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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.
Builds and maintains large-scale data pipelines in Azure, Databricks, and Delta Lake to support analytics and ML, ensuring clean, governed data for a financial-services firm.
Build and improve a data foundation for a large retail client, implementing data products, pipelines, and governance to enable a data mesh architecture using GCP, SQL, Python, and dbt.
Build and maintain scalable data pipelines for a hedge fund, transforming raw market and research data into standardized datasets for AI-driven trading systems.
Maintain and evolve Collibra’s data-governance platform, build self-service tooling, and integrate it with Databricks and enterprise systems using Python, Java, and Azure.
Build and optimize marketing websites and landing pages using Next.js, React, and headless CMS, while integrating AI tools for development and interactive content.
Build and optimize marketing websites and landing pages using Next.js and AI tools, migrating from WordPress to a headless CMS while ensuring performance, SEO, and accessibility.
Senior consultant designs and implements data governance frameworks, metadata management, and AI governance for EU public-sector clients using tools like Microsoft Purview and Collibra.
Build and secure data pipelines, migrate on-premise data to Azure, and set up governance frameworks to power analytics and reporting for a public-sector digital transformation.
Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
Leads data governance at a Belgian public-sector tech organization, setting standards, managing metadata and quality tools, and aligning teams with EU regulations like the Data Governance Act and AI Act.
Lead a team to design and operate enterprise-scale data pipelines, integrations, and governance for ABB’s Digital Engineering CoE, enabling trusted data for Digital Twins, knowledge graphs, and sustainability platforms.
Build and maintain data pipelines, dashboards, and analytics for a biomedical charity’s grant management and research funding systems, using SQL, cloud platforms, and BI tools.
Lead a team building cloud-native data platforms and AI pipelines, owning product backlogs and driving scalable solutions for Generative AI, LLMs, and vector databases.
Designs and builds scalable data pipelines, cloud-native data platforms, and production-grade AI solutions in Python/SQL on AWS, partnering with data scientists to industrialize models.
Designs and builds modern data platforms and big-data pipelines on Google Cloud Platform using Python, PySpark, and Terraform, following Medallion Architecture and data-governance best practices.
Build and maintain cloud and on-prem automation, CI/CD pipelines, and Kubernetes infrastructure for a media-focused AI personalization platform used by global brands.
Build and maintain cloud and on-prem automation, CI/CD pipelines, and Kubernetes infrastructure for a media-focused AI personalization platform.
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
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