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Build and maintain scalable data pipelines on Azure using PySpark and Synapse to integrate and process data for consumer-focused comparison platforms.
Designs and maintains scalable data pipelines in Microsoft Azure Fabric, transforming raw data into reliable analytics-ready datasets using Azure Synapse, Data Factory, Spark and SQL.
Build and maintain Azure-based data pipelines and star-schema models to feed analytics and models, using Synapse, ADF, and DevOps.
Design and build scalable cloud data pipelines and AI-ready architectures using Azure services to turn raw data into reliable, analytics-ready datasets for ML and decision-making.
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.
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.
Build and maintain data pipelines and ETL processes using Azure tools to transform raw data into structured, usable formats for clients.
Build and optimize cloud-based data platforms for clients using Microsoft Azure, Python, SQL, and ETL tools to transform raw data into reliable, scalable pipelines for analytics and AI.
Build and maintain a scalable data platform using Azure, PySpark, Delta Lake, and Microsoft Fabric to power analytics and decision-making across the organization.
Design and build scalable data platforms using Microsoft Azure, Fabric, and Power BI to deliver analytics and insights for clients.
Design, build, and optimize modern data platforms on Microsoft Azure for leading Dutch organizations, focusing on data ingestion, transformation, modeling, and visualization.
Designs and builds ETL/ELT pipelines, data models, and CI/CD workflows using tools like Snowflake, Airflow, Spark, and Kubernetes for high-profile clients.
Provide technical support and troubleshoot Azure-based data platforms like Synapse and SQL for clients, maintaining cloud data infrastructure.
Designs and builds BI solutions on Microsoft Azure for enterprise clients, including data pipelines, DWH, and Power BI dashboards.
Build and maintain data pipelines and models for a centralized data platform supporting BI and AI, using Databricks, Azure tools, SQL, Python, and Spark.
Designs and implements cloud-native big data pipelines on Databricks and Azure, bridging data engineering and science to build scalable data lakes and ML-ready datasets.
Design and build scalable cloud data platforms on Microsoft Azure, including BI and analytics solutions for enterprise clients in cybersecurity and other sectors.
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Designs and builds cloud-native data pipelines on Azure, integrating data for analytics and ML models using Spark, Databricks, and Azure Synapse.
Designs and builds Azure-based data pipelines, ETL/ELT workflows, and data lakes to feed analytics and ML models, collaborating with architects and analysts.
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