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camlebrun/README.md

πŸ‘‹ Hello, I'm Camille Lebrun

Data Consultant & Analytics Engineer | Available for new missions in Toulouse & Remote

Expert in the Modern Data Stack (dbt, BigQuery, Kestra, Python, SQL). I build scalable, end-to-end data solutions that deliver measurable business impact across retail, e-commerce, and media.


πŸ‘€ About Me

With a dual scientific and data background (Msc in Biochemistry and Master's in Data & AI), I have 3+ years of experience as an Analytics Engineer and Data Consultant. I specialize in Data Engineering and Analytics Engineering missions, working with clients remotely across France and internationally.

I leverage technical versatility with the Modern Data Stack and a passion for the profession to best understand my clients' needs and challenges. I excel at selecting the right data tools and architecture while remaining a hands-on contributor, translating complex business needs into robust, autonomous technical implementations.

Core Strengths & Tech Stack:

dbt BigQuery Kestra Airflow Python SQL Airbyte dlt Looker Studio Git Docker GCP


πŸš€ Featured Projects

πŸ’‘ Want to see more? Check out my full portfolio with detailed case studies: camillelebrun.fr/projects

Product Analytics with GA4

Description: GA4 data modeling across e-commerce and financial services using dbt and Dataform. Medallion architecture with specialized marts.
Impact: Saved +6h/week on reporting across 2 platforms.
Tech: GA4, dbt, BigQuery, Looker Studio

Berlioz β€” AI Nutrition Assistant (Pet Project)

Description: RAG chatbot helping cat owners evaluate pet food for renal and urinary conditions using OCR label reading and semantic search over a veterinary knowledge base.
Impact: Fully functional tool with near-zero infrastructure cost (~$0/month) and <1.1s response time.
Tech: RAG, OpenAI, Upstash Vector, Node.js
Link: berlioz-chat.vercel.app

Slack Monitoring System

Description: Comprehensive Slack monitoring for dbt pipelines and business KPIs. Automated alerts and scheduled reporting.
Impact: Real-time incident detection and KPI delivery across 3 industries.
Tech: Slack API, Kestra, BigQuery, Python


πŸ“š Education & Certifications

  • Master's in Data/IA @ HETIC (2022-2024)
  • Funnel Partner Certification (Level 1) - Apr 2025

πŸ”— Connect


⭐ Open to collaborations and opportunities in data engineering & analytics

Popular repositories Loading

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    Config files for my GitHub profile.

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  6. Naive-Bayes-Spam-Email-Classifier Naive-Bayes-Spam-Email-Classifier Public

    Forked from ivedants/Naive-Bayes-Spam-Email-Classifier

    An implementation of an email spam filter using Naive Bayes method. Observed accuracy: 96.98%

    Jupyter Notebook