
Tommie ros
Amsterdam, Netherlands
Tommie ros
Python, SQL, AWS & Azure Data Analytics Engineer
Category : Systems automation
I provide professional data engineering and analytics services with expertise in Python, SQL, AWS, and Azure. My focus is on building scalable data platforms, designing and optimizing ETL/ELT pipelines, and deploying machine learning solutions that deliver actionable insights.
Key capabilities include:
Data Engineering: Development of robust pipelines using Python, PySpark, and SQL across cloud environments.
Cloud Expertise: Hands‑on experience with Azure Data Factory, Databricks, Blob Storage, SQL Database, AWS ECS, and related services.
Analytics & Machine Learning: Applying advanced techniques with TensorFlow, scikit‑learn, and Power BI to transform data into business value.
Automation & CI/CD: Implementing reproducible deployments with Azure DevOps, GitHub Actions, and Docker/Kubernetes.
Security & Governance: Ensuring reliable, secure, and future‑proof solutions with tools like Azure Key Vault and Unity Catalog.
I combine technical depth with a results‑driven mindset, helping organizations streamline their data workflows, improve reliability, and unlock insights from complex datasets.
Key capabilities include:
Data Engineering: Development of robust pipelines using Python, PySpark, and SQL across cloud environments.
Cloud Expertise: Hands‑on experience with Azure Data Factory, Databricks, Blob Storage, SQL Database, AWS ECS, and related services.
Analytics & Machine Learning: Applying advanced techniques with TensorFlow, scikit‑learn, and Power BI to transform data into business value.
Automation & CI/CD: Implementing reproducible deployments with Azure DevOps, GitHub Actions, and Docker/Kubernetes.
Security & Governance: Ensuring reliable, secure, and future‑proof solutions with tools like Azure Key Vault and Unity Catalog.
I combine technical depth with a results‑driven mindset, helping organizations streamline their data workflows, improve reliability, and unlock insights from complex datasets.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
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