Freelancer profile translated to English.

Description

Hello!

I am a data engineer developer, used to working with Agile methods for 9 years. Beyond the code, I like to take an interest in my client's business and the context of the project. Thus, I can serve as a link between the business and the tech as well as take on the role of "tech lead".

I also like to do devops.

I have worked on various projects with Scala, Spark, Python, both on on-prem Hadoop clusters and in the Google Cloud Platform. I also have a little machine learning experience in Python.

My mantra: *It's simple to make complicated code, but it's complicated to make simple code*

I am looking for:

Data missions with Scala/Python, cloud
Nice and motivated colleagues because I am a good group emulator

I like:

Python, Scala, Spark, GCP, Machine Learning
Devops
Technical challenges
Very clean and very readable code
Well-tested code

The technologies I know:

Scala, Python
Spark, Kubernetes, Airflow, Kafka (basics)
GCP tools: BigQuery, BigTable, Composer, Cloud Storage, Dataproc, Pub Sub, Dataflow
Sbt, Git, Jenkins, GitlabCI, Ansible, Docker, Terraform
Linux

Languages

English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 15km)

Renault Digital
Scala / Spark / GCP - Big Data Developer Engineer
AUTOMOBILE
October 2018 - February 2022 (3 years and 5 months)
Paris, France
Development of a tool for tracking vehicle parts and costs with Scala, Spark and GCP.

Analysis and development of data pipelines
Participation in the definition of the architecture and technical solutions
Implementation of business use cases (volume approx. 20 To)
Migration of an on-prem Hortonworks cluster to GCP
Multiple storage solutions: HDFS, ElasticSearch, HBase, BigQuery, BigTable, PostgreSQL
Orchestration of DAGs with Airflow
Development of data exposure APIs
Practice of Test Driven Development (TDD)
DevOps and cloud infrastructure management expertise
Scala Python Google cloud Spark Kubernetes Big Data Terraform HBase Play framework Big Query Airflow
Trenzalore IT
Python Developer Engineer - Machine Learning
DIGITAL AND IT
January 2020 - April 2020 (4 months)
Paris, France
Development of a tool to predict tennis match results using machine learning.

Development of a crawler to collect lots of historical data on each tennis match and the players
Data cleaning and analysis
Development of prediction models
Experimentation with the use of deep learning
Python Machine learning Scikit-learn Terraform Airflow
agileDSS
Scala / Spark - Big Data Developer Engineer
DIGITAL AND IT
September 2017 - July 2018 (10 months)
Montréal, Canada
AgileDSS is an IT services company specializing in BI and data consulting.

I was a Scala / Spark / Big Data consultant there. I also gave two Spark Core training sessions at Microsoft.

For clients, my role consisted of:

Helping them define their Big Data architecture
Analysis and development of data pipelines
Transformation and distributed calculation of data models
Strict practice of Test Driven Development (TDD)
Training their employees on Scala, Spark, and the Big Data ecosystem

For the agency, my role consisted of:

Participating in the evolution of Big Data practice
Technology watch and experiments to define the reference Big Data technologies
Conducting technical recruitment interviews
Training employees in technologies and Big Data practice

I mainly worked with Microsoft Azure by client choice
Big Data Scala Spark Jenkins TDD Microsoft Azure