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Lead hands-on ETL and data-migration projects, designing pipelines, writing SQL/Python, and guiding clients through legacy-to-target migrations until go-live.
Design and maintain Azure-based data pipelines for a Microsoft Fabric-powered lakehouse, integrating utility and IoT data for analytics and reporting.
Senior Data Engineer designs and optimizes Azure Synapse data pipelines, builds star schemas, and tunes SQL pools for analytics workloads using Azure Data Factory and Databricks.
Lead the design and optimization of scalable Azure data pipelines using Databricks, PySpark, and ADF, while mentoring engineers and collaborating with cross-functional teams.
Build and maintain cloud data pipelines and analytics platforms using Azure Synapse, PySpark, and SQL for large-scale enterprise projects.
Design and build scalable data platforms on AWS, Azure, and GCP, using cloud warehouses, Spark, Kafka, and Python/Java to enable AI-driven analytics for enterprise clients.
Build and maintain scalable ETL pipelines using Azure Data Factory, Synapse, Databricks, and Spark to process and optimize data solutions.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Designs and optimizes Azure Synapse data pipelines, builds star schemas, and monitors performance using Dynamic Management Views for analytics workloads.
Design and optimize Azure Synapse data pipelines and star schemas, tune performance, and build ingestion workflows using ADF and PolyBase for analytics workloads.
Senior Data Engineer builds and maintains scalable Azure data pipelines and products using Data Factory, Synapse, Databricks, and Fabric to support analytics and reporting.
Build and maintain scalable data pipelines and warehouse solutions using C#, .NET, Python, and Azure tools to power analytics and business intelligence.
Build and maintain data pipelines, cleanse and validate datasets, and implement ETL/ELT processes using Microsoft Azure tools for a government data governance project.
Builds and maintains Azure-based data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Spark, while ensuring data quality and performance.
Designs and maintains data pipelines and systems using SQL, Spark, Python, and Azure tools to process and analyze raw data for business insights.
Build and maintain Snowflake data pipelines that move financial data between Oracle and client warehouses, enabling ESG reporting and analytics with Row Level Security.
Build and maintain Snowflake data pipelines and warehouses that centralize fund data, automate reporting, and power client-facing analytics dashboards.
Design and build scalable Azure-based data pipelines and warehouses for external clients, using Synapse, Data Factory, and Fabric to enable analytics and ML.
Senior Azure Data Engineer designs and implements cloud data platforms, warehouses, and analytics pipelines using Azure Synapse, Data Factory, and Fabric for a 3-month contract.
Build and maintain scalable data pipelines and transformations on cloud platforms like Azure, AWS, or GCP, using tools such as Azure Data Factory or Synapse Analytics.
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