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Design and build cloud-based data pipelines and platforms for clients, using Snowflake/Databricks/BigQuery and orchestration tools like Airflow/dbt to enable AI and analytics.
Build and maintain production-grade data pipelines and cloud data platforms for clients across industries, modeling datasets for analytics and AI while ensuring data quality and security.
Build and maintain ETL/ELT pipelines and cloud data solutions using AWS, Snowflake, Python, and Go; integrate messaging and CI/CD tooling.
Build and maintain scalable data pipelines and curated data products on Databricks using SQL, Python, and PySpark, with a focus on governance and quality.
Build and maintain data pipelines and AI-driven analytics on Arla’s Azure Databricks lakehouse to deliver insights that guide business decisions using PySpark, SQL, and Terraform.
Builds back-end data models and pipelines for IoT, workplace safety, finance, and ESG reporting using Azure, Databricks, PySpark, and Power BI.
Design and build scalable data pipelines and models using Databricks, Microsoft Fabric, and Azure tools to deliver business insights and solutions for clients.
Build and optimize ETL pipelines and data models using Databricks, Microsoft Fabric, and Azure tools to deliver scalable data solutions for clients.
Lead the architecture and hands-on development of a modern data platform using Azure, Databricks, and dbt to deliver scalable, governed data products and pipelines for an investment firm focused on health and sustainability.
Build and maintain scalable data pipelines for machine learning systems, ensuring data quality and security while collaborating with cross-functional teams to deliver AI solutions for clients.
Part-time role building data pipelines and cloud-native platforms for clients, using Python, SQL, and modern stacks like Azure, Snowflake, and dbt.
Build and maintain enterprise data pipelines and products on Microsoft Fabric/Azure to power analytics, automation, and AI at a global healthcare engineering firm.
Build and maintain scalable data pipelines for IoT telemetry using PySpark, Airflow, and Iceberg on AWS, ensuring high-quality data for analytics and billing in a clean-cooking fuel company.
Senior Data Engineer to migrate finance cost allocation from Alteryx/SQL Server to Databricks, replacing legacy workflows with PySpark pipelines and SAP HANA sources.
Build and maintain data pipelines and models in Python, SQL, and PySpark to ingest, transform, and deliver data for clients, turning insights into actionable value.
Build and maintain cloud-based data pipelines and AI-driven analytics using Azure Databricks, PySpark, SQL, and Power BI to deliver business insights.
Builds and maintains BI back-end pipelines using Azure, Databricks, and PySpark to deliver clean, structured data for analytics and decision-making across the Aarsleff Group.
Build and maintain scalable data pipelines on Databricks using SQL, Python, and PySpark, focusing on ingestion, transformation, governance, and delivery with Unity Catalog.
Lead the migration to Databricks and design high-performance data pipelines using Python and PySpark to enable a data-driven culture.
Build and optimize a Databricks-based Lakehouse platform for a multi-channel retail business, transforming raw data into scalable, business-ready insights using PySpark, Delta Lake, and Unity Catalog.
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