Freelancer profile translated to English.

Description

As a specialized data engineer and machine learning engineer, I have acquired significant experience in developing data processing pipelines in Spark Scala and implementing new backend features. I have also successfully integrated machine learning techniques to enhance data processing, demonstrating strong expertise in the field.

My practice of Terraform to deploy services and pipelines on cloud environments illustrates my mastery of infrastructure technologies. Furthermore, I have managed multi-cloud infrastructures including AWS, GCP, and Digital Ocean, with notable experience in migrating workflows between different platforms.

I contributed to the implementation of features for ElasticSearch clusters and implemented Natural Language Processing (NLP) models to improve information retrieval capabilities. In this context, I developed an API to integrate these NLP models, which I deployed on cloud platforms.

In addition to this, I have developed, deployed, and monitored APIs integrating machine learning algorithms, established automated CI/CD pipelines, managed various types of databases, and set up an MLFlow server for model versioning.

In summary, my key skills encompass data engineering, machine learning, NLP, backend development, database management, service deployment on cloud platforms, and CI/CD pipeline implementation.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Carrefour
Data Engineer
RETAIL (LARGE RETAILERS)
December 2023 - Today (2 years and 8 months)
Massy, France
Data Engineer in the client team of the group data platform (Phénix). I developed streaming and batch data processing jobs.
Apache Spark Apache Kafka Kafka Streams Google Cloud Big Query
Chronotruck
Machine Learning and Data Engineer
SOFTWARE PUBLISHING
January 2023 - July 2023 (6 months)
Paris, France
By going freelance at Chronotruck, I was able to continue my previous missions (see previous paragraph) but also:
-Move part of our infrastructure to GCP, using Big Query and Composer (GCP's managed Airflow service).
-Migrate our dags from our Airflow to Composer.
-Set up the different prod, preprod, and dev environments for Big Query and Composer.
-Establish multi-cloud connections between GCP and our Digital Ocean databases, with the replication of our data into Big Query and access to our databases via Composer.
Google Cloud Big Query Composer GCP Datastream Cloud
Chronotruck
Machine Learning and Data Engineer
SOFTWARE PUBLISHING
April 2022 - January 2023 (9 months)
Paris, France
Chronotruck is a real-time matching platform between freight shippers and professional carriers. I joined the data team as a Machine Learning Engineer and Data Engineer.

My responsibilities included:
-Developing, deploying, and monitoring APIs with the machine learning algorithms developed by Chronotruck.
-Managing Airflow and data pipelines, adding new data pipelines.
-Containerizing our Airflow, setting up an automated CI/CD pipeline with test execution, storing images in ghcr, and automatic deployment to our prod and preprod servers.
-Developing new algorithms for Chronotruck.
-Managing databases for the Data team. We use Postgresql hosted on Digital Ocean.
-Developing and deploying webhooks.
-Setting up an MLFlow server for versioning our models and artifacts, as well as for auditing.
-Implementing Great Expectations to validate our data.
Python Airflow PostgreSQL Docker MLflow