About Souleimane
- Implementing a dbt transformation layer on your data warehouse, including tests, documentation, modeling, and analytics engineering best practices.
- Designing data pipelines and data engineering solutions on Azure Databricks to ingest, clean, and standardize your heterogeneous sources, even at high volumes.
- Developing business-oriented Power BI dashboards for your operational teams (sales, financial, operational performance). As a Power BI consultant, I assist with both design and user training.
- Data modeling and structuring modern data architectures (medallion, star schema, data marts) tailored to your business needs.
- Consolidating multi-source and multi-country data on an international scale.
- Automating manual reporting and replacing costly external solutions with sustainable internal alternatives using Python and SQL.
French
Native or bilingual
English
Fluent
Experience
- Renault TrucksAnalytics EngineerSeptember 2024 - Today (1 year and 11 months)Solely responsible for data topics within my scope, with complete ownership of the architecture, pipelines, and deliverables across Europe (20+ countries).Key achievements:
- Design and implementation of a complete medallion architecture on Databricks from scratch, centralizing heterogeneous data sources for vehicle registration tracking (500k+ records processed annually).
- Overhaul of the European Used Trucks Performance dashboard following Qlik's decommissioning, used by 50+ international stakeholders, with a 40% reduction in reporting preparation time through automation.
- Development of an internal competitive pricing intelligence solution replacing an external provider at €80k/year: Python scraping (Playwright) collecting 1000+ vehicle ads per week across 3 European markets (NL, UK, IT).
Stack: Azure Databricks, Power BI, Python, SQL, Playwright - Suez Eau FranceBI DeveloperSeptember 2022 - September 2024 (2 years)Development and industrialization of decision-making reports for the Eau France operational teams, with a focus on automation and adoption by business users.Key achievements:
- Development of Power BI dashboards for operational performance monitoring, used daily by field management teams.
- Automation of recurring report generation and data entry forms, reducing the production time for weekly analyses.
- Standardization and documentation of reporting processes to facilitate team adoption and knowledge transfer.
Stack: SQL Server Management Studio, Power BI, Report Builder, SQL, Python
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Education
- MSc Expert in Data EngineeringEPSI2026data engineer, spark, sql, python
- BUT Data ScienceIUT Lyon 22024Data science, data engineering, BI