Flavien Bouché

Data Engineer then Lead Data Engineer for over three years, I participated in the from-scratch construction of an open-source data platform to replace a legacy system based on Talend and SQL Server.

My main responsibilities covered architecture, setting up data pipelines, modeling in Bronze, Silver, Gold medallion architecture, as well as industrializing CI/CD, monitoring, and documentation practices.

Promoted to Lead Data Engineer, I supervised a team of 5 to 8 people and managed the migration of approximately 250 Talend ETL flows to Apache Airflow, without service interruption. I also contributed to the integration of three logistics providers with multiple data formats, as well as the realization of an internal AI POC with Dust.

Technical Stack: Python, Apache Airflow, dbt Core, PostgreSQL, Power BI, MinIO, Grafana, Prometheus, Azure DevOps, RabbitMQ.

Key Skills: Data Engineering, data architecture, ETL migration, orchestration, CI/CD, monitoring, team management, technical documentation.

Design and development of Power BI dashboards for advertising campaign management for operational teams, sales, and management.

I also developed a Python bot for automatic optimization of advertising campaigns, running 24/7. This tool automatically processed several tens of thousands of euros in revenue each day.

Technical Stack: Power BI, Python, Selenium, BigQuery, Snowflake, Talend.

Key Skills: Business Intelligence, automation, reporting, campaign optimization, data visualization.

As part of the European IoF 2020 project, I exploited meteorological data from autonomous sensors to improve decision-making for winegrowers.

The mission focused on two main areas: data cleaning, verification, and visualization, followed by the creation of predictive algorithms in Python.

Technical Stack: Python.

Key Skills: Data analysis, data cleaning, visualization, prediction, meteorological data.