Manuel Gómez Candelas

I am a data engineer with experience in ETL pipeline design and dimensional modelling. I’ve worked with SQL-based solutions to ensure data consistency and historical accuracy.

I’m deeply interested in cloud-native architectures and DevOps practices, and I’ve built a strong foundation in technologies such as AWS, Docker, Kubernetes, and Terraform. I apply infrastructure-as-code principles and CI/CD workflows to ensure scalable, maintainable solutions.

I also have a background in full-stack software development, with experience in Java, Spring Boot, C#, .NET, and mobile technologies like Kotlin and Jetpack Compose. This allows me to collaborate effectively across data and engineering teams, bridging backend development with data infrastructure.

🔧 Technologies I work with:

- Data Engineering: Python, SQL, Spark, dbt, Airflow, Oracle Data Integrator (ODI)

- Cloud & DevOps: AWS, Azure, Docker, Kubernetes, Terraform, Git, CI/CD

- Data modelling: Dimensional, SCD Type 2, incremental loading

🎓 Graduated in Software Development and pursuing a BSc in Data Science (part-time), with certification in Azure and in the process of obtaining AWS Data Engineer Associate certification.

💬 I am available to collaborate on projects that require:

- Building and maintaining ETL pipelines

- Automating data processes

- Supporting integration and deployment tasks

- Participating in teams working with cloud-native technologies

- Full-stack development and API integration

- Any project where data and cloud technologies play a role