Freelancer profile translated to English.

Description

Computer science analyst engineer, initially a university doctor in physics. Bilingual and multicultural, demonstrating adaptability and autonomy. My recent experiences have opened me up to several engineering fields and tested my curiosity and analytical skills. Passionate about technologies and data manipulation (BIG DATA).

Specialist:

- Data engineering with Scala

- Data Analysis with Python

- BigData with Spark

- Cloud computing (Azure), Docker, CI/CD,

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km), Paris (up to 50km), Vélizy-Villacoublay (up to 30km), Massy (up to 40km)

Colas
Expert Data Engineering
CIVIL ENGINEERING
May 2019 - Today (7 years and 1 month)
Paris, France
- Responsible for designing ETL pipelines in the AZURE cloud
- Development of multi-channel data transformation algorithms on Databricks in Scala and Python
- Orchestration of different pipelines via AIRFLOW
- Responsible for the production deployment of projects on an international scale (affecting several hundred subsidiaries)

Technical Environment: Azure, Linux, Os X, Databricks, Intellij, Spark, Scala, Python, Airflow, SBT, Maven, Azure Devops, Azure SQL, Azure Blob Storage, Docker, Bash,
Microsoft Azure Spark Scala Python Linux airflow databricks
EDF
Data Engineer
ENERGY AND UTILITIES
September 2017 - April 2019 (1 year and 8 months)
Evolution of EDF's BIG DATA platform:
- Responsible for developing enablers in the hadoop environment (HIVE, HBASE, SQOOP ...)
- Development of data processing algorithms (SPARK, SHELL Scripts): data from EDF's various professional data factories to aggregate them and determine relevant commercial offers
- POC to evolve the BigData development platform in line with growing needs
- Volume of over 100 million entries

Technical Environment: Hadoop (Hortonworks, On Premise), Spark, Spark Streaming, Kafka, Hbase, Hive, Sqoop, Elasticsearch, Linux, Windows Os, Java, Scala, Rest Api, Gitlab, Intellij, Gradle, Bash, Cerberos
Hadoop Spark Apache Kafka Hive sqoop git Scala
AID Add Intelligence to Data
JAVA / BIG DATA Developer Engineer
DIGITAL AND IT
March 2017 - September 2017 (6 months)
Paris, France
- Responsible for developing certain features of Datakili (Java, Scala, Big Data, Cassandra, Storm, ...)
- Participation in the development factory (automatic tests, code review, version management, ...) to ensure the quality of processes and developments.
- Participation in the development of POCs for customer journey algorithms (possibility of grouping logs, in-store data, and SAV and social network data to define paths leading to a purchase in order to optimize recommendations and determine where to invest)
- Participation in the development of levers for decision-making in collaboration with the data scientist
- Volume of several gigabytes in batch and support for streaming processing

Technical Environment: Hadoop (Hortonworks, On Premise), Spark, Spark Streaming, Kafka, Storm, Cassandra, Elasticsearch, Linux, Java, Scala, Rest Api, Github, Intellij, Maven, Git, Jenkins, Bash, Angular Js
Hadoop Spark Apache Kafka Storm Cassandra Java Scala AngularJS Maven