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Build and maintain scalable data pipelines, cloud data platforms, and analytics-ready datasets for a global food-industry project using ETL/ELT, Snowflake/Azure/AWS, and BI tools.
Build and automate data infrastructure using IaC (Terraform/Bicep) and CI/CD pipelines (Azure DevOps/GitHub Actions) to ensure reliable, scalable, and secure data platforms.
Build and maintain scalable data pipelines, lakes, and warehouses in Azure, using Python, SQL, and IaC to enable analytics and reporting for clients.
Build and maintain scalable Azure-based data pipelines and analytics platforms using Synapse, integrating diverse data sources for a UK client.
Designs, builds, and optimizes BI reports and data models in Microsoft Dynamics 365 Finance & Operations using Power BI, SQL, and Azure Synapse/Fabric for enterprise clients.
Designs data models, writes SQL, and architects data warehouses for large-scale analytics, using ETL, big data platforms, and visualization tools.
Design and build cloud-native data solutions on Azure Synapse Analytics, including monitoring, security, and performance tuning for data warehouses and lakes.
Design and build scalable data pipelines and architectures using Azure, Microsoft Fabric, and Python to enable analytics and reporting for enterprise clients.
Build and modernise cloud-native data platforms and pipelines for clients, using Python, SQL, and tools like Azure/AWS/GCP and Databricks.
Build and optimize cloud-native data platforms and pipelines for clients using Python, SQL, and tools like Azure Data Factory, Databricks, and Snowflake.
Senior Data Engineer responsible for conceptualizing data solutions, modernizing data environments, and building data pipelines using technologies like Microsoft Azure, Power BI, Python, and Fabric/Databricks. Works with clients and cross-functional teams to deliver actionable insights and optimize data infrastructure.
Manages, optimizes, and secures SQL Server, Azure SQL, and Cosmos DB databases to support BI and enterprise apps, ensuring high availability, performance, and data integrity for an airline.
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Build and maintain Azure-based data pipelines and analytics-ready datasets for Alberta’s environmental regulatory platform, using Databricks, Synapse, and Python to support compliance and decision-making.
Senior Data Engineer leads DB2-to-Azure SQL migrations, builds ETL/ELT pipelines, and ensures data quality for a cloud-based platform.
Principal Engineer leading the design and implementation of HTX’s AI Data Platform, building scalable pipelines and governance to fuel AI models for Singapore’s Home Team.
Build and maintain ETL pipelines, optimize databases, and design data warehouses to support BI and analytics for a retail company.
Builds and maintains scalable data pipelines and a cloud-based lakehouse using Python, SQL, and Microsoft Fabric to integrate CRM/ERP data for analytics and reporting.
Design and build enterprise-scale data pipelines and warehouses, transforming raw data into clean, standardized formats for analytics and reporting using Azure, SQL, Python, and Databricks.
Leads data integration/migration projects for modern platforms, focusing on ETL/ELT pipelines and data quality in mission-critical environments, with expertise in AS400, COBOL, SSIS, Azure Data Factory, and SQL/Oracle.
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