Luis Carbonell Gironés's avatar

Luis Carbonell Gironés

Business Intelligence Engineer

About me

Hey👋 my name is Luis; I love working with data and learning about new techniques to store it 📖 , query it 🔍 and gather insights 💡 I am interested in building effective and reliable data pipelines, deep-diving into analyses, and asserting that data is sound and reproducible. For my tasks, I mainly work with Python 🐍 (although R is becoming a staple in the toolbox 🧰 ) using libraries such as Scikit, pandas, and Numpy, but I'm always excited to take a look at new tools and tech. When it comes to storing and querying data, I mainly have experience with relational databases like Postgres and MySQL, and data warehouses like BigQuery or Snowflake. In ETL pipelines, I've worked with Airbyte and DBT with a focus on designing incremental models⏳ Currently, I am also exploring tools like Dagster, dlt and SQLMesh for building a stack aimed towards incremental modeling with frequent updates, where timing is an important factor. I am always happy to connect with anyone and explore mutual opportunities. Looking forward to connecting!

Experience

BitBurst GmbH

Associate Business Intelligence Enginner

02.2025 - Present
  • Optimized models with a star schema, maintaining backward compatibility via views for seamless user experience.
  • Introduced CI/CD pipelines to ensure code quality, model testing and seamless deployment of changes.
  • Documented models and data sources including lineage and metadata propagation.
  • Designed a new ELT pipeline using Dagster, dltHub and SQLMesh
  1. Apache Kafka
  2. SQLMesh
  3. dagster
  4. dltHub
  5. Looker
  6. Snowflake
  7. Statistical Analysis
  8. Extract, Transform, Load (ETL)
  9. Sigma Computing
  10. Google BigQuery
  11. Google Cloud Platform (GCP)
  12. Cloud Storage
  13. Git
  14. Data Pipelines
  15. MetaBase
  16. Terraform
  17. Airbyte
  18. Dbt Icon Streamline Icon: https://streamlinehq.com dbt
  19. Python (Programming Language)
  20. Exploratory Data Analysis
  21. Pandas (Software)
  22. NumPy
  23. Scikit-Learn
  24. Data Visualization
  25. Data Science
  26. Data Analysis
  27. Tableau
  28. English
  29. Machine Learning
  30. Python
  31. SQL

BI Data Analytics

12.2023 - 02.2025
  • Developed robust ELT using Airbyte and DBT, significantly improving data quality.
  • Implemented version control for DBT models and ELT processes with Git, enhancing collaboration.
  • Analyzed internal metrics to identify fraud patterns, increasing detection accuracy with new statistical rules.
  • Created interactive dashboards with Metabase/Sigma, facilitating data-driven decision-making across teams.
  1. Apache Kafka
  2. SQLMesh
  3. dagster
  4. dltHub
  5. Looker
  6. Snowflake
  7. Statistical Analysis
  8. Extract, Transform, Load (ETL)
  9. Sigma Computing
  10. Google BigQuery
  11. Google Cloud Platform (GCP)
  12. Cloud Storage
  13. Git
  14. Data Pipelines
  15. MetaBase
  16. Terraform
  17. Airbyte
  18. Dbt Icon Streamline Icon: https://streamlinehq.com dbt
  19. Python (Programming Language)
  20. Exploratory Data Analysis
  21. Pandas (Software)
  22. NumPy
  23. Scikit-Learn
  24. Data Visualization
  25. Data Science
  26. Data Analysis
  27. Tableau
  28. English
  29. Machine Learning
  30. Python
  31. SQL

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