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Lead a team to design and build scalable Azure data pipelines and productionize ML models, using Databricks, Spark, Kafka and Python/Java.
Leads a team building scalable data pipelines and infrastructure to optimize the Dutch electricity grid for the energy transition using Python, SQL, AWS, Kubernetes and MLOps tools.
Build and maintain scalable cloud data platforms and pipelines using Python, Spark, Kafka, and Airflow for analytics and ML at leading organizations.
Builds and maintains real-time data pipelines in Amsterdam using Airflow, PySpark, and Python to process post-trade market data for reporting and analytics.
Lead a team to build and maintain cloud data platforms on AWS/Azure/GCP using Python, SQL, and CI/CD, ensuring scalable, secure data infrastructure aligned with business needs.
Lead the build-out of a scalable data platform for healthcare clients, designing ETL pipelines, cloud infrastructure, and dashboards in Python/R and GCP/Azure to deliver real-time insights that drive decisions.
Build and maintain scalable PySpark data pipelines on Databricks, orchestrating workflows with Python and Airflow to deliver reliable analytics-ready data.
Builds and maintains scalable, secure data platforms using Azure, Databricks, and Python to power data-driven decisions for clients in energy, healthcare, logistics, and mobility.
Lead a team to design and build scalable data pipelines for healthcare analytics using Python, Airflow/Prefect, dbt, and Databricks, ensuring reliability and governance.
Design and deploy data pipelines for transport data using Python, SQL, and PostgreSQL, enabling internal and external stakeholders to access insights.
Senior Big Data Engineer builds and optimizes scalable data pipelines to transform Swisscom’s network data into AI-driven insights for telecom strategy, using Python, Spark, and cloud tools.
Build and maintain scalable data pipelines and infrastructure using Python, Scala, Kafka, Airflow, and Kubernetes to power analytics and ML at a media-tech company.
Build and deploy Microsoft Fabric lakehouses and pipelines for enterprise clients, enforcing engineering rigor, CI/CD, and scalable architectures while mentoring teams on best practices.
Build and optimize data platforms and architectures for clients in finance, government, and healthcare using SQL, Python, and ETL tools like Data Factory and Airflow.
Build and maintain an AWS-based lakehouse, design PySpark ETL/ELT pipelines, and implement Airflow/IaC workflows to power AI-driven decisions for 30,000+ retailers.
Senior Data Engineer building cloud-based data platforms for logistics and mobility clients using Python, SQL, Azure, and Databricks to optimize supply chains, route planning, and real-time tracking.
Lead a team to design and modernize a scalable enterprise data platform for a commercial real estate firm, using Redshift, Airflow, Kafka, and PostgreSQL in AWS.
Build and maintain scalable ETL/ELT pipelines in Snowflake using Python, SQL, dbt, and AWS to support enterprise data needs.
Design and build large-scale data pipelines in Python/Scala and Spark to curate high-quality datasets for training next-gen AI models at TB/PB scale.
Senior Data Engineer builds and maintains scalable ETL pipelines in Python/Java and SQL, ensuring reliable data flows for enterprise clients.
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