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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.
Designs and maintains ETL pipelines using Python and Azure Synapse Analytics to ensure data quality for clients.
Build and maintain ETL pipelines using PySpark and Azure Synapse Analytics to move and transform data for accurate reporting and analytics.
Builds and maintains ETL pipelines using PySpark and Azure Synapse Analytics to ensure reliable data availability for analytics and reporting.
Designs and builds ETL pipelines in Azure Synapse using PySpark to move and transform data for analytics and reporting.
Designs and builds ETL pipelines with Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Designs and maintains PySpark-based ETL pipelines on Azure Synapse Analytics for consultancy clients, ensuring scalable data flows and data quality.
QA engineer who designs and automates tests for Databricks data pipelines and cloud migrations on AWS/Azure, validating data accuracy and ETL logic.
Build and maintain an enterprise data platform using PySpark, Azure Synapse, and Power BI to integrate, model, and visualize data for business stakeholders.
Build and optimize cloud-native data pipelines and warehouses on AWS using Python, ETL/ELT tools, and modern data stacks for analytics and ML workloads.
Build and maintain ETL pipelines using Python and Azure Synapse Analytics for data warehousing and quality checks, with occasional Power BI reporting.
Designs and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics.
Designs and maintains ETL pipelines using PySpark and Azure Synapse Analytics to integrate and process data for business insights.
Designs and builds ETL pipelines using PySpark and Azure Synapse Analytics to move and transform data for analytics and reporting.
Build and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to process and transform data for clients.
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