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Description

🏡 Data Engineer based in Paris

My expertise lies in setting up modern data platforms, whether on the Cloud or On-premise.

💡 Here's an overview of the areas I master:

▪ Database configuration and setup

▪ ETL / ELT pipeline design

▪ DevOps environment setup and configuration

▪ Database and SQL query optimization

▪ Benchmarking and data stack setup

▪ Connection to your reporting tools and other BI solutions

💡 Here are some of the technologies I have worked with:

▪ Cloud: AWS, GCP, Azure

▪ Data: BigQuery, Snowflake, ClickHouse, Athena, PostgreSQL, MongoDB

▪ Orchestration: Airflow, DBT, Dagster, Prefect, Airbyte

▪ DevOps: Docker, Terraform, CI/CD

▪ Teamwork: Slack, Notion, Jira, Slab, Figma

👉 I am autonomous while being used to working in a team (agile method, pair programming, scrum)

👉 I also provide training to teams on the use of implemented solutions, by implementing the best tools to allow you to keep control of your infrastructure

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

ACCOR
Data Engineer
HOSPITALITY
May 2023 - Today (3 years and 1 month)
Paris, France
Automation of business data retrieval to Snowfake to feed
Streamlit reporting applications.
• Retrieving data from various APIs and ingesting into Snowfake.
• Automating transformations on Snowfake with Pipe, Stream, Task, and
Procedures.
• Terraforming the Snowfake architecture.
• Migrating PowerBI reports to Streamlit applications.
Creating a Python Streamlit module based on ECharts to accelerate
development.
• Deploying Streamlit applications on Snowpark Container Services.
• Retrieving Snowfake logs and creating alerts on Splunk.
• Raising awareness among business teams about data and SQL.
Terraform Snowflake SQL Python DBT Splunk Streamlit
Artcurial
Data Engineer
CULTURE
December 2022 - May 2023 (5 months)
Paris, France
Artcurial is an international auction house.

- Extracting data from PostgreSQL to BigQuery (CDC)
- Extracting data from Firebase to BigQuery (CDC)
- Setting up a DBT project for data transformation
- Creating Looker dashboards for data visualization
- Creating a data catalog
- Training the tech team on the data stack
DBT Big Query Looker GCP PostgreSQL Firebase Data-catalog ETL
Citron
Data Engineer
ENERGY AND UTILITIES
September 2022 - December 2022 (3 months)
Paris, France
Citron is a company that processes real-time IoT data.

- Extracting MongoDB collections to S3 with triggers
- Data partitioning
- SQL transformation in AWS Athena (Raw, Datawarehouse, Datamart)
- Automating transformations via Airflow
- Creating data visualization dashboards on Cumul.io
- Optimizing SQL queries
SQL Airflow Datawarehouse Athena MongoDB Real-time Cumul.io Datamart AWS S3