Freelancer profile translated to English.
Back to original languageAbout Adrien
I am an experienced professional with 7 years of expertise in data analysis and visualization, particularly through Power BI. Recently, I have expanded my scope to specialize in Analytics Engineering practices, focusing on data pipeline transformation and analytical process optimization.
My work now covers the entire data lifecycle:
- Data extraction from multiple sources (databases, APIs, flat files, cloud tools, etc.)
- Data flow modeling and orchestration
- Creation of robust and automated pipelines for integration and transformation
- Development of scalable and performant data models
- Design of reliable and consistent metrics, aligned with business objectives
- Implementation of analytical tools and solutions for informed decision-making
- Collaboration with Data Engineering and BI teams to ensure the reliability and efficiency of analytical infrastructures
Passionate about efficiency and transforming raw data into actionable insights, I strive to build sustainable solutions tailored to evolving business needs. My goal is to support organizations in their transition to a strong data culture by enhancing automation and data quality to support their strategic decisions.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Paris (up to 50km), Cergy (up to 10km)
Experience
- LCLAnalytics EngineerBANKING AND INSURANCEJuly 2025 - Today (1 year and 1 month)Paris, France
- Building an end-to-end data platform from scratch with a team of 3 (2 data engineers + myself) for the launch of a neobank (L by LCL pro), enabling data-driven operations from day one, covering ingestion (Airbyte), transformation (dbt), orchestration (Dagster), and reporting across compliance, finance, risk, legal, and operations teams.
- Delivering self-service BI capabilities (Snowflake) and automated reporting pipelines, providing business teams with dashboards (PowerBI), flow monitoring, and regulatory reporting for accounting and compliance use cases.
- Establishing the data foundations for the bank's AI and analytics ambitions, by designing a scalable, governed architecture capable of supporting both analytical workloads and future machine learning initiatives across all business lines.
- L'Oréal SA - L'Oréal FranceData AnalystFASHION AND COSMETICSJanuary 2025 - October 2025 (9 months)Levallois-Perret, France
- Automation of Power BI dashboards for three major retailers, integrating multiple Excel files regularly received from business teams.
- End-to-end data processing: ingestion onto a data platform and development of data transformation pipelines (SQL/Python/Power Query) processing over 10 million lines with weekly/monthly granularity (store-level and EAN-level views).
- Delivery of automated and scalable Power BI reports and facilitation of training sessions for 80 users per session, ensuring strong adoption (50 daily active users).
- Pernod ricardAnalytics EngineerWINE AND SPIRITSNovember 2022 - June 2025 (2 years and 7 months)Paris, FranceFrom various data sources (internal and external), created an automated infrastructure and workflow for different markets (Korea, Mexico, Poland) to visualize:
- Consumption habits and consumer types
- Consumption locations and opportunities
Objective: to better position the group's various brands and adjust advertising and promotion budgets accordingly.Project in an international context: exchanges and presentations with markets in English.
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Education
- General Engineer, Industrial EngineeringIcam - Catholic Institute of Arts and Crafts, Lille2014Master 2 en Logistique et Systèmes d'informations. Diplômé en Septembre 2014.