Freelancer profile translated to English.
Back to original languageAbout Armel
Since my beginnings in 2014, I have built my career around data, working across the entire decision-making chain. Throughout my experiences, I have evolved in different environments:
• data,
• ETL tools,
• data visualization tools,
• as well as testing and qualification tools.
I am also enthusiastic about continuing to discover and master new tools through my upcoming assignments.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- SELECTOURData Architect | Data Engineer | Data Analytics EngineerTRAVEL AND TOURISMNovember 2024 - Today (1 year and 9 months)PROJECT 1 - SALESAs part of digital transformation and the implementation of data governance,the Travel Agency X wished to strengthen the monitoring and analysis of reservations made by itsagencies with the central reservation systems.Achievements:• Gathering and formalizing business needs, in direct contact with operational departmentsand the IT department.• Writing functional and technical specifications, including source-target mappingsand integration management rules (Json, Rest).• Advanced modeling according to OneLake, Lakehouse, Delta Lake, Warehouse,Medallion, Data Mesh, and Data Vault approaches.• Design and implementation of Fabric deployment pipelines to automate deliveries between DEV/TEST/PROD environments with Git/GitHub and Azure CI/CD DevOps.• Integration of Copilot in Fabric and Data Agent to accelerate pipeline development via automatic Python/T-SQL code generation.• Implementation of complex transformations via dbt for sales data modeling and creation of specialized datamarts.• Design and deployment of Lakehouse views (MLV) to expose complex data via simplified SQL interfaces.• Use of Copilot for Power BI and DAX to automatically generate sales reports with narrative summaries.• Development of automated ingestion chains (AWS S3 / Azure Blob Storage →OneLake) via Microsoft Fabric Pipelines and Azure Data Factory.• Orchestration via Power Automate.• Construction of semantic models and interactive Power BI dashboards with advanced DAXfor sales and margin monitoring.• Proactive monitoring with KQL and integration with Azure Log Analytics.
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