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Build and maintain Azure-based data pipelines, profile undocumented datasets, and deliver clean, documented data for reporting and analytics using PySpark, SQL, and Power BI.
Build and maintain scalable .NET Core and Python microservices on Azure, integrating enterprise systems with event-driven patterns and DevOps automation.
Build and maintain scalable .NET Core/C# APIs and Azure cloud integrations using Logic Apps, Service Bus, and Azure Data Factory for enterprise clients.
Builds and maintains scalable .NET Core/C# APIs and microservices on Microsoft Azure, focusing on cloud-native integrations, data pipelines, and DevOps automation.
Build, test, and maintain banking applications using Oracle, PL/SQL, Azure Data Factory, and Agile methods while ensuring regulatory compliance and system reliability.
Builds and maintains secure data pipelines for a sensitive government project using Python, Spark, Hadoop, and Kafka, ensuring data quality and compliance with RBAC/ABAC models.
Senior Data Engineer builds enterprise dashboards and automated reports in Power BI to track IT investment portfolios, integrating data from PPM and financial systems for Michigan’s EPMO.
Design and lead enterprise-scale Data & AI solutions on Microsoft Azure, using Fabric, Databricks, and Purview to build scalable analytics and AI platforms for clients.
Design and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, and Spark, delivering clean datasets for analytics and ML in a cloud-native environment.
Design and lead enterprise-scale Azure data platforms and AI solutions using Fabric, Databricks, Synapse, and Power BI to modernize analytics and enable AI/ML workflows.
Leads a team to design, build, and deploy Azure-based data pipelines and analytics solutions using Databricks, PySpark, and SQL, ensuring scalability and governance.
Lead a data engineering team to build and operate a secure, scalable Databricks lakehouse on Azure for banking analytics, AI, and regulatory reporting using Kafka, dbt, and Unity Catalog.
Designs and leads enterprise-scale AI and cloud data platforms for an airline industry client, leveraging Azure services like Databricks, OpenAI, and Delta Lake.
Build and optimize Databricks-based data pipelines and cloud data platform migrations for a UAE organization’s final transformation phase.
Designs and leads enterprise-scale cloud data platforms and AI systems for an airline, focusing on Azure, GenAI, and modern data architecture.
Designs and builds scalable data pipelines on Microsoft Azure, integrating diverse data sources and optimizing analytics platforms using Databricks, Spark, and Azure Data Factory.
Build and own end-to-end data pipelines in Azure SQL and Microsoft Fabric, integrating Salesforce and JD Edwards into Power BI dashboards for a global building-materials trading company.
Lead a team building and optimizing large-scale data pipelines, data lakes, and warehouses using Azure, Spark, Kafka, and Snowflake to power analytics and ML for Emirates’ enterprise systems.
Design and maintain Azure-based data pipelines, warehouses, and analytics using SQL, Python, and Databricks to enable AI and reporting for a diversified investment group.
Design and build data pipelines, warehouses, and analytics solutions for Emirates Group using Azure, Spark, Kafka, and SQL to support airline operations and reporting.
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