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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.
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.
Build and optimize Databricks pipelines using Delta Live Tables and PySpark, migrate legacy systems to modern CI/CD, and ensure output equivalence with Palantir Foundry.
Designs and builds scalable Azure data pipelines and analytics solutions for automotive clients, integrating SAP and other sources using Databricks, Azure Data Factory, and PySpark.
Builds and maintains Azure data pipelines with Data Factory and Synapse, then delivers interactive Power BI reports for business insights.
Designs and builds Azure data pipelines with Data Factory and Synapse, then delivers interactive Power BI reports for business insights.
Builds and maintains Azure data pipelines with Data Factory, models data in Synapse Analytics, and creates interactive Power BI reports for business insights.
Designs and maintains scalable data pipelines using Azure Data Factory, Synapse Analytics, and PySpark to ensure high-quality, secure data access for analytics.
Design and build secure, scalable data pipelines and infrastructure for ADAPT, a real-time energy-sector platform, using Azure services to enable live analytics and automation across maintenance and supply-chain operations.
Builds and maintains Azure data pipelines, Synapse analytics, and Power BI reports to transform raw data into business insights.
Build and maintain ETL pipelines and data warehouses to feed BI tools like Power BI, ensuring clean, structured datasets for analytics and price-prediction AI in a SaaS travel-tech stack.
Build and optimize Power BI dashboards, DAX models, and ETL pipelines for a tax/financial services automation platform using Azure SQL, Power Query, and Azure Data Services.
Design and build scalable ETL/ELT pipelines and data warehouses using BigQuery, Redshift, Synapse, Spark, Kafka, and dbt to power analytics and BI for enterprise clients.
Build and optimize Power BI dashboards and data models for a tax/financial services automation platform using DAX, SQL, and Azure Data Services.
Design and run PySpark/SQL tests to validate Azure-based data pipelines, ETL jobs, and data quality in a fintech and enterprise-product environment.
Builds and maintains ETL pipelines using Python and Azure Synapse Analytics to move and transform data for clients.
Designs and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to integrate data for analytics and reporting.
Design and maintain ETL pipelines using Python and Azure Synapse Analytics to integrate and process data for clients.
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure reliable data flows for analytics.
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