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Build AI-enabled use cases and standardize BI datasets using Azure OpenAI, Fabric, and Salesforce to drive business value.
Build and maintain data pipelines and Power BI reports using Microsoft Fabric and Azure services to deliver analytics and reporting solutions.
Builds scalable data pipelines and Power BI dashboards using Microsoft Fabric to deliver analytics and insights for clients.
Data Engineer to migrate audit data from a legacy platform to Microsoft Fabric using CDC, ensuring accuracy and audit-readiness.
Build and maintain scalable data pipelines on GCP (BigQuery, Dataflow) to power analytics and decision-making for a fintech brokerage.
Build and optimize AWS-based data pipelines and ML workflows using SageMaker, Kinesis, Glue, and Redshift, ensuring low-latency real-time and batch processing with Python and AWS services.
Lead Data Engineer builds and optimizes scalable ETL pipelines and Teradata data models for a large Australian government agency’s cloud data platform.
Lead a small team to design and maintain scalable data pipelines and warehouses using Azure Databricks, dbt, and Kimball dimensional modelling to support analytics and AI initiatives.
Build and maintain scalable data pipelines on Databricks to power analytics, reporting, and marketing for Velocity Frequent Flyer’s loyalty program.
Build and maintain data pipelines and cloud integrations for a national homebuilder, using Boomi, SSIS, Snowflake and Microsoft Fabric to deliver reliable analytics.
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow, and streaming tech to process high-volume data for analytics and warehousing.
Builds and maintains scalable data pipelines using PySpark and Azure Data Factory to process and transform large datasets for analytics and reporting.
Lead the design and modernization of a cloud-native data platform for Product Control, migrating legacy SQL Server systems to AWS-native services like Aurora PostgreSQL and Redshift while driving automation and AI-enabled engineering practices.
Senior Data Engineer builds and optimizes large-scale data pipelines on GCP, focusing on BigQuery, Dataflow, and real-time processing to support analytics and reporting.
Build and maintain scalable data pipelines and ETL workflows for a travel platform, enabling reliable analytics and AI-driven insights.
Design and build scalable data pipelines using Microsoft Fabric, Python, and Azure Synapse for analytics and reporting across finance, government, and other sectors.
Build and run a data-migration pipeline that moves audit tables from a legacy system into Microsoft Fabric, ensuring accuracy and audit-readiness.
Designs and builds cloud data pipelines, warehouses, and ML/AI integrations for clients using Python, SQL, and cloud platforms like Snowflake or Databricks.
Lead the design and maintenance of a data lake and warehouse, ingesting structured/unstructured data, and mentoring a team of data engineers using Azure Data Factory, Databricks, and Python.
Build and maintain data pipelines and BI solutions to support health outcomes and data-driven decisions using Power BI and cloud data tools.
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