À propos de Marwane
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Expériences
- ConfidentialSenior Data & AI ConsultantBANQUE & ASSURANCESavril 2025 - Aujourd'hui (1 an et 2 mois)Paris, FranceContributed to the modernization and structuring of the company’s Data & BI ecosystem within a fast-growing leasing and financial services environment.Held a highly cross-functional role combining analytics engineering, data analysis, BI delivery and GenAI pilots, working closely with Finance, Risk, Marketing and Executive stakeholders.Key Responsibilities & Contributions :
- Contributed to the evolution of a modern data platform built on Snowflake
- Developed and maintained scalable ELT pipelines using dbt (modular modeling, testing, documentation, environment separation)
- Built ingestion and transformation pipelines from multiple source systems (ERP, CRM, operational databases) using advanced SQL
- Designed and implemented custom Fivetran connectors, enabling ingestion from external APIs (e.g., OpenDataGov) and internal systems
- Architected data landing and processing layers using AWS S3 and AWS Glue
- Set up and configured AWS MWAA (Managed Airflow), developing and orchestrating DAGs for end-to-end workflow automation
- Contributed to infrastructure management using Terraform and GitLab-based CI/CD workflows
- Designed analytical data marts and business-ready datasets for Finance, Risk and Operations
- Developed and optimized executive dashboards in Power BI (data modeling, DAX, performance tuning)
- Implemented automated governance and monitoring tools for Power BI reports (usage tracking, access control visibility, reporting oversight)
- Collaborated directly with business stakeholders to translate operational needs into scalable analytical solutions
Technical Stack :Snowflake · dbt · SQL · Python · GitLab · Fivetran · AWS (S3, Glue, MWAA) · Terraform · Power BI · Oracle · MariaDB · SQL Server - PwCProject Manager - Data & AICONSEIL & AUDITjuin 2021 - avril 2025 (3 ans et 10 mois)Neuilly-sur-Seine, France📌 For a Global Industrial & ESG Leader- Led E2E development, deployment & run of a cloud ESG Data & AI Platform on Microsoft Azure, now used by 70+ of the world's largest cement manufacturers.- Enabled monitoring of sustainability metrics such as CO₂ emissions, energy consumption, and workplace safety.- Led steering committees, workshops, and change management initiatives to drive adoption and strategic alignment.📌 For a Global Logistics & Supply Chain Leader- Defined the AI & GenAI global roadmap, identifying automation use cases.- Led C-level executive strategy workshops, aligning AI-driven innovation with corporate objectives.- Collaborated with engineering and business teams to deploy scalable AI solutions tailored to logistics operations.📌 For a Major Financial Services Provider- Led testing and deployment on Databricks, ensuring seamless integration of complex financial datasets.- Developed real-time Power BI dashboards, providing C-level executives with insights into financial performance and risk management.- Spearheaded data governance strategies, enhancing compliance and data quality.📌 For a Major Banking & Investment Institution- Managed the full data product lifecycle, aligning advanced analytics with financial services needs.- Led development and deployment of a Data platform on AWS, optimizing data storage, processing, and reporting.- Developed dashboards, enabling real-time monitoring of Deeptech Startups’ financial indicators.- Designed automated data pipelines, streamlining financial reporting and risk analysis.📌 For a Top-tier global Insurance Company :- Orchestrated a large-scale migration, modernizing infrastructure for improved efficiency.- Designed and implemented advanced data models, enhancing accuracy and analytical capabilities.- Developed custom Power BI dashboards, providing real-time insights into risk and financial performance.
- RSM FranceConsultant Data & AnalyticsCONSEIL & AUDITjanvier 2021 - mai 2021 (5 mois)Paris, France
- Oversaw the processing and governance of large volumes of financial and transactional data
- Coordinated cross-functional teams to implement AI models aimed at detecting fraudulent activities
- Managed the automation of tax compliance audits, significantly reducing manual workload and error rates
- Ensured timely delivery of data solutions, aligning technical implementation with business goals and regulatory requirements.
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Formations
- Ingénieur - AI & Data AnalyticsTelecom Strasbourg2020
Certifications
- AWS Machine LearningAmazon Web Services2020
- Modernizing Data Lakes and Data Warehouses with Google CloudGoogle Cloud2020