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Builds and automates an Azure Databricks-based data platform with CI/CD pipelines for ingesting and transforming data in Azure Synapse.
Senior Data Engineer builds and maintains scalable Azure-based data pipelines using Databricks, Synapse, and Oracle ERP integrations to power analytics and reporting in Power BI.
Build and maintain Azure-based data pipelines and analytics platforms for a banking client using Azure Data Factory, Synapse, Databricks, and PowerBI.
Design and build an Azure-based data platform using Databricks and Synapse to enable reliable data flows and transformations for a client’s data products.
Build and automate an Azure-based data platform using Databricks, Synapse, and Terraform to reliably ingest, transform, and integrate data for a client’s data products.
Build and scale a new Azure-based data platform using Synapse, PySpark, and Git, while maintaining pipelines and monitoring for a finance-focused company.
Senior Data Engineer builds and maintains a Microsoft Azure-based BI platform, integrating data pipelines, modeling data, and creating Power BI reports for business teams.
Build and maintain Azure-based data pipelines and warehouses for clients, using SQL, Python, and Databricks to turn raw data into scalable analytics solutions.
Design, build, and maintain scalable data pipelines and warehouses using Azure Synapse, Databricks, and Power BI to deliver insights for customers.
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.
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.
Leads end-to-end data engineering projects, designing scalable ETL/ELT pipelines and cloud-based data architectures while coaching a team of engineers to deliver reliable, high-impact data solutions for enterprise clients.
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.
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.
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