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Builds and maintains data infrastructure and pipelines for training bootcamps and ML projects, collaborating with clients like ING and ASML.
Build and maintain scalable data pipelines and infrastructure to power AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Designs and builds scalable data pipelines to power AI-driven projects and advises clients on data strategy in a collaborative tech environment.
Designs and maintains scalable ETL pipelines and data services using Python/Scala, Kafka, Docker, and Kubernetes to ensure data integrity for a media company.
Designs and builds Azure-based data pipelines and warehouses using Infrastructure as Code, solving complex data challenges for a data-processing company.
Build and maintain scalable data pipelines for logistics operations, translating business needs into robust data infrastructure using SQL and Python.
Designs and maintains scalable Azure-based data architectures, builds reliable ETL workflows, and manages data pipelines using Azure Data Factory, Python, and SQL.
Build and deploy data pipelines and AI solutions for clients using Python, Docker, and cloud services as a data engineering consultant.
Design and build scalable Azure data pipelines using Data Factory, Fabric, and Databricks to transform raw data into actionable insights for clients.
Build scalable data pipelines for market data and ML workflows to power quant research and trading systems using C++/Python and SQL.
Build and maintain scalable data pipelines in Java, ensuring high-quality, analytics-ready data for cross-functional teams using Hadoop/Spark and cloud platforms.
Builds scalable Azure data platforms using Databricks and Kubernetes, implements Medallion/Kimball architectures, and designs robust data pipelines with governance, security, CI/CD, IaC, and MLOps.
Build and maintain Azure-based data pipelines that turn business needs into production-ready data solutions, collaborating with data scientists and consultants.
Builds reliable data pipelines and models for a government-focused data platform that supports digital services for public sector and citizens.
Build and scale ETL pipelines and Qlik Sense dashboards to power a trading analytics platform for a multinational commodity group.
Senior Data Engineer at DataGrow builds and optimizes robust data pipelines using Python and SQL, mentors junior engineers, and collaborates with stakeholders to drive data-driven decisions.
Designs secure data pipelines and governance frameworks to ensure reliable, interoperable data for military and civilian stakeholders in a federated environment.
Design and build scalable data pipelines, ETL systems, and data lakes/warehouses to support data science projects and analytics operations.
Build and scale Databricks-based data pipelines and lakehouse integrations for healthcare and banking clients, maintaining robust data platforms in a collaborative team.
Build and maintain data pipelines and cloud-based data solutions using ETL, Python, SQL, Spark, and Airflow for client projects.
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