Open to opportunities

Ramón Alm

@ramnalm

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Data engineer building scalable pipelines and automating cloud infrastructure.

United Kingdom

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What I'm looking for

I seek a collaborative, growth-oriented data engineering role focused on scalable cloud pipelines, automation (IaC/CI-CD), and opportunities to improve data accessibility and performance.

I am a Data Engineer with three years of hands-on experience building scalable data pipelines, automating infrastructure, and optimizing data workflows across cloud platforms. I specialise in designing data models and processing large datasets to deliver reliable analytics-ready data.

At Places For People I engineered GCP Dataflow and Airflow pipelines that improved processing efficiency by 30%, created modular dbt transformations, and developed a Python API to ingest IoT data into BigQuery daily to improve accessibility for analytics teams.

I also manage infrastructure as code with Terraform, build containerised CI/CD pipelines with Docker and Azure DevOps, and have experience processing data with PySpark on Dataproc. My background includes ETL development on AWS (Redshift, S3) and practical experience migrating legacy SSRS/SSIS and Oracle workloads into BigQuery.

I bring a pragmatic, automation-first approach to data engineering, emphasising maintainability, cost-conscious design, and collaboration with stakeholders to deliver production-grade data solutions.