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Designs, builds, and maintains secure ELT pipelines and data models for municipal data, ensuring high-quality datasets for BI, policy, and AI use cases in a government setting.
Build and maintain cloud-based data pipelines and warehouses for AI-driven marketing analytics, integrating APIs and ETL processes using Python, SQL, and cloud platforms like AWS/GCP.
Build and optimize Azure-based data pipelines and models for a bank’s liquidity and regulatory reporting, ensuring accuracy and compliance in a regulated environment.
Builds scalable ETL pipelines and data models using Java, Spark, Flink, Kafka, and NoSQL to process raw intelligence data into actionable insights for national security investigations.
Build and maintain a scalable data warehouse for a national pharmacy group, integrating external sources with Python, Airflow, and PostgreSQL to power internal dashboards.
Build and maintain data pipelines that clean, normalize, and embed unstructured documents for RAG systems using Python, Ollama, and Supabase pgvector.
Build and maintain scalable data pipelines and warehouses for a fast-growing EV-charging network, enabling analytics and insights that accelerate sustainable mobility.
Build and maintain data pipelines in Python and SQL to feed analytical systems for environmental and transport oversight, using PostgreSQL, Airflow, and modern data stack tools.
Design and build cloud data pipelines and warehouses using Azure services to turn raw data into insights for clients, focusing on ETL, performance, and scalable architectures.
Design and maintain data pipelines and warehouses, optimizing ETL processes on AWS or GCP to support data-driven solutions across teams.
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 Databricks pipelines and BI integrations to deliver clean, accessible data for business decisions in a product-focused team.
Build and optimize cloud-based data pipelines on Azure, integrating ML features for enterprise clients in the Netherlands.
Builds and optimizes Azure-based data pipelines with Databricks and Fabric, then delivers insights via Power BI dashboards for clients.
Designs and maintains scalable data pipelines and cloud-based warehouses to process large volumes of energy data for analytics and ML.
Build and maintain scalable data infrastructure in Azure using IaC and CI/CD, design pipelines, and model data for analytics and reporting.
Designs, builds, and maintains data pipelines and warehouses using Microsoft Azure, SQL/NoSQL, and Python/Java/Scala to support analytics and AI workloads.
Build and maintain cloud-based data lakes and ETL pipelines, integrate diverse data sources, and enable data-driven decision-making through visualization and team guidance.
Build and maintain real-time data pipelines on GCP to power Orbisk’s AI-driven food waste monitoring system, enabling hospitality clients to cut waste and emissions.
Build and maintain data pipelines and ETL processes using Azure tools to transform raw data into structured, usable formats for clients.
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