{ "_version": "14c389d6c751f32255dc03f0b912582ff71f30176572198aa93dcac89ad8c68c", "basics": { "name": "Luis Carbonell Gironés", "label": "Data Engineer", "image": "", "summary": "I'm a Data Platform Engineer who builds and runs the infrastructure that data and ML teams ship on: orchestration with Airflow and Dagster, batch and CDC streaming ingestion with Kafka and Debezium, lakehouse storage on Apache Iceberg and Trino, and the CI/CD, Kubernetes and governance tooling around them, on AWS and GCP.Highlights:• Cut pipeline execution costs by 38% by re-platforming an Airbyte/dbt Cloud stack onto Dagster, dltHub and SQLMesh.• Removed dbt Cloud licence costs by moving to self-hosted dbt Core on Astronomer Airflow with Astronomer Cosmos, with a tag-based scheduler that resolves model dependencies automatically.• Built a production CDC pipeline from scratch with Debezium and Kafka, moving ingestion from batch to near real-time into BigQuery.• Own the CI/CD platform for the Data and ML teams across 20+ repositories: reusable GitHub Actions, security scanning, Renovate, ephemeral Airflow environments per pull request, and self-hosted runners on EKS.• Designed deployment pipelines that never collide with scheduled production runs.• Built GDPR compliance into ingestion with automated PII detection (Presidio).Stack: Airflow (MWAA, Astronomer), Dagster, dltHub, Kafka, Debezium, dbt, SQLMesh, Apache Iceberg, Trino/Starburst, Snowflake, BigQuery, Docker, Kubernetes (EKS), GitHub Actions, Python, SQL on AWS and GCP.Open to Data Engineer and Data Platform Engineer roles.", "location": { "city": "Munich", "countryCode": "DE", "region": "Bavaria" }, "profiles": [ { "network": "LinkedIn", "username": "lucargir", "url": "https://www.linkedin.com/in/lucargir" }, { "network": "GitHub", "username": "lucargir", "url": "https://github.com/lucargir" } ] }, "work": [ { "name": "Prodege", "position": "Data Engineer", "startDate": "Nov 2026", "endDate": "", "summary": [] }, { "name": "Prodege", "position": "Business Intelligence Engineer", "startDate": "Apr 2026", "endDate": "Nov 2026", "summary": [ "Led the migration from dbt Cloud to self-hosted dbt Core on Astronomer Airflow with Astronomer Cosmos, eliminating dbt Cloud licence costs, and designed a tag-based scheduling system that resolves model dependencies automatically.", "Designed deployment pipelines that wait for in-progress runs and exclude the models being deployed from later runs until the deployment finishes, so releases never collide with scheduled production runs.", "Own the CI/CD platform for the Data and ML teams: built the shared standards tooling and reusable GitHub Actions workflows used across 20+ repositories, with security and quality scanning (Semgrep, Bandit, Trivy, TruffleHog, Hadolint, Kubeconform, Kubescape, Kubesec) and Renovate dependency automation.", "Deployed self-hosted GitHub Actions runners on EKS with the Actions Runner Controller (ARC), building a custom ECR base image with pre-installed dependencies that cut CI startup time.", "Implemented CI/CD workflows that provision an ephemeral Astronomer Airflow deployment per pull request, reducing infrastructure costs and improving developer experience.", "Built reusable ingestion tooling that onboards source tables as dbt models and runs Presidio PII detection, enforcing GDPR data classification at the ingestion layer.", "Designed a greenfield dbt Core project on Trino, enforcing layering, naming, data quality, and materialisation standards through CI checks and pre-commit hooks.", "Run the pipelines behind finance reporting, Account Manager revenue dashboards, ML features, and Braze marketing data, and review the team's pull requests daily." ] }, { "name": "Prodege, LLC", "position": "Associate Business Intelligence Engineer", "startDate": "Nov 2025", "endDate": "Apr 2026", "summary": [ "Owned the CI/CD pipelines deploying Airflow DAGs to Amazon MWAA via S3, with dependency management and shared coding standards for reliable production orchestration.", "Contributed to the platform migration from Snowflake toward an Apache Iceberg lakehouse with Starburst Galaxy/Trino as the compute layer, applying cost-aware modelling and query optimisation.", "Migrated legacy SQL pipelines to dbt using incremental processing and source partitioning, reducing pipeline execution costs.", "Removed duplicate datasets in the feature layer by converting them to views, reducing storage costs and improving maintainability." ] }, { "name": "BitBurst GmbH", "position": "Associate Business Intelligence Engineer", "startDate": "Feb 2025", "endDate": "Nov 2025", "summary": [ "Led the end-to-end re-platforming of the ELT stack from Airbyte/dbt Cloud to Dagster, dltHub, and SQLMesh, reducing pipeline execution costs by 38%.", "Built a production CDC pipeline from scratch with Debezium and Kafka, capturing changes from PlanetScale (Vitess) and delivering them to BigQuery through a custom dltHub integration, moving ingestion from batch to near real-time.", "Introduced SQLMesh audits plus dbt contracts and tests that catch schema and type mismatches at build time, stopping corrupted data from propagating downstream.", "Redesigned core data models as a star schema, eliminating duplicate datasets and reducing storage costs by ~13%, while keeping downstream consumers working through view abstraction.", "Established CI/CD pipelines with code quality checks, automated testing, and deployment across the data platform, and documented sources and models with full lineage and metadata." ] }, { "name": "BitBurst GmbH", "position": "BI Data Analytics", "startDate": "Dec 2023", "endDate": "Feb 2025", "summary": [ "Designed and built ELT pipelines with Airbyte and dbt, adding automated data quality checks to improve pipeline reliability.", "Introduced Git-based version control and code review for dbt models and ELT pipelines on GitHub.", "Turned statistical analysis of internal metrics into new fraud-detection rules, and built Metabase and Sigma dashboards for business teams." ] }, { "name": "Allianz Kunde und Markt GmbH", "position": "Working Student", "startDate": "Aug 2023", "endDate": "Dec 2023", "summary": [ "Supported the team in gathering customer-satisfaction insights and developing internal dashboards for visualisation.", "Conducted data preprocessing, knowledge mining, and statistical analyses, communicating insights to stakeholders." ] } ], "volunteer": [ { "organization": "Nukoko Ghana ONG", "position": "IT Volunteer", "startDate": "Mar 2020", "endDate": "", "summary": [ "I help the NGO manage their IT infrastructure and find solutions that help achieve their goals more efficiently using technical tools by automating internal processes." ], "cause": "economicEmpowerment" }, { "organization": "Fundació Mira'm", "position": "Volunteer", "startDate": "Jan 2019", "endDate": "Dec 2019", "summary": [ "Volunteering program where I was trained to recognise ASD-specific needs and I participated as an activity tutor." ], "cause": "socialServices" }, { "organization": "INCIBE - Instituto Nacional de Ciberseguridad", "position": "Volunteer", "startDate": "Sep 2018", "endDate": "Jul 2021", "summary": [ "Participation in the is4K program consisted in giving talks at schools about IT-related subjects like privacy on the internet, netiquette, digital identity and reputation, virus and scams..." ], "cause": "education" }, { "organization": "Asociacion Jubilados Y Pensionistas Serpis U.d.p. Alcoy", "position": "Volunteer", "startDate": "Feb 2017", "endDate": "Jul 2017", "summary": [ "Volunteering program aimed at actively teaching basic computer skills to elderly people, introducing them to the digital world, and providing useful tools to achieve their goals through targeted content and materials." ], "cause": "education" } ], "education": [ { "institution": "Technical University of Munich", "area": "Master's degree in Data Engineering and Analytics", "startDate": "Oct 2021", "endDate": "Nov 2024" }, { "institution": "Universitat Politècnica de València (UPV)", "area": "Bachelor's Degree in Informatics Engineering", "startDate": "Sep 2016", "endDate": "Sep 2020" } ], "languages": [ { "language": "English", "fluency": "Native or bilingual proficiency" }, { "language": "Spanish", "fluency": "Native or bilingual proficiency" }, { "language": "Catalan", "fluency": "Native or bilingual proficiency" }, { "language": "German", "fluency": "Limited working proficiency" } ], "skills": [ { "name": "Data Science", "keywords": [ "Data Build Tool", "DataOps", "Continuous Integration and Continuous Delivery", "GitHub Actions", "Amazon EKS", "Amazon Web Services", "Change Data Capture", "Debezium", "Apache Iceberg", "Data Platform Engineering", "Airflow", "Data Engineering", "Data Architecture", "Cloud Infrastructure", "PostgreSQL", "Trino", "Kubernetes", "Docker Swarm", "Apache Kafka", "SQLMesh", "dagster", "dltHub", "Snowflake", "Extract, Transform, Load", "Google BigQuery", "Google Cloud Platform", "Cloud Storage", "Git", "Data Pipelines", "MetaBase", "Terraform", "Airbyte", "dbt", "Python", "Pandas", "NumPy", "Scikit-Learn", "Data Science", "Data Analysis", "Machine Learning", "SQL" ] } ], "projects": [ { "name": "", "startDate": "Apr 2022", "endDate": "Jul 2022", "description": "Coordinating on code and weekly documentation of our work, analysing the dataset, understanding what features were relevant to the analysis focus, finding new metrics that helped us evaluate the data, and presenting the results during the weekly sessions." }, { "name": "", "startDate": "Apr 2020", "endDate": "Sep 2020", "description": "• Bachelor's project, grade: 10/10 with Honors. • Retrieved an average of 80K tweets/day during the COVID-19 crisis and analysed the overall sentiments and topics during the crisis. • Over 500K tweets in the US and UK; 4.3M in Spain. • Connected offline data of infected people, deaths, hospitalisations, tests and PCRs in Spain to analyse the impact of real-world situations and their virtual effects on 35 topics of public interest." } ] }