11/12/2026 updated
GS
100 % available
Senior Data Engineer | Data Platform Architect | Cloud Data Architect | Technical Lead
Netherlands
Only remote
Master of Science in Software EngineeringAbout me
Senior Data Engineer & Cloud Data Architect with 10+ years of experience. I specialize in Databricks, Snowflake, AWS, Azure, GCP, Python, PySpark, SQL and dbt. I help businesses build scalable data platforms, automate ETL/ELT pipelines, and modernize cloud data architectures.
SAP CloudSql Data WarehouseClient Server ModelsCloud EngineeringData ArchitectureData CentersData InfrastructureData Terminal EquipmentData VirtualizationIBM InfoSphere DataStageEnterprise Architecture FrameworkData Access LayerDataOpsAzure Data LakeSolution Architecture
Cloud Data Platform Architecture
Design and implementation of enterprise-scale cloud-native data platforms on AWS, Azure, and GCP, including Lakehouse architectures, Data Mesh, and Medallion Architecture using services such as Snowflake, Databricks, BigQuery, Delta Lake, and Azure Synapse Analytics.
ETL/ELT Engineering and Orchestration
Engineering and automation of production ETL/ELT pipelines using dbt Cloud, Apache Airflow, Azure Data Factory, Apache Kafka, Spark Structured Streaming, and Cloud Composer, enabling real-time and batch data processing at scale.
Programming and Data Engineering
Extensive use of Python, SQL, PySpark, Apache Spark, Spark SQL, Scala, and Bash for distributed computing, data transformation, incremental processing, CDC concepts, and API integration across enterprise data environments.
Data Warehousing and Lakehouse Modeling
Implementation of data warehousing solutions using Snowflake, Databricks, Delta Lake, BigQuery, Teradata EDW, and Azure Synapse, applying Dimensional Modeling, Star/Snowflake Schema, Data Marts, and Domain-Oriented Data Modeling.
Data Governance, Security and Compliance
Establishment of data governance frameworks covering GDPR, Data Quality, Data Contracts, Data Lineage, Metadata Management, RBAC, Column-Level Security, Identity and Access Management, and Federated Governance across distributed data products.
DevOps and Infrastructure Automation
Automation of cloud infrastructure and deployment workflows using Terraform, Azure DevOps, GitHub Actions, AWS CloudFormation, and CI/CD pipelines, supporting environment promotion, pipeline monitoring, and cloud cost optimization.
Machine Learning and Analytics Integration
Integration of ML pipelines and feature engineering workflows using Vertex AI, Amazon SageMaker, and MLOps practices, supporting demand forecasting, inventory optimization, predictive analytics, and self-service analytics.
Healthcare, Banking, Fintech and SaaS Data Integration
Application of secure healthcare data integration concepts including EHR/EMR architecture, HL7/FHIR interoperability, patient data privacy, financial data pipelines, payment processing, CRM integration, and multi-domain data integration.
Technical Leadership and Agile Delivery
Leadership of cross-functional engineering teams using Agile/Scrum methodologies, stakeholder management, engineering mentoring, and data platform architecture across international enterprise environments.
Design and implementation of enterprise-scale cloud-native data platforms on AWS, Azure, and GCP, including Lakehouse architectures, Data Mesh, and Medallion Architecture using services such as Snowflake, Databricks, BigQuery, Delta Lake, and Azure Synapse Analytics.
ETL/ELT Engineering and Orchestration
Engineering and automation of production ETL/ELT pipelines using dbt Cloud, Apache Airflow, Azure Data Factory, Apache Kafka, Spark Structured Streaming, and Cloud Composer, enabling real-time and batch data processing at scale.
Programming and Data Engineering
Extensive use of Python, SQL, PySpark, Apache Spark, Spark SQL, Scala, and Bash for distributed computing, data transformation, incremental processing, CDC concepts, and API integration across enterprise data environments.
Data Warehousing and Lakehouse Modeling
Implementation of data warehousing solutions using Snowflake, Databricks, Delta Lake, BigQuery, Teradata EDW, and Azure Synapse, applying Dimensional Modeling, Star/Snowflake Schema, Data Marts, and Domain-Oriented Data Modeling.
Data Governance, Security and Compliance
Establishment of data governance frameworks covering GDPR, Data Quality, Data Contracts, Data Lineage, Metadata Management, RBAC, Column-Level Security, Identity and Access Management, and Federated Governance across distributed data products.
DevOps and Infrastructure Automation
Automation of cloud infrastructure and deployment workflows using Terraform, Azure DevOps, GitHub Actions, AWS CloudFormation, and CI/CD pipelines, supporting environment promotion, pipeline monitoring, and cloud cost optimization.
Machine Learning and Analytics Integration
Integration of ML pipelines and feature engineering workflows using Vertex AI, Amazon SageMaker, and MLOps practices, supporting demand forecasting, inventory optimization, predictive analytics, and self-service analytics.
Healthcare, Banking, Fintech and SaaS Data Integration
Application of secure healthcare data integration concepts including EHR/EMR architecture, HL7/FHIR interoperability, patient data privacy, financial data pipelines, payment processing, CRM integration, and multi-domain data integration.
Technical Leadership and Agile Delivery
Leadership of cross-functional engineering teams using Agile/Scrum methodologies, stakeholder management, engineering mentoring, and data platform architecture across international enterprise environments.
Experience
Professional experience10+ years
Freelancer since2015
Languages
EnglishFluent
Project history
Architected domain-oriented Snowflake data models and governed data products enabling decentralized analytics through a federated Data Mesh architecture. Engineered and automated production ELT pipelines using Snowflake, SQL, and dbt Cloud, reducing time-to-insight by 40%. Orchestrated cross-domain workflows using Apache Airflow and automated cloud infrastructure using Terraform and CI/CD.
Architected and delivered an enterprise Open Data Platform using Azure Databricks, Apache Spark, and Delta Lake with a hub-and-spoke Data Mesh architecture. Implemented a three-layer Medallion Architecture and a reusable metadata-driven ingestion framework. Automated provisioning using Terraform and established federated governance through schema versioning and data contracts.
Designed and implemented a cloud-native, event-driven data platform on Google Cloud Platform using BigQuery, Pub/Sub, Dataflow, and Dataproc. Developed scalable dbt Cloud transformation pipelines and reduced manual data processing by 60%. Integrated Vertex AI with governed BigQuery datasets and implemented Cloud Composer, Dataplex, and Data Catalog for governance and orchestration.