Freelancer profile translated to English.
Back to original languageAbout Cédric
Experienced Data Engineer / Data Analyst with over 5 years of experience in designing, industrializing, and operating data platforms.
I assist companies in implementing reliable data pipelines (ETL/ELT), structuring data warehouses/lakehouses, and leveraging data through decision-making dashboards.
I work across the entire data chain: ingestion, transformation, quality, monitoring, governance, and visualization (Power BI). Familiar with Cloud environments (Azure / Fabric, Databricks, AWS), industrial, and business data, I collaborate closely with technical and business teams to produce robust, documented, and performance-oriented solutions.
Types of missions: Python/SQL pipeline industrialization, data architecture, reporting and KPIs, industrial performance, marketing analytics, data platform migration and optimization.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Eli Lilly and CompanyPerformance Engineer / AnalystPHARMACEUTICALS INDUSTRYJanuary 2026 - Today (5 months)Strasbourg, FranceTools: Fabric• · Azure◦ · Power BI◦ · SQL◦ · Python◦ · PostgreSQL◦ · Seeq◦ · Git• • Collection and ingestion of data from production systems.• • Standardization of industrial data Python pipelines (ETL/ELT).• • Ingestion and consolidation of large volumes of data into PostgreSQL.• • Deployment in production of reliable and traceable industrial data pipelines.• • Power BI Dashboards for real-time performance monitoring of production lines.
- Centre Technique des Industries MécaniquesMarketing Data Engineer / AnalystMECHANICAL ENGINEERINGAugust 2024 - September 2025 (1 year and 1 month)Senlis, FranceTools: Fabric• · Azure◦ · Dynamics 365◦ · Power BI◦ · SQL◦ · Python◦ · Databricks• • Data architecture and ETL/ELT pipelines on Azure / Fabric.• • Industrialization, monitoring, and reliability of data flows.• • Semantic models, marketing KPIs, and Power BI dashboards (360° view).• • Scoring, segmentation, and NLP for analysis automation.• • Business collaboration and data adoption support.
- LeadComOptimization Data EngineerTELECOMMUNICATIONSJune 2023 - October 2023 (4 months)Abidjan, Côte d'IvoireTools: AWS• · SQL◦ · Python◦ · Git◦ · PySpark◦ · SQL Server◦ · Nemo Analytics• • Automated pipelines for network data collection and processing• • Log and data analysis for anomaly detection and optimization• • Power BI dashboards for KPI monitoring and decision support
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Education
- Master of Scienceaivancity School of AI & Data2025Master of Science
- Computer Engineering Degree with specializationTélécom, Cefive2018Diplôme d'Ingénieur en Informatique option
Certifications
- Certified PL300: Power BI Data Analyst AssociateMicrosoft
- AWS Certified AI PractitionerAWS