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Designs, builds, and maintains Azure-based data pipelines and lakehouse architectures using Databricks, Synapse, and Data Factory to deliver clean, reliable datasets for analytics and AI.
Designs and maintains scalable data pipelines using Python, SQL, Spark, and Azure tools to feed analytics and AI systems.
Designs and builds secure, scalable cloud data pipelines and platforms using Azure, Databricks, PySpark, and Kafka to power analytics and AI.
Designs and builds scalable Azure-based data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to power analytics and reporting for enterprise clients.
Build and optimize ETL pipelines using Azure Synapse Analytics and PySpark to move and transform data for clients.
Designs and implements cloud-native data pipelines on Databricks and Azure, building scalable data lakes for analytics and ML workloads.
Design and lead a secure, scalable MI/BI platform using Azure Synapse Analytics, Microsoft Fabric, and Power BI to transform business reporting requirements into technical solutions.
Build and maintain cloud data platforms (Data Lakehouse, Data Warehouse) in Azure, designing ELT pipelines, streaming flows, and CI/CD automation for enterprise clients.
Build and automate the Microsoft Dynamics 365 and Power Platform infrastructure for UKG’s enterprise ERP, integrating Azure, GCP, DevOps, and AI tools to improve reliability, security, and developer self-service.
Designs and maintains enterprise data architecture across Azure, Snowflake, and Oracle systems, builds ETL pipelines, and ensures data governance for a city agency’s mission-critical systems.
Solution Engineer guiding enterprises to modernize data platforms using Microsoft’s cloud databases and analytics stack (Fabric, Azure Databricks, SQL DB, Cosmos DB) and AI integrations.
Build and maintain scalable Azure and Microsoft Fabric data pipelines and lakehouse/warehouse solutions to power generative AI, RAG, and intelligent agents for enterprise analytics.
Senior Data Engineer builds and optimizes cloud data pipelines (PySpark, Delta Lake, Azure Synapse) to modernize legacy financial analytics infrastructure and improve reporting reliability.
Build and optimize a modern analytics platform using Microsoft Fabric and Azure cloud tools to migrate from legacy SAP BW, focusing on data pipelines, ETL workflows, and Power BI reporting.
Builds and maintains enterprise data pipelines and complex SQL views on Microsoft Azure to support data-driven decisions for a public-sector client.
Designs and implements scalable Azure and Databricks data platforms for enterprise AI solutions, focusing on data lakes, streaming analytics, and governance.
Design and build scalable Azure Databricks data pipelines and warehouses using PySpark, Delta Lake, and Azure services to power enterprise analytics and AI workloads.
Build and optimize scalable Azure Databricks pipelines and data lakes using PySpark and Delta Lake to power enterprise analytics and AI workloads.
Senior Data Engineer builds and maintains cloud-based MI platforms using Azure Synapse, SQL, Power BI, and Fabric to support government analytics and reporting.
Designs and builds scalable data pipelines and analytics solutions using Microsoft Fabric, Azure Synapse, and Power BI to deliver business insights.
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