Description

Freelance Data Engineer avec 9 ans d'expérience

Spécialisée dans la conception et l'optimisation de solutions data, je maîtrise des outils tels que Google Cloud Platform (GCP), BigQuery, Cloud run, Cloud Build, dataflow, workflow, Firestore, Teradata, Terraform, DBT, Apache Airflow, docker, github, Power BI et Looker

Compétences clés

Analyse des besoins métiers et définition d'architectures data adaptées
Conception et maintenance de pipelines de données robustes en intégrant les pratiques DevOps
Modélisation et optimisation des bases de données pour un traitement efficace des données
Documentation technique et gestion de projets en méthodologie Agile
Création de rapports dynamiques et de dashboards avec Power BI et Looker Studio

Réalisation phare

Chez L'Oréal, en tant que GCP Data Engineer, j'ai :

Conçu des modèles de données performants pour les équipes produits
Développé et intégré de nouvelles données pour enrichir les analyses
Mis en place des API et pipelines BigQuery afin de garantir un accès fluide aux données
Modélisé des données complexes pour une restitution claire via Power BI et Looker Studio

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Espagnol
Notions

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

L'Oréal
GCP Data Engineer
LUXE
décembre 2021 - octobre 2024 (2 ans et 11 mois)
Paris, France
Designed efficient data storage and analysis patterns for large amounts of data in BigQuery
Implemented complex data acquisition and transformation workflows
Developed optimized data models to support product teams and enhance decision-making
Contributed to the development of new datasets to meet evolving business needs
Gathered and processed raw, structured, semi-structured, and unstructured data using both batch and real-time data processing frameworks
Built and maintained APIs for seamless data integration.
Worked with structured and unstructured data in various formats (JSON, AVRO, CSV, etc.).
Designed, developed, and launched new data pipelines to ensure reliable data flow
Modeled data for efficient Power BI and Looker reporting
Communicated technical solutions and design decisions clearly to both technical and non-technical stakeholders
Documented work thoroughly, including code comments and user manuals, utilizing tools like Confluence, GitHub, and Jira
Presented technical solutions in a simple and comprehensible way for business teams
Translated complex and ambiguous business requirements into clear user stories, covering functional, non-functional, security, and acceptance criteria
Applied excellent SQL skills for large-scale data transformations and analysis
Managed multiple priorities and conflicting requests effectively, ensuring timely delivery
Utilized Terraform for infrastructure management and automation
Created dashboards with Looker Studio to monitor and report on data quality
Built transformation models using DBT to aggregate data for individual respondents
Working closely with report owners and data product owners to unlock the full analytics potential of the data structure
Built data pipelines using existing integration processes, adhering to best practices such as CI/CD, code quality
Expertise in configuring and managing IAM roles and policies to ensure secure access control
airflow dbt BigQuery Terraform SQL Python looker studio workflow API dataflow REST APIs Python Flask Pandas Microsoft Power BI cloud build Gestion des identités et des accès (IAM) GitHub Dockerfile
Orange
Data Engineer
TÉLÉCOMMUNICATIONS
juin 2019 - novembre 2021 (2 ans et 5 mois)
Bd Périphérique, Paris, France
Contributed to the successful migration from Teradata to GCP, ensuring smooth transition and optimized performance
Designed and implemented the necessary infrastructure to extract, transform, and load large volumes of data from various sources
Created and optimized complex SQL queries for efficient data processing on BigQuery, improving query performance and reducing costs
Specialized in designing, building, and optimizing scalable data pipelines using GCP services such as Dataflow, Dataproc, and BigQuery
Ensured secure data processing by applying GCP security best practices, including IAM roles, encryption standards, and compliance with GDPR and other relevant data regulations
Managed and processed large datasets using GCP tools like BigQuery, Dataflow, and Pub/Sub to enable real-time and batch processing
Used Terraform to automate the deployment and management of data infrastructure on GCP, ensuring scalability and efficiency
Implemented continuous integration and deployment (CI/CD) pipelines for data engineering projects using Cloud Build, streamlining development workflows
Led data quality management efforts on GCP, ensuring data integrity, accuracy, and reliability across all data processes
Developed strategies for cost-efficient data processing and storage on GCP, optimizing resource usage and minimizing unnecessary expenditures
Led a team of data engineers, providing technical guidance, mentoring junior engineers, and promoting the adoption of data engineering best practices on GCP
Regularly communicated with business team, providing updates on project progress and aligning technical solutions with business goals
Worked closely with business teams to understand data requirements, translating them into technical solutions and ensuring alignment with business objectives
Expertise in configuring and managing IAM roles and policies to ensure secure access control and protect sensitive data across GCP resources
Teradata SQL Shell Python Google cloud Google Cloud Plateform Dataflow Jenkins GitHub Docker PubSub Big Query
Enedis
Data consultant
ENERGIE
juin 2016 - mai 2019 (2 ans et 11 mois)
Île-de-France, France
As a Teradata consultant
Integration of data flows using the enedis framework
Development of loading scripts via Teradata utilities : bteq, tpt
Date management (temporal data)
Impact analysis
Implementation of unit tests, performance tests and non regression tests
Provision of data to different users
Source code management : GitLab, Jenkins
Development of SQL scripts in order to check data integrity
Development of stored procedures in order to generate annual consumption reports for each electricity supplier
Analysis and correction of bugs detected by functional users
Taking into consideration the users’ feedback
Optimizing teradata queries
Using Jira and confluence
Creation of automated tests on fitness (dbfit)
Teradata AngularJS SQL Python Bash Shell Scrum Power Shell Cucumber

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Master's degree, Management de projets et programmes
SKEMA Business School
2016
Master's degree, Management de projets et programmes
Ingénieur en Informatique, Business Intelligence
Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
2014
Ingénieur en Informatique, Business Intelligence