About Grégoire
- Web scraping (récupération de données, prix, catalogues, annonces, données publiques)
- Scripts Python sur mesure
- Automatisation de fichiers Excel / Google Sheets
- Création/Exploitation d’API
- Livraison de données en CSV / Excel / Google Sheets
French
Native or bilingual
English
Fluent
Spanish
Conversational
Experience
- CdiscountDataOpsNovember 2024 - Today (1 year and 8 months)Bordeaux, France○ Main activities:
- Implementation of a company wide Liquibase repositories cleanup solution, reducing CI build times by 10.
- Migration of Azure DevOps pipelines from heterogeneous, non-centralized VNext definitions to a mutualized CI-as-Code setup.
- Implementation of automated tests in Docker images for DBT, DLT, and Liquibase owned by the team, adapting the testing strategy to the specific technical constraints of each tool.
- Implementation of a Talend to DLT migration solution, automating jobs configuration and releases initialization.
- Implementation of a Liquibase CI check blocking pull requests when foreign keys are missing, in order to prevent data modeling technical debt.
○ Technologies:> Infrastructure: On-premise, Kubernetes, Docker, Terraform> Back-end: Python, Bash, DBT, DLT, Kafka> Storage: Snowflake, SQL Server> Integration: Azure Devops, Azure Pipelines, Liquibase, Pytest, Harbor> Tools: Jira, Confluence> IDE: VSCode, WSL - Betclic GroupDataOpsOctober 2022 - May 2024 (1 year and 7 months)Bordeaux, France○ Main activities:
- Technical support for data science and data analyst teams.
- Implementation of live streaming use cases (Flink, Scala).
- Backend redesign of the data platform internal webapp (Python, JS, Snowflake, API's, serverless).
- Implementation of the data lake's GDPR data anonymization solution (Airflow DAG's, scripting, snowflake, yaml parsing).
- RUN: Snowflake access management (internal framework, terraform, datamesh).
- Lake ingestion maintenance (internal framework, cloud migration, snowpipes).
- Data infrastructure monitoring.
○ Technologies:> Infrastructure: AWS (Kinesis, EC2, ELB), Terraform, Docker> Back-end: Python, Groovy, Scala, Airflow, Datadog, DBT, AWS λ> Storage: Snowflake, DynamoDB, Aurora, SQL Server> Integration: Github, Jenkins, Artifactory> Tools: Jira, Confluence> IDE: VSCode, WSL - AJC Formation & YnovTeacherMay 2022 - October 2022 (5 months)Courses delivered:
- Software testing (pytest, Cypress)
- CI/CD pipelines & DevOps fundamentals (GitHub Actions)
- Containerization with Docker
- Python and SQL fundamentals
- Introduction to cloud components (AWS & Azure)
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Education
- Méthodes agiles de gestion et amorçage de projet Développeur en intelligence artificielleMéthodes agiles de gestion et amorçage de projet Développeur en intelligence artificielle
- Intelligence artificielle2018Intelligence artificielle