RADHWENE Dhouafli

At AG2R La Mondiale, I led strategic data engineering initiatives with a strong focus on cloud migration, data security, and agile methodology implementation: • GCP Data Platform Setup: Designed and implemented a data platform on Google Cloud Platform, migrating critical data from Cloudera Data Platform. Leveraged Terraform for resource automation and optimized data handling in BigQuery to enable seamless access for business teams, following SAFe methodology principles to ensure alignment and collaboration. • Data Privacy and Compliance: Ensured GDPR compliance by implementing data masking, encryption, and right-to-forget protocols across the platform. Configured data lineage with Apache Ranger and Apache Atlas to maintain data privacy throughout. • Cloudera Migration to CDP 7: Spearheaded the migration from Cloudera Data Hub to CDP 7, enhancing platform performance and stability. This included Spark job tuning, process automation, and regression testing for a seamless transition. This experience has reinforced my expertise in cloud-based data architecture, agile compliance frameworks, and big data platform optimization, contributing to AG2R’s data strategy and operational efficiency.

During my tenure at EDF’s DSI Groupe, I supported the data analytics team by optimizing data workflows and integrating agile methodologies to enhance operational efficiency: Data Pipeline Design and Optimization: Developed and optimized data processing architectures, supporting data scientists in running efficient workflows on the data lake. Integrated Spark tuning and Airflow for seamless orchestration, and customized operators to automate routine processes. DevOps & DataOps Implementation: Introduced DevOps and DataOps practices to reduce application deployment times and streamline data science workflows. Collaborated closely with cross-functional teams following the SAFe framework to improve alignment and project agility. Cross-functional Service Expansion: Contributed to expanding EDF's analytics capabilities, supporting cloud adoption and the introduction of DevOps, DataOps, and MLOps concepts within the data engineering environment. This experience at EDF refined my skills in data architecture, big data operations, and agile methodologies, strengthening EDF’s data engineering capabilities and operational efficiency.

• Big Data and analytics developments(Scala, Java, and Python ). • Finding the best tech solution to solve existing business problems. • Building a data ecosystem on-premises and in the Cloud(technical design, configuration, industrialization and integration with existing ecosystem). • Migrate data from legacy systems to new solutions. • Improve system performance by conducting tests, troubleshooting and integrating new elements. • Develop solutions to store and retrieve company information. • Coordinate with the Data Scientist to identify future needs and requirements. • Analyze the structural requirements for new business needs. • Design Backup policies.

R&D Engineer: -Data engineering. -technical architecture design and validation. -It services performance tuning. -Big Data plateform benchmarking . -Big Data cluster design and deployment.

-Big Data and Analytics :Development of Big Data pilot for Mediation zone and Real Time Fraud Detection : -Streaming platefrom Architecture desing. -ASN.1 Data flow mediation. -Distributed storage management. -Real time fraude detection. - HUR: Hight Usage Reporting of subscribers. -continious integration and upgrade .

- Real Time Application for Real Time Fraud Detection . - In this Application We have exploited the efficiency and the scalability of Big Data Technologies In Stream processing and Machine Learning algorithms

-Real Time Big Data Application for Data Flow processing for an IOT platform -Data flow Storage, Processing and Real Time visualization for Smart Objects status (Air Quality ,Smart House ,Agriculture...)

-XDSL and MPLS technologies -Router and Switch Configuration for backbone infrastructure