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Build and maintain Azure-based data pipelines and analytics solutions using Microsoft Fabric, Azure Data Lake, and Azure Data Factory.
Design and maintain Azure-based data pipelines and ETL workflows to optimize business processes and support data-driven decisions.
Designs and builds Azure Databricks-based data pipelines and Lakehouse architectures using PySpark and SQL to transform and integrate data for scalable cloud analytics.
Build and maintain data pipelines using Azure Data Factory and Databricks, ensuring clean, accessible data for analytics and ML while collaborating with data scientists and stakeholders.
Build and optimize end-to-end data pipelines using SQL, Python, and cloud platforms like Azure Data Factory and Databricks.
Designs and builds scalable data pipelines and warehouses for healthcare analytics, integrating SAP, Salesforce, and cloud sources using Python, SQL, and Snowflake/Databricks.
Build and maintain scalable data pipelines and models for clients using cloud platforms like Snowflake and Azure, orchestrated with Apache Airflow.
Build and maintain Microsoft-centric data pipelines and lakehouse/warehouse architectures to support governed enterprise analytics and operational reporting.
Builds and maintains ETL/ELT pipelines and graph databases for telecom and financial clients, using Python, SQL, and cloud tools like BigQuery or Azure Synapse.
Build and maintain scalable data pipelines and cloud-based analytics platforms using Azure, PySpark, and Power BI to power MetLife’s global insurance and financial services.
Senior Data Engineer builds and optimizes cloud data pipelines for financial clients, using SQL, Azure/Snowflake/Databricks to turn raw data into analytics-ready formats.
Designs and maintains scalable data pipelines and warehouses using SQL, Python, and cloud platforms (AWS/Azure/GCP) to support business analytics and data-driven decisions.
Designs and builds data pipelines, warehouses, and analytics systems using Python, Spark, and cloud platforms like Databricks or Snowflake.
Designs and builds scalable data pipelines on Azure and Databricks to integrate and transform enterprise data for analytics and reporting.
Builds and maintains Microsoft BI solutions using Azure Synapse, Power BI, and SSAS for clients, focusing on ETL, data modeling, and visualization.
Builds data pipelines, dashboards, and AI automation for Australia’s Consumer Data Right (CDR) program using SQL, Power BI, Python, and Azure.
Build and optimize Azure Databricks/Spark pipelines and ETL frameworks to ingest, transform, and load enterprise data into scalable Azure data lakes and warehouses.
Builds data pipelines, dashboards, and AI-driven automation for Australia’s Consumer Data Right initiative, using SQL, Power BI, Python, and Azure.
Build and maintain ETL/ELT pipelines using PySpark and Azure Data Factory to process large-scale data operations.
Build and modernise client data pipelines using Microsoft/Azure tech, then deliver analytics tools that turn raw data into business insights across industries.
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