Results-driven Cloud Data Engineer with 13 years of progressive experience in Azure and AWS solution architecture, currently delivering high-impact data solutions at Capgemini Netherlands. Architecting and operationalizing end-to-end scalable data platforms that drive business value and innovation.
Expert in Azure DevOps, ETL frameworks, and DataOps best practices, with a strong focus on automation, performance tuning, and cost-efficient cloud-native solutions. Proven track record in leading complex data initiatives, optimizing development workflows, and enabling seamless data integration across diverse enterprise systems.
Highly skilled in real-time monitoring, incident resolution, and maintaining high availability of mission-critical pipelines. Recognized for bridging the gap between data engineering, DevOps, and MLOps — ensuring faster delivery, better reliability, and measurable outcomes
Cloud Platforms:
Azure (Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Databricks), AWS (S3, Redshift, Glue)
Big Data & Processing:
Databricks (Certified Data Engineer Professional), Apache Spark (PySpark), Delta Lake, Hadoop
Data Engineering & Pipelines:
ETL/ELT, DataOps, MLOps, Batch & Streaming Pipelines, Orchestration (Airflow, ADF), CI/CD for Data Pipelines
Programming & Scripting:
Python, PySpark, Scala, SQL, Shell Scripting, JSON, YAML
DevOps & Automation:
Azure DevOps, Git, Terraform, Docker, Jenkins, CI/CD Automation
Databases & Storage:
SQL Server, PostgreSQL, MySQL, Snowflake, Redshift, Cosmos DB, Azure Blob Storage, S3
Monitoring & Incident Management:
Azure Monitor, Log Analytics, Data Pipeline Monitoring, Alerting
Tools & Frameworks:
Databricks CLI, MLflow, Jupyter Notebooks, GitHub Actions, Visual Studio Code
Soft Skills:
Solution Architecture, Agile/Scrum, Stakeholder Communication, Technical Leadership, Documentation
Custom Championship Award @ ABN AMRO Amsterdam April-2024