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Description

Data Engineer | Data analyst | Data scientist - Expert GCP

Data enthusiast, I transform raw data masses into winning strategies.

I enjoy designing, developing, and deploying pipelines for ingestion, web scraping, and data stream propagation.

⚒️ Technical Stack:

CLOUD: Google Cloud Platform, Big Query, Google Cloud Storage, Kubernetes, Pub/Sub,

Cloud Build, Cloud Run, Cloud Composer.

BIG DATA/BI: Pyspark, Airflow, Talend, Pentaho, Dataiku, SalesForce API, DBT, NoSQL, Parquet, Oracle, Sqlite, PostgreSQL, Sql Server (SSIS, SSAS,SSRS), Talend, Pentaho, QGIS3,.

LANGUAGES/SCRIPTING: Java, Python, C, SQL, JavaScript, R.

DEVOPS: Jenkins, Docker, Kubernetes.

AGILE VERSIONING: Git, Jira.

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Veolia
Data engineer - Data Analyst
ENERGY AND UTILITIES
July 2023 - Today (3 years and 1 month)
Paris, France
Implementation of a central Data Lake, Data Marts, and automation of data processing through scalable pipelines to ensure data quality and build indicators for monitoring business performance.
Analysis of business needs and drafting of functional and technical specification documents
Design and Development of Batch data pipelines to process raw data and Creation of KPIs through DBT models
Guarantee of data quality through DBT tests, as well as monitoring and setting up alerts on dataviz.
Management of access, roles, and security with IAM via Terraform, as well as supervision of flows using Cloud Monitoring and Logging.
Development and maintenance of reporting for various Use Cases (Recycling, Training Monitoring, HR, Finance, Technical monitoring for data quality)
Management of Run and maintenance of solutions in Production
Documentation writing
Terraform DBT API Microsoft Power BI Google cloud
Sephora
Data Engineer
LUXURY GOODS
January 2021 - June 2023 (2 years and 5 months)
Development of data pipelines in a GCP environment and
Construction of KPI performance monitoring dashboards.
• Analysis of functional and technical needs
• Design and development of APIs for data ingestion and integration
(Maxxing, Zalando, Salesforce)
• Development of Batch and Streaming data pipelines for
data transformation and ingestion
• Detection and resolution of data processing incidents
• Development and orchestration of pipelines with Composer
• Optimization of performance and costs with a FinOps approach
and monitoring of Solutions
• Resource management via Terraform
• Implementation of unit and functional tests
• Writing of technical specification documents and documentation
Google Cloud Platform (GCP) Terraform API Java Dataform
Rémy Cointreau
Data Engineer
WINE AND SPIRITS
December 2019 - January 2021 (1 year and 1 month)
Development of a Big Data platform in a GCP environment.
• Development of ELT workflows with Airflow/Cloud Composer.
• Implementation of data transformation models via dbt and data
quality validation (GDPR).
• Management of APIs (Salesforce, Bnic, Shopify, GA)
• Implementation of unit and functional tests
Google Cloud Platform (GCP) Airflow Terraform Big Query DBT