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Description

Welcome to my Malt profile 👋

I regularly work on projects as a Lead Data Engineer or Data Engineer.

The technologies I work with most often are:

Cloud: AWS

Languages: Python, Java, Scala

CI/CD: GitlabCI, Github Actions

Infrastructure as code: Terraform

Deployment: Kubernetes

Datawarehouse / Lakehouse: Snowflake, Apache Iceberg

Databases: PostgreSQL, DynamoDB

Ingestion tools: Airbyte, Fivetran

Data transformation: dbt, Spark

Orchestrators: Airflow, Dagster

Visualization: PowerBI, Quicksight

I am ready to adapt to the tools you need, and to be proactive. I often keep up with technological advancements and am aware of the latest market innovations.

📩 Feel free to contact me to discuss your projects.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual
Spanish
Fluent

Workplace preferences

Can work on-site

Paris 11e Arrondissement (up to 10km)

LCL
Lead Data Engineer
BANKING AND INSURANCE
April 2025 - Today (1 year and 4 months)
Paris, France
Design and implementation of the data architecture
Management of a tech team of 4 people
Definition and monitoring of the tech roadmap
Contact with business stakeholders and prioritization of different needs
Amazon Web Services Python Data Engineer DBT Snowflake
Rekor Systems
Lead Data Engineer
TELECOMMUNICATIONS
January 2023 - March 2025 (2 years and 1 month)
Paris, France
- Designed and implemented a real-time data pipeline from scratch, managing the ingestion, transformation, storage, and delivery of 2 million events per day to internal applications, using AWS API Gateway, Kinesis Streams, Apache Flink, Apache Iceberg, AWS Lambda, and AWS EventBridge.
- Set up multiple CI/CD pipelines with GitHub Actions.
Implemented automated functional and load tests for the entire infrastructure.
- Automated ETL processes between different business units, reducing manual workload by 55% per month. Business units manually uploaded CSV files to AWS S3, whose rows were automatically parsed, transformed, and loaded into the corresponding Quicksight dashboards.
- Developed a search API microservice allowing the development team to query data in OpenSearch, using Kotlin and Spring Boot, and deployed on a Kubernetes cluster.
- Recruited and managed 2 Junior Data Engineers and 1 Data Architect.
Amazon Web Services (AWS) Terraform Python Apache Flink Opensearch
Skello
Data Engineer
SOFTWARE PUBLISHING
September 2022 - January 2023 (5 months)
Paris, France
- Performed a data architecture audit to evaluate and propose optimizations for the existing infrastructure.
- Implemented unit tests on Airflow.
- Integrated all existing Snowflake components (databases, tables, users, etc.) into Terraform and automated the process.
Snowflake Terraform Python AWS Airflow