About Rodrigue
French
Native or bilingual
English
Conversational
Experience
- POMONAData EngineerAGRICULTURESeptember 2024 - Today (1 year and 9 months)Antony, FranceContext.POMONA Group wishes to implement a Data Warehouse on Snowflake with the aim of centralizing and optimizing the management of data related to inventory, orders, and sales. The main objective is to provide a single, reliable, and scalable data source to meet reporting needs related to supplier service rate monitoring.Work Performed.- Participation in needs analysis workshops- Contribution to the development of the target architecture and technological choices- User creation and permission management on Snowflake- Implementation of an access rights policy for different Snowflake objects- Implementation of unit tests to ensure data accuracy- Implementation of a deployment strategy for dbt models in different environments- Creation and modeling of datamarts in different environments- Design of automated data pipelines for data ingestion and transformation- Monitoring of dbt models to detect and resolve anomalies- Responsibility for the management and configuration of dbt and Snowflake instancesDeliverables.- Versioned dbt pipelines with integrated automatic tests- Datamarts built in Snowflake and optimized for BI needs- Power BI reportsTechnical Environment:Snowflake, dbt, Gitlab, SAP, SNP Glue, Power BI
- BforBankData EngineerBANKING AND INSURANCEAugust 2023 - June 2024 (10 months)Puteaux, FranceContext.In a context of developing new banking offers and increasing demand for activity monitoring dashboards, BforBank wished to strengthen its data strategy by implementing a modern infrastructure based onGoogle Cloud Platform (GCP)and **Looker**. The main objective was to improve data accessibility, facilitate real-time analysis, and enhance decision-making.Work Performed.
- Participation in analyses, impact assessments, and technical scoping
- Collaboration with business teams to identify their data visualization needs and propose suitable solutions
- Creation of new data products and evolutionary and corrective maintenance of existing data products
- Design of automated data pipelines for integrating and transforming data from Kafka topics
- Creation of activity monitoring dashboards allowing managers to track company performance in real-time
- Training of end-users on Looker usage to promote tool adoption and team autonomy
- Technical documentation of data products
- Participation in data migration to the Google Cloud Platform, enabling better data management and security
Deliverables.- Versioneddbtpipelines with integrated automatic tests
- Datamarts built inBigQueryand optimized forBIneeds
- Implementation ofself-service BIonLookerfor business teams, reducing reliance on technical teams.
- UGC CinéData EngineerFILM AND AVApril 2023 - July 2023 (3 months)Neuilly-sur-Seine, FranceContext.UGC Group undertook to centralize data from its various cinemas into a single **Data Warehouse**. The objective is to provide a unified platform for different business domains (marketing, cinemas, finance) to strengthen data-driven decision-making and improve operational efficiency.Work Performed.
- Gathering user requirements
- Analysis and extraction of relevant data from multiple databases from different cinemas
- Design and implementation of a robust Data Warehouse architecture, based on a Data Vault data model to meet scalability and historical data management needs
- Implementation of optimizations to ensure high performance for analytical queries, while maintaining flexibility to add new data sources to the Data Warehouse
- Workflow orchestration to ensure regular and reliable loads.
Deliverables.*Data Vaultdata models- Scalable and optimized Data Warehouse
- Automated Data Pipelines
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Education
- Specialized Master in Business Intelligence & AnalyticsEISTI2020Le programme Mastère Spécialisé® est validé par un bac+6 accrédité par la Conférence des Grandes Écoles. La formation comprend : - Théorie de la Business Intelligence : chaîne décisionnelle (vision globale et approche détaillée des différentes phases de la chaîne), modélisation, conception des différentes phases, exemples de mises en place. - Gestion de projet décisionnel : fondamentaux de la gestion de projets et focus sur les spécificités d’un projet BI - Pratique de la Business Intelligence : gestion de la qualité des données (MDM), extraire, transformer et charger (ETL), reporting, multidimensionnel, datamining. - Projet d’entreprise BI : les étudiants mènent un projet BI d’entreprise. Celui-ci consiste en la mise en place d’une solution décisionnelle en réponse à une problématique proposée par une entreprise. Ce projet permet aux étudiants de consolider leurs acquis dans le cadre d'un projet réel.
Certifications
- Google Cloud Certified Professional Data EngineerGoogle Cloud2023
- Looker Certified LookML DeveloperGoogle Cloud2022