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d-gilles/README.md

Hi 👋, I'm David

I am an experienced professional who transitioned into the world of data after many years in generative design. Currently, I work as a Data Engineer at Planet Wild, where I apply my knowledge to optimize and automate our data infrastructure. This includes managing our PostgreSQL-based Data Warehouse on AWS RDS and integrating various external data sources.

In collaboration with stakeholders we define KPIs and develop data models that provide consistent and accurate data for the company. A key part of my role involves setting up internal transformation layers within the DWH using SQL models to ensure the data is well-prepared for analysis and reporting. I also build custom automations with AWS Lambda to eliminate manual processes and ensure data quality through integrated checks. Additionally, I manage dashboards in MetaBase, helping different business areas leverage data-driven insights. BTW check out 👉🏼 Planet Wild and join us on our mission!

What was before?

⚙️ My fascination with automation has led me to automate CAD systems (since 2008) primarily using tools like Grasshopper and Python. The algorithms I developed have seen application in generative design, mass custom production, and automation of digital workflows in CNC/CAM processes.

📐 My background in creating 3D CAD drawings for furniture making and interior design has sharpened my eye for detail. I can go into great detail, but I also know how much is enough to get a result that delights my clients.

What is next?

🚀 Now I am diving deeper into the areas of data engineering and cloud infrastructure and want to explore the opportunities these areas offer. For my current tasks, I am learning more about data warehousing, data modling and the AWS ecosystem.

🤝 I'm looking forward to connecting with other professionals in the field, so please feel free to reach out if you have any advice, suggestions, or opportunities that might be a good fit.

Connect with me:

gilles-david

Languages and Tools:

Data & Code

Languages and Tools:

Linux Logo Python Logo Pandas Logo Scikit-Learn Logo PostgreSQL Logo Airflow Logo AWS Logo GCP Logo GIT Logo Docker Logo Terraform Logo dbt Logo Metabase Logo Fivetran Logo Streamlit Logo

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  1. Airflow-Pipeline Airflow-Pipeline Public

    Airflow pipeline in some docker containers

    Python 1

  2. Tiniworld_ML_Timeseries Tiniworld_ML_Timeseries Public

    Final project of a data science Bootcamp that I completed in December 2022.

    Python 1

  3. CaminoStats CaminoStats Public

    Camino de Santiago Data Collection, Analysis, and Visualization

    Jupyter Notebook

  4. European-Energy-Data European-Energy-Data Public

    HCL