Taha Le Bras

📚 Enabling self-service analytics to 1k+ employees, using Omni and DataHub for a state of the art governed architecture. 👥 Leading the Analytics Engineering, designing short to long term strategies for Analytics at Brevo. 💻 Upping our dbt game by setting coding standards, making our code cleaner and more consistent. 🚀 Launched and led the customer-facing analytics product by embedding Looker then Omni into our UI. 🛠️ Setting up our observability tools with Monte Carlo Data and dbt Elementary.

👀 lissen.live

🌐 Implemented the data mesh vision with a 90-person data team, having hands on the entire data product lifecycle: ingestion, transformation, quality checks, governance, and exploration. 🛠️ Set up dbt from scratch to replace old-school incremental Python ingestion pipelines. 📊 Enabled self-service for 500+ users with Looker. 🎓 Created a Looker Academy to train users on exploring and conducting analysis. ☕ Managed the internal Looker community by organizing coffee chats, sending data newsletters, and posting on Slack.

• Successfully migrated Talend ETL jobs to Python pipelines, resulting in increased scalability and maintainability of the data integration process • Led and managed a team of 3 junior profiles, providing guidance and support to ensure project success • Improved existing data transformation process by 70% by optimizing SQL queries and data models • Actively monitored and maintained data pipeline performance, identifying and resolving issues to minimize downtime and ensure data availability

• Harmonized data analysis processes across 5 subsidiaries, improving data consistency and accuracy • Delivered customized dashboards and verbal presentations of key performance indicators to senior management, enabling informed decision making • Optimized SQL queries by 75%, resulting in significantly faster dashboard refresh times and improved efficiency

Took a 2-year trip around the world while working as a data scientist for Springbox AI. Translated ideas for automated trading algorithms into R scripts and tested their performance against years of financial market data.