À propos de Imen
Dynamic and results-driven Senior Data Engineer with a good experience in designing, building, and optimizing data pipelines and deloying machine learning models. Proficient in large-scale data processing, data warehousing solutions, and cloud platforms, leveraging tools such as AWS, SQL, and Python to drive data-driven decision-making. Expertise in transforming business requirements into analytical models, ensuring the reliability and accuracy of data systems while collaborating effectively with cross-functional teams.Outside of work, I enjoy playing the violin, which enhances my creativity and discipline, while my love for travel broadens my perspective and inspires my professional projects. Reading extensively complements these hobbies, providing a wealth of knowledge that fuels both my personal and career growth
Anglais
Bilingue ou natif
Français
Bilingue ou natif
Allemand
Capacité professionnelle limitée
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- Credit Agricole AssurancesLead Data Engineerjuillet 2023 - Aujourd'hui (2 ans et 11 mois)Paris, France• Design and development of technical solutions for integrating and exploring multi-source insurance data(SPARK, AWS CodeBuild, AWS Glue)• Design and deployment of unstructured data model architectures (MongoDB document data).• Data supervision and reporting dashboards for technical and operational metrics( AWS CloudWatch)• Data streaming processing (SPARK, KAFKA, KSTREAM, KSQLDB) using pyspark (SAPARK, AWS EMR).• Collaboration with AI factory teams to set up data piplines to explore and process AI models and ensure continuous deployment (AWS, SQL(Big Query)).• Organize workshops to share technical experience and raise awareness of best practices on various topics within the technical and business community.• Technical support for the team's Data Engineers (coaching, code review, peer programming .. )• Establishing and guaranteeing long-term compliance with a quality process covering the entire DEV cycle (documents, unit/integration/functional tests, feedback, versioning, etc.).
- BNP PARIBASData Engineerseptembre 2020 - juillet 2023 (2 ans et 10 mois)Paris, France• Design and development of a technical solution that is part of a strategy based on in-depth customer knowledge.• Real-time data processing (streaming, SPARK,PYTHON,CI/CD).• Development of an aggregation engine for data from different sources (key words: kafka streams, schema Registry,API).• Data processing, storage and orchestration : SQL( Tertadata, POSTGRES ) and NoSql databases (Mon goDB,Cassandra).• Projects Deployment: CI/CD pipelines, cloud (IBM cloud)• DATALAB structuring and feeding : python project to load a high data flow received from a web tracking tool into a TERADATA database.• Develop a parsing engine on transactional data to support data scientist in running their anti-fraud models. (Pyspark,Teradata, cloud...)• Design and execute application performance test strategies.• Collaborate Across Business and IT
- BNP PARIBAS -DATA FACTORYData Scientist internfévrier 2020 - août 2020 (6 mois)Paris, France• Predictive maintenance: Develop a machine learning model to predict incidents and alert in real time of malfunctioning components of data infrastructure(PYSPARK).• Develop an end-to-end performance testing strategy for applications that are based on the Flink and KAFKA Big data foundation and build a POC on a BNP application
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Formations
- Diploma of Higher Education: Engineering degree (DATA-IA)Centrale Lille2020Diploma of Higher Education: Engineering degree (DATA-IA)
- Diploma of Higher Education: Engineering degree (DATA-Finance)Tunisia Polytechnic School2020Diploma of Higher Education: Engineering degree (DATA-Finance)