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Designs and maintains scalable data pipelines and cloud-based data infrastructure (Azure, AWS, Snowflake) to transform raw data into actionable insights for analytics and AI use cases.
Design and maintain a secure, scalable data platform for multimodal medical datasets, enabling AI training and real-time hospital workflows using open-source tools like Kubernetes, Terraform, and Dagster.
Build and maintain scalable Azure data pipelines using Databricks, Data Factory, PySpark, and Python to power enterprise analytics and reporting.
Build and maintain scalable data pipelines and cloud-based data infrastructure for clients, transforming raw data into insights using Azure, AWS, Snowflake, and Python.
Build and own scalable data pipelines and AI-driven web scraping systems for Roamler’s outlet-data products, integrating LLMs and agent frameworks on AWS/Azure.
Builds cloud-native data pipelines and warehouses in Python/SQL using Airflow, Docker, and cloud platforms to power AI/ML products.
Build and maintain Airflow-based data pipelines that ingest financial market data, automate reporting, and deploy across cloud environments using Python, SQL, and AI coding assistants.
Design and build scalable data platforms and ETL/ELT pipelines using cloud tools like Azure/AWS, Python, SQL, and Kafka to ensure reliable, high-quality data solutions.
Builds and optimizes cloud-based data platforms and pipelines for enterprise clients using AWS, Azure, or GCP, integrating data sources and collaborating with analysts and developers.
Senior Data Engineer to modernize GarantiBank’s banking data platform, building scalable pipelines and models with SQL Server, Python, Airflow, and Git for regulatory and financial reporting.
Build and maintain scalable data pipelines for AI/ML projects using Python, PySpark, SQL, and cloud platforms like AWS/GCP/Azure.
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.
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