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Lead a team to design and scale a data warehouse and pipelines using Azure Data Factory, Databricks, PySpark, and Kimball modeling, while coaching peers and improving reliability and performance.
Design and build big-data platforms and self-service BI solutions using Azure services, SQL, Python, and Databricks to advise and implement analytics systems for clients.
Senior Data Engineer builds scalable, secure data platforms for banking, logistics and manufacturing clients using Databricks, PySpark, SQL and cloud orchestrators.
Build and maintain scalable Azure data pipelines, integrate data sources, and optimize processing for analytics and AI workloads using Synapse, Databricks, and Fabric.
Build and maintain data pipelines and warehouses for cutting-edge clients using Python, SQL, and cloud tools like Azure Synapse and Databricks.
Build and maintain scalable, 24/7 data pipelines and analytics solutions for clients in industries like healthcare, energy, and logistics using SQL, Python, Azure, Spark, and Kafka.
Builds and optimizes data pipelines for clients using Databricks, Spark, and cloud tools to prepare clean, structured data for analytics and operations.
Designs and builds data pipelines in Azure or AWS, cleans and transforms data, and maintains ETL processes for analytics and reporting.
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.
Freelance Data Engineer building scalable data pipelines and analytics solutions in Azure for Finance and HR teams using Azure Data Factory, SQL, and Microsoft Fabric.
Build and maintain Azure-based data pipelines that integrate SAP S/4HANA with reporting systems, using SQL, Data Factory, and DevOps practices.
Designs and optimizes ETL pipelines and builds Power BI dashboards to turn raw data into business insights for internal clients.
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 scalable real-time data pipelines and infrastructure using tools like Azure Data Factory and SQL to ensure high-quality data integration for a growing climate-tech company.
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.
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 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.
Builds and optimizes Azure-based data pipelines with Databricks and Fabric, then delivers insights via Power BI dashboards for clients.
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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