Freelancer profile translated to English.

Description

Experienced Cloud Data Engineer with advanced expertise in designing and maintaining complex data pipelines, and proficiency in AWS, SQL, Python, and Apache Spark.

Through my experiences at LineUP7, Jellysmack, and Disneyland Paris, I have collaborated as a Data Engineer on data platform migrations, optimized self-service data architectures, and ensured the quality and integrity of production data. My background also includes infrastructure management with IaC using Terraform, setting up ETL and ELT workflows, and supporting teams in DataOps and CI/CD best practices.

Rigorous and adaptable, I place great importance on continuous learning and skill sharing to effectively contribute to the digital transformation of companies.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Lyon (up to 50km), Paris (up to 10km), Genève (up to 10km), Annecy (up to 10km)

Tyredating (Groupe Michelin)
Senior Data Engineer
AUTOMOBILE
March 2025 - Today (1 year and 3 months)
Lyon, France
- Migration from Quartz and Talend to Airflow
- Creation of DAGs, operators, DAG factories etc. in Airflow
- IaC with Terraform
- CI/CD with Gerrit and Jenkins
Airflow Apache Airflow Python SQL Amazon Web Services AWS
DISNEYLAND PARIS
Senior Data Engineer
March 2023 - Today (3 years and 3 months)
- Design and deployment of a price change notification solution on AWS (VPC, API Gateway, Lambda, S3, Secrets Manager, Glue) to provide finance teams with accurate pricing data in Snowflake, improving revenue analysis and financial forecasting.
- Contribution to the migration of the data platform to a modern ELT architecture with Airflow, dbt, Snowflake, CodeBuild, GitHub, and Terraform for CI/CD, enhancing data accessibility and reliability for reporting and analysis.
- Migration of data validation processes from Soda and Grafana to dbt with Slack/email alerts and Elementary, integrating data quality checks and lineage, strengthening data trust.
- Collaboration with Product Owners to translate business needs into technical specifications in an agile environment, ensuring data solutions align with objectives and deadlines.
- Conducting code reviews in SQL, Python, and PySpark, supporting data engineering best practices.
Jellysmack
Data Engineer
September 2021 - March 2023 (1 year and 6 months)
- Migration of Airflow DAGs from EC2 to MWAA and implementation of Kinesis for data streaming, enabling near real-time analytics and contributing to a 15% improvement in content creator reach and a 20% increase in viewer engagement.
- Collaboration in building a self-service Data Mesh infrastructure with Lake Formation, Kinesis, Lambda, S3, Glue, Redshift, and Athena, enabling decentralized data access for teams.
- Development of PySpark jobs in Glue to ensure data quality with Great Expectations, improve data cataloging, and create Athena workgroups to optimize query performance and manage data access.
- Development of a pipeline for Google Sheets integration using Google APIs, Python, Airflow, S3, Lambda, Kinesis Data Firehose, and SQL, reducing manual data manipulation by 50% and saving 10 operational hours per week.
- Creation of custom Airflow operators and utilities in the internal Python library, reducing development time on projects.