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Build and maintain scalable data pipelines on Databricks and Azure to ingest POS, transactional, and operational data, enabling reliable reporting and analytics for a large Canadian restaurant group.
Designs and maintains secure, scalable data pipelines on Azure to ingest and transform regulatory data into analytics-ready datasets for compliance and decision-making.
Build and maintain modern data pipelines and cloud-based analytics solutions using Azure services, SQL, and Python for AI-driven projects.
Builds secure, scalable Azure data pipelines and platforms for government analytics, using Databricks, Synapse, and Python to ensure trusted, compliant data access.
Build and maintain PineStone’s data pipelines and warehouse in Snowflake using dbt and Matillion to feed investment analytics, reporting, and AI-driven workflows.
Build and maintain Azure-based data pipelines, warehouses, and analytics using Databricks, Data Factory, and Power BI to modernize enterprise data solutions.
Build and maintain Azure Synapse-based data pipelines, integrate third-party systems, and design optimized data models for analytics and reporting.
Design and maintain scalable data pipelines using Snowflake, Databricks, Python, and SQL to build ETL/ELT solutions and cloud-native analytics platforms for enterprise reporting.
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Build and maintain data pipelines in Snowflake, SQL Server, and PostgreSQL to feed analytics and reporting for an insurer’s underwriting, claims, and policy systems.
Design and maintain scalable data pipelines and ETL/ELT processes using Azure tools to enable analytics and reporting for a government-run cannabis retailer.
Build and maintain scalable data pipelines using Snowflake, Prefect, and Python to support AI-driven investment strategies for institutional clients.
Lead the rebuild of Orca’s freight-audit data platform using Azure SQL, Fabric, and Data Factory to modernize pipelines and automate reporting for North American clients.
Builds and maintains ETL/ELT pipelines on Azure Databricks using PySpark and Azure Data Factory, integrating relational and cloud data sources.
Build and maintain ETL pipelines for an automotive client using Azure Data Factory, Databricks, and SQL; write Python/Scala/Java code and collaborate in Agile teams.
Senior Data Engineer designs and maintains Azure-based ETL pipelines using Data Factory, Databricks, and SQL, ensuring efficient cloud data workflows.
Design and build scalable Azure Databricks-based data pipelines and lakehouse architectures using Spark and Azure Data Factory to power analytics and reporting.
Designs and builds cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI, integrating with SQL Server and Azure Data Factory.
Build and maintain scalable data pipelines on Azure using Databricks, ADF, and PySpark to process and transform enterprise datasets.
Build and maintain Azure-based data pipelines and analytics solutions using Microsoft Fabric, Azure Data Lake, and Azure Data Factory.
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