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Build and optimize AI-assisted ETL pipelines to integrate and transform healthcare data for analytics and compliance, using SQL, Talend/SSIS, and cloud tools.
Lead the design and modernization of enterprise data platforms using Informatica IDMC and Databricks Lakehouse, guiding large-scale data transformations for regulated industries.
Senior Data Engineer builds and maintains enterprise data products on Microsoft Fabric, designing scalable ELT pipelines and lakehouse solutions while collaborating with business stakeholders to deliver trusted, reusable data assets.
Builds and maintains secure, scalable data pipelines using Python, Spark, and Kafka for NATO’s federated data-sharing environment, ensuring governance, quality, and interoperability.
Build and maintain Collibra data-governance workflows and integrations (ServiceNow, JIRA, SailPoint) using Groovy scripting and APIs in an Agile team.
Designs and builds scalable data pipelines and semantic models for an intergovernmental organization using Python, Spark, Kafka, and governance frameworks.
Senior Data Engineer builds and secures federated data pipelines and metadata structures for NATO, ensuring trustworthy, interoperable data access across military and civilian systems using Python, Spark, Kafka, and ETL/ELT tools.
Design and implement data quality solutions using Collibra, Python, and PL/SQL to ensure trusted enterprise data for analytics and reporting in a large multinational organization.
Builds and maintains secure data pipelines and models for a NATO-aligned project, using Python, Spark, Kafka, and ETL tools to ensure data integrity and governance.
Build and maintain scalable Azure data pipelines using Databricks, Data Factory, PySpark, and Python to power enterprise analytics and reporting.
Designs and builds secure, federated data platforms for an intergovernmental organization using Python, Spark, and Kafka to create scalable ETL/ELT pipelines and robust data models.
Designs and maintains secure, scalable data pipelines and ontologies for a NATO agency using Python, Spark, and Kafka to enable trusted data-sharing in a federated environment.
Builds and maintains secure, scalable ETL/ELT pipelines in Python, Spark, and Kafka to support NATO’s federated data-sharing and governance needs.
Designs and builds scalable cloud-native data platforms and pipelines for healthcare clients, using Azure/AWS/GCP, Databricks, Airflow, and Kafka to enable secure, compliant analytics and governance.
Build and maintain scalable data pipelines using Databricks, PySpark, and Azure Data Factory to process large datasets for analytics and AI initiatives.
Designs and builds scalable ETL/ELT pipelines and data models using Python, Spark, and Kafka to support data architecture and governance in a federated environment.
Design and build SQL Server-based data pipelines and enterprise data warehouse for a European bank, modernizing legacy systems with Python, Airflow, and Azure while ensuring regulatory compliance.
Design and build end-to-end data solutions using Microsoft Fabric, Databricks and Snowflake to create scalable, secure data architectures and automated pipelines for Dutch organizations.
Build and maintain Azure-based data pipelines and star-schema models to feed analytics and models, using Synapse, ADF, and DevOps.
Build and maintain NATO’s secure, scalable data infrastructure using Python, Kubernetes, and cloud/airgapped tooling to power reliable data pipelines and AI/ML workloads across the Alliance.
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