About Abderrahim
French
Native or bilingual
Arabic
Native or bilingual
Experience
- ORANGEMANAGER - ENTERPRISE DATA ARCHITECTTELECOMMUNICATIONSJune 2024 - Today (2 years)Paris, FranceI 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.
- HUBADVISERMANAGER - ENTERPRISE DATA ARCHITECTSeptember 2021 - May 2024 (2 years and 8 months)Paris, FranceAs 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.
- DELIVEROOLEAD DATA ARCHITECTSeptember 2020 - August 2021 (11 months)London, United KingdomWithin 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 scienceSorbonne University2004Master’s degree in electrical engineering and computer science, Sorbonne University
Certifications
- AWS Certified Solutions Architect – ProfessionalAmazon Web Services (AWS)2024
- SnowPro Advanced: Architect CertificationSnowflake2024