanced data models using ER, Dimensional modelling, and Data Vault 2.0.
     Designed and implemented end-to-end automation solutions to optimize data pipelines and improve cost-effectiveness.
     Conducted training sessions on Snowflake, BigQuery, and best practices for cloud and data architecture.
     Partnered with data engineering, analytics, and business intelligence teams to enhance cross-functional initiatives across the data platform.
     Achieved ROI by reducing time-to-insight by 30%, cutting infrastructure costs by 20% through cloud optimization, and increasing data availability by 25%, enabling faster, data-driven decisions and a competitive edge for clients in the FoodTech sector.

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Education

  • Master’s degree in electrical engineering and computer science
    Sorbonne University
    2004
    Master’s degree in electrical engineering and computer science, Sorbonne University

Certifications

Skill set (54)

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