10/20/2026 updated
100 % available
Data Platform Engineer | Snowflake, dbt, Airflow, Kafka, Kubernetes
Granada, Spain
Only remote
Bachelor's Degree, MathematicsAbout me
I am a Data Platform Engineer with over 4 years of experience. My expertise spans both Modern Data Stack technologies (Snowflake, dbt) and distributed systems (Trino, Apache Airflow, Apache Kafka, Kubernetes). Comfortable with SQL and Python. I have prior experience working with German companies.
Apache IcebergdbtDelta LakeSql Data WarehouseApache AirflowData ArchitectureData TransformationData Transformation ServicesData WarehousingDistributed SystemsPython (Programming Language)DataOpsDatabase EnginesSnowflakePySpark
SQL & Python Development
Proficiency in SQL and Python for designing, building, and optimizing scalable data pipelines and architectures.
ETL/ELT Pipeline Engineering
Design and automation of ETL/ELT processes involving diverse data sources such as REST APIs, SaaS, logs, etc.
Cloud Data Platform Architecture
Hands-on experience designing, building, and maintaining cloud data platforms across multiple architectural paradigms, including cloud data warehousing (Snowflake, with dbt for data transformation) and lakehouse architectures (Apache Iceberg, Delta Lake, Trino, Kafka, and Kubernetes).
Snowflake Data Cloud
Deep expertise in Snowflake, including the SnowPro Advanced: Data Engineer certification.
dbt (Data Build Tool)
Application of dbt for data transformation and modeling best practices, including 3NF, Star, and Snowflake schemas, resulting in significant improvements in query performance and platform scalability.
Apache Airflow
Orchestration of batch and real-time data pipelines using Airflow, enabling streamlined automation and reliable scheduling of complex data workflows.
Kafka & Real-Time Streaming
Implementation of real-time data pipelines using Kafka Connect, following best practices for data consistency and reliable event-driven architectures (schema evolution, exactly-once processing semantics, idempotent processing, Transactional Outbox Pattern, etc).
Docker & Kubernetes
Containerization and orchestration of data platform components using Docker and Kubernetes, including Helm, to ensure scalability, reliability, and high concurrency.
CI/CD Pipelines
Development and fine-tuning of CI/CD pipelines using Github/Gitlab to support continuous integration and delivery of data platform features.
PII Governance & Data Security
Implementation of PII governance, fine-grained access controls, and scalable data security practices within data platforms serving hundreds/thousands of daily users. Automation of processes for GDPR compliance.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishNative speakerFrenchBasic knowledgeRussianGoodSpanishNative speaker
Project history
Maintained and developed new features for a scalable lakehouse data platform leveraging Apache Iceberg, Trino, dbt, Airflow, Kafka, and Kubernetes, processing around 790 TB of data daily. Owned end-to-end batch and real-time data pipelines, optimizing performance by up to 60%. Developed a Starburst MCP serving around 400 daily users with PII governance and fine-grained access controls. Developed and fine-tuned CI/CD pipelines using Gitlab.
Worked on the migration of legacy data architectures into modern cloud-based platforms using Modern Data Stack technologies. Automated and streamlined ETL/ELT processes involving REST APIs, SaaS, and other data sources using Snowflake, dbt, and Airflow, reducing average processing times by 30%. Applied data modeling best practices (3NF, Star, Snowflake) to design and redesign data models, resulting in a 40% improvement in query performance.
Helped Enterprise clients in the Iberia region leverage the capabilities of the Snowflake Data Cloud. Managed complex technical evaluations including proof of concepts and pilot projects for more than 30 prospective clients. Delivered technical product presentations and demonstrations to C-level executives and data teams.