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Description

Data Engineer with 5 years of experience in designing, industrializing, and operating data pipelines. I work on complex data environments, with particular attention to reliability, run, and data quality, in order to meet concrete business needs. Used to migration and industrialization contexts, I aim to build sustainable, maintainable solutions aligned with usage.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 10km)

SNCF Connect & Tech
Data Engineer
TRANSPORTATION
December 2022 - December 2025 (3 years)
Saint-Denis, France
Migration of a legacy data architecture to a lakehouse architecture, while securing current uses and preparing for the future needs of business teams:
• Migration of legacy PostgreSQL tables to Iceberg tables via dbt, ensuring continuity of use
• Design of a standardized and reproducible migration process with Airflow
• Setup of a local Airflow to facilitate development and reduce time-to-delivery
• Management of the double run phase to secure business transition
• Administration and optimization of Iceberg tables (compaction, snapshots, orphan file management)
• Implementation of the project's CI/CD and infrastructure via GitLab and Terraform

Build and run of data pipelines within the BICRM team for business use cases:
• Management and execution of a data source migration project, in coordination with business stakeholders
• Development of data enrichment jobs (Glue, Airflow, KubernetesExecutor, APIs)
• Implementation of unit tests and best practices to ensure pipeline reliability over time

Deployment of pricing APIs to provide the best price for a given journey, with significant performance and availability challenges:
• Development of serverless APIs (Lambda, API Gateway)
• Setup of a DynamoDB database to meet latency constraints
• Execution of load tests to validate resilience and scalability

Tech stack: AWS, Spark, Airflow, dbt, Iceberg, PostgreSQL, Terraform, GitLab, Gatling
Languages: Python, Scala, JavaScript, SQL,
Amazon Web Services Airflow Gitlab CI/CD DBT Terraform
Boursorama
Data Engineer
BANKING AND INSURANCE
January 2020 - November 2022 (2 years and 10 months)
Boulogne-Billancourt, France
Contribution within the Data team to the design, industrialization, and operation of data solutions, serving the needs of data and business teams:
• Processing and leveraging data for data and business teams (Spark batch & streaming)
• Deployment and maintenance of data pipelines in a production environment
• Development of backend APIs for customer event analysis
• Industrialization of data science jobs (fuzzy matching, Machine Learning)
• Contribution to the deployment of Machine Learning models in production
• Technological watch around the Hadoop ecosystem

Tech stack: Spark (SQL, Streaming, MLlib), PySpark, Kafka, Cassandra, Hive, NiFi, Jenkins, Zeppelin, NestJS, ONNXMLTools
Languages: Scala, Python, JavaScript, SQL,
Spark Cassandra JavaScript Jenkins Apache Kafka
Ponticelli Frères
Digital Project Manager - Methods Engineer
ENERGY AND UTILITIES
December 2013 - August 2019 (5 years and 9 months)
Émerainville, France
Intervention on national maintenance contracts, with the objective of improving processes, tools, and operational efficiency of field teams:
• Management of a digital project for the implementation of Salesforce Field Service Lightning, including configuration, evolution, and budget monitoring of the project. Deployment and configuration of the solution on-site with operational teams
• Responsibility for a national maintenance contract, including on-site coordination of a team of 15 technicians (Annual revenue ~€2.5 million)
• Contribution to continuous improvement initiatives, with the implementation of Methods & Maintenance tools (5S, AIC, standardization, operational rituals),
Project Management Maintenance Continuous Improvement Team Leadership

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Engineer
Arts et Métiers
2013
Master of Science in Open Information Systems Engineering (SIO)
CentraleSupélec
2020
Cloud Computing (AWS), Python, Hadoop, Spark, Machine Learning, Optimisation de bases de données

Data Engineer

David T.

Data Engineer AWS | DataOps & Cloud Data Platforms

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