Freelancer profile translated to English.
Back to original languageAbout Bourennani
Data Consultant (Data Engineer | Analytics Engineer | Data Analyst) with significant experience on Data Engineering, BI, and automation projects, notably at SNCF Voyageurs.
I assist business and IT departments in designing modern data architectures, automating pipelines, and creating high-impact decision-making solutions.
Core Expertise:
- Data Platforms & Cloud: Azure (Synapse, Data Factory, Databricks), Snowflake, AWS, GCP
- Data Engineering: Automated ETL/ELT pipelines, PySpark, Dbt, orchestration
- BI & Reporting: Expert Power BI dashboards (advanced DAX), Looker, business KPI definition.
- Industrialization: Implementing CI/CD flows (Git, Docker), process automation, and data quality.
- Advanced Analytics: Statistical modeling, Machine Learning (Scoring, Clustering...).
Results-oriented approach: I transform complex data flows into robust architectures and actionable insights to facilitate decision-making.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Marseille (up to 50km), Nice (up to 50km), Lyon (up to 50km), Toulouse (up to 50km)
Experience
- SNCF VOYAGEURSData Engineer | Data AnalystTRANSPORTATIONSeptember 2023 - Today (2 years and 11 months)Paris, France
- Cloud Architecture & Pipelines: Design of data infrastructures on Azure and automation of ingestion to a Data Lake via Azure Data Factory.
- Data Engineering (ETL/ELT): Development of PySpark scripts on Databricks for cleaning and modeling, with orchestration by automated triggers to ensure data freshness.
- Analysis & Visualization: Creation of Power BI dashboards connected to Synapse Analytics (Serverless views) for TGV performance monitoring (punctuality, regularity), replacing weekly manual processes.
- Governance & Security: Management of access and secrets via Azure Active Directory and Key Vault.
- Operational Optimization: Complete automation of the data lifecycle, reducing manual errors and freeing up several weekly work hours for business teams.
- Mobility Analysis: Exploitation of passenger data to identify mobility trends
- BÉJAIA LOGISTIQUEData ScientistLOGISTICS AND SUPPLY CHAINJanuary 2022 - June 2022 (5 months)Béjaïa, Algeria
- Analysis and modeling with Python of a vehicle routing problem with capacity constraints using historical data.
- Use of classic graph algorithms such as Dijkstra and Bellman-Ford for shortest path calculation.
- Application of the k-NN algorithm to group nearby delivery points (Heuristic solution).
- Route optimization using simulated annealing algorithm (Metaheuristic).
- Visualization and performance monitoring via an interactive Streamlit application.
- NAFTAlDispatcherENERGY AND UTILITIESJanuary 2021 - March 2021 (2 months)Tizi Ouzou, AlgeriaStudy and analysis of fuel transport organization in the Tizi-Ouzou/Boumerdes region. My main tasks included:
- Route Planning: Using planning tools to determine the most efficient routes (distance optimization) taking into account traffic constraints, construction zones, and delivery deadlines.
- Driver Coordination: Working closely with drivers to ensure all necessary information is available for them to perform their job safely and on time.
- Delivery Monitoring: Monitoring deliveries in real-time using integrated tracking systems to ensure adherence to vehicle routes.
- Problem Management: Handling delivery-related issues such as delays or vehicle breakdowns. Continuous communication with clients to resolve delivery problems.
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Education
- Master 2 BIG DATA & AISup De Vinci - Information Systems Engineering2023Formation spécialisée dans l’analyse et l’ingénierie des données à grande échelle. Le programme couvre l’ensemble du cycle de vie de la donnée : collecte, extraction, transformation, stockage, analyse et visualisation. Compétences et technologies développées : - Analyse de données et statistiques pour la prise de décision - SQL et Python pour la manipulation et l’analyse de données - Data Engineering : préparation, nettoyage et transformation de datasets - Machine Learning et modélisation prédictive - Data Visualization et création de dashboards avec Power BI - Manipulation de grands volumes de données (Big Data) et architectures data Cette formation permet de maîtriser les méthodes et outils nécessaires pour transformer des données brutes en insights exploitables et en solutions basées sur l’IA.
- Engineering Degree in Logistics & TransportNational School of Technology2022Formation axée sur la compréhension des opérations de transport, de la gestion des flux logistiques et de l’optimisation des chaînes d’approvisionnement et de distribution. Elle m’a permis d’acquérir une vision opérationnelle des activités liées à la mobilité, à la planification et à la gestion de la performance. Compétences développées : - Analyse et optimisation des flux logistiques et de transport - Suivi des indicateurs de performance (KPI) et pilotage opérationnel - Gestion des opérations et coordination des acteurs du transport - Analyse de données liées à la performance et à la régularité des opérations Cette formation me permet aujourd’hui de combiner expertise métier transport/logistique et analyse de données, afin d’identifier des leviers d’amélioration et d’optimiser la performance opérationnelle.
Certifications
- SNOWFLAKE - The Complete MasterclassUdemy2026