Ahmed-Amine ARBOUN

Led strategic initiatives to enhance payment ecosystems, designing scalable solutions and guiding teams in technology migration. Engaged in most enterprise architecture phases, from qualification to application, data and solution architectures. • Centralized Data Lake Platform: Architected using Cloudera CDP for payment data flows centralization. • Payment Fraud Detection: Architected real-time fraud detection solutions using Apache Flink and AI. • Payment Data Analytics Platform: Engineered data platform for Cash Management, Cash pooling and Factoring to enable dashbording and advanced analytics. • Payment Monitoring: Architected real-time monitoring solutions for anomaly detection.

As an entreprise and data architect, I contributed with EA team to architect a Global Data Platform intended to unify, centralize and harmonize data from all Allianz Operating Entities (OE). Target Architecture Analysis and Technical Architecture Documentation (TAD) Conducted comprehensive studies on the target architecture and authored Technical Architecture Documents (TAD) to ensure alignment with business needs and technical requirements. Technology Recommendations Proposed optimal solutions such as Synapse, Databricks, and Azure Data Factory to enhance data processing, integration, and analysis within the centralized data platform. Blueprints and Architectural Principles for Data Vault Modeling Developed blueprints and architectural principles for Data Vault modeling, facilitating flexible, scalable, and secure data management while ensuring effective governance and seamless integration across Allianz's various entities.

• Architected and implemented a Data platform at CMA France, utilizing Azure Data Factory for pipeline creation. • Designed a Data Vault model to structure data effectively for improved data quality monitoring. • Developed dashboards for data quality monitoring to ensure accurate and timely insights.

Led the design and implementation of applications to protect Chanel products against counterfeiting and diversion. Key responsibilities included: Audit and Assessment: Conducted comprehensive audits of existing systems to identify vulnerabilities and enhance security. Application Evaluation: Assessed web applications and Python scraping scripts for efficient data extraction. Collaboration: Worked with development teams to identify improvements and align solutions with business requirements. Recommendation Documentation: Developed an optimized architecture and remediation plan to strengthen protection systems. Development Oversight: Supervised the development and deployment of ETL pipelines on Azure Data Factory for seamless data management.

As a Data Lake Architect at CACEIS, I designed and implemented a scalable data architecture to centralize financial and operational information, supporting depositary bank operations, funds administration, middle office control, and portfolio valuation. I defined and validated a Lambda architecture for the Data Lake, approved by McKinsey, to ensure efficient large-scale data management and processing. I designed and integrated data flows between various sources and technologies, such as Kafka, HBase, Hive, and HDFS, to ensure smooth data management. I implemented batch processing with Spark SQL and real-time processing with Spark Streaming to efficiently handle data according to business needs. I oversaw the setup and administration of the Hadoop platform (HDP 2.6.5), ensuring its proper functioning and scalability for massive data volumes. I managed the migration from HDP 2.xx to HDP 3 and CDP 7, in collaboration with Crédit Agricole Group and Cloudera, to modernize the architecture and improve data processing performance. I installed and configured PPROD and PROD environments using tools such as Talend (TAC and JobServer), StreamSets, and Vertica to facilitate large-scale data integration and processing. I designed and deployed real-time streaming jobs with StreamSets and Talend Big Data Real Time for efficient real-time data management. I put Machine Learning models into production, automating their deployment and ensuring their reliability and performance in a production environment. I implemented data governance through data lineage and quality tracking with Apache Atlas to ensure compliance, traceability, and accuracy of data within the platform.

Led the development of a data reporting platform for the Professional Football League (LFP) using Azure Cloud architecture. Key responsibilities included: Architectural Design: Created a scalable Azure architecture to handle large data volumes (65 TB) for LFP's data management and reporting needs. DataOps and CI/CD: Established CI/CD pipelines for automated development and deployment of data flows, ensuring continuous delivery. Analytical Solutions: Developed and deployed Azure Data Lake Analytics (ADLA) jobs and Azure Data Factory (ADF) pipelines for efficient data processing. Power BI Dashboards: Designed interactive Power BI dashboards for LFP teams to visualize and analyze data. Cost Optimization (FinOps): Implemented FinOps practices to optimize Azure Cloud resource costs.

As CTO and founder of the Data Business Unit, I spearheaded the design and delivery of enterprise-scale data solutions (data lakes, governance frameworks, ML pipelines) for global clients across automotive, telecom, cybersecurity, and luxury sectors. Led a 20-member team of engineers and architects, managing end-to-end project lifecycles from pre-sales to production, while driving technical strategy, data governance, and solution industrialization. Key Contributions: Technical Leadership: Architected scalable data platforms (Hadoop, Spark, AWS/Azure) and governance frameworks for Fortune 500 firms, aligning technology with business goals. Large-Scale Deployments: Delivered a 15 TB Data Lake for a media giant, integrating CRM, web logs, and backend systems to unify customer insights. Automated multi-country Data Marts for a Japanese automaker, streamlining marketing analytics across 20 markets. Innovation: Built real-time threat detection (Elasticsearch, Spark) for a cybersecurity leader and ML-powered marketing scoring models. Centralized KPIs for a French automaker, enabling ROI tracking via Tableau dashboards. Governance & Efficiency: Implemented data lineage (Apache Atlas) and automated cleansing processes, boosting data reliability. Cut costs via ETL automation (Talend, Python) and cloud migration. Team Building: Scaled and mentored high-performing teams, adopting Agile to optimize resource allocation and project delivery. IT Infrastructure Leadership: Deployed high-performance Hadoop clusters and managed 200 TB backups with hourly replication. Designed secure, scalable IT ecosystems (firewalls, VPNs, Hyper-V virtualization) and led infrastructure upgrades (Dell servers, Cyberoam). Oversaw collaborative tools (Exchange, Teams), user support, and IT roadmaps.

As a Developer and Project Manager, I designed and implemented innovative solutions, including intranet applications, websites, and web services for both internal and external needs. My role involved managing the development of services and batch processes for handling large volumes of data, ensuring optimal performance.