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Builds secure internal apps and scalable data pipelines using Microsoft Fabric and Azure for a global mining client.
Design and build enterprise data pipelines using Microsoft Fabric, Synapse, and Azure Data Factory to power analytics and AI workloads for an edtech company.
Design and maintain Azure-based data pipelines for a Microsoft Fabric-powered lakehouse, integrating utility and IoT data for analytics and reporting.
Build and maintain scalable data pipelines on Azure Databricks using PySpark and SQL, enforce governance with Microsoft Purview, and integrate analytics via Microsoft Fabric.
Build and maintain scalable data pipelines and analytics datasets using Azure Databricks, Microsoft Fabric, and Python, enabling reporting and AI use cases for enterprise clients.
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Build and deploy AI-driven applications and agents using Microsoft Copilot Studio, Azure OpenAI, and Azure AI Services to solve real business problems in a Microsoft enterprise environment.
Leads a team building and optimizing scalable data pipelines on Azure Databricks and Microsoft Fabric to power BI and AI use cases across enterprise platforms.
Builds and maintains enterprise data pipelines and analytics platforms using SQL, ETL/ELT, and cloud tools like Microsoft Fabric to support reporting and AI initiatives.
Designs and maintains Microsoft Fabric data pipelines, OneLake environments, and analytics-ready data using Azure services, PySpark, and T-SQL.
Designs and builds enterprise data pipelines using Microsoft Fabric, Synapse, and Azure Data Factory to power analytics and AI workloads.
Designs and builds Microsoft Fabric Lakehouse layers (Bronze, Silver, Gold) and pipelines to integrate Dataverse data, enabling Power BI reporting and AI initiatives with a focus on data quality and governance.
Build and maintain scalable ETL/ELT pipelines and data platforms to turn enterprise data into trusted, analytics-ready datasets for BI and AI initiatives.
Builds and optimizes SQL/Python pipelines to extract and transform marketing data from enterprise platforms, enabling audience segmentation and campaign performance analysis.
Build and optimize data pipelines using Microsoft Fabric, SQL Server, and Dynamics 365 to integrate and transform large datasets, then deliver insights via Power BI dashboards for business stakeholders.
Design and build scalable cloud data pipelines using Azure Data Factory, Snowflake, and Databricks to power analytics and reporting for enterprise clients.
Maintains and modernizes data architecture (SQL Server, Power BI, SSRS), builds ETL pipelines, models data, and supports dashboards for global clients.
Builds and scales a Microsoft Fabric-based data lakehouse, integrating Dataverse and enterprise systems, and enabling Power BI reporting and AI initiatives.
Builds and optimizes enterprise data pipelines and Lakehouse layers using Microsoft Fabric, Power BI, and Dataverse to support AI-driven analytics and reporting.
Designs and builds Microsoft Fabric data pipelines and lakehouses to prepare enterprise data for AI and analytics workloads.
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