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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 maintain Azure-based data pipelines for a large Australian insurer using Synapse, PySpark, Data Factory, and Data Lake Gen2.
What do you think of when you hear the name MNP? Most likely tax and accounting, but as one of Canada’s largest consulting organizations, we’re so much more! We’re also serious about technology. Make an impact with MNP…
Build and maintain Azure-based data pipelines using PySpark, Synapse, and Azure DevOps to ingest, transform, and orchestrate data for analytics and reporting.
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Build and maintain Azure-based data pipelines using PySpark, Synapse, and Power BI, focusing on ingestion, transformation, and visualization with row-level security.
Principal Software Engineer at Microsoft leading architecture, coding, and mentorship for Azure Data's cloud-native analytics platform, including Fabric, SQL DB, and Cosmos DB.
Provides technical support and troubleshooting for Azure-based data platforms like Synapse and SQL, assisting clients with maintenance and issue resolution.
Design and build modern data analytics, Big Data, and data-warehouse solutions in AWS, GCP, or Azure, including ETL/ELT pipelines and governance using Databricks, Snowflake, and Spark.
Build and optimize cloud-native data pipelines on Azure, migrating and transforming data for analytics and ML workloads using Spark, Databricks, and Azure Synapse.
Build and maintain scalable data pipelines and cloud data warehouses (Snowflake/AWS Redshift/Azure Synapse) to power AI-driven healthcare analytics in Saudi Arabia, integrating HL7/FHIR clinical data.
Design and maintain scalable data pipelines and cloud data warehouses to power AI-driven healthcare solutions in Saudi Arabia, integrating clinical and claims data using HL7/FHIR standards.
Build and maintain scalable data pipelines and cloud data warehouses (Snowflake/AWS Redshift) to power AI-driven healthcare analytics in Saudi Arabia, integrating clinical and claims data via HL7/FHIR.
Designs and builds ETL pipelines using PySpark and Azure Synapse Analytics to integrate and deliver clean analytical data for downstream teams.
Designs and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to feed data for analytics and decision-making.
Designs and maintains ETL pipelines using PySpark in Azure Synapse, builds star-schema data warehouses, and ensures data quality from APIs, SQL, and CSV sources.
Build and maintain enterprise-scale data pipelines using Azure Synapse and Databricks, integrating large datasets and supporting Power BI reporting.
Design and build data pipelines and warehouses using Microsoft Fabric, Azure Synapse, and Power BI for enterprise clients, ensuring performance, governance, and security.
Build and maintain Python-based data pipelines, REST APIs, and automation tools to process, clean, and expose data for analytics and internal tools.
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