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Builds and maintains metadata-driven data pipelines in Azure Data Factory and Databricks, migrating large historical datasets to Cloudera Cloud with reconciliation and audit processes.
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.
Design and maintain secure CI/CD pipelines for an Azure-based data platform using Databricks, Azure Data Factory, and Informatica IDMC, ensuring audit compliance and DevSecOps controls.
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 maintain Azure data pipelines, manage Data Lake storage, and integrate Power BI reports for business intelligence solutions.
Builds and maintains Azure-based data pipelines, manages data in Azure Data Lake, and integrates with Power BI for reporting and BI solutions.
Build and optimize cloud-native data pipelines on Azure, migrating and transforming data for analytics and ML workloads using Spark, Databricks, and Azure Synapse.
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI in a modern Lakehouse architecture.
Design and build data platforms in Azure and on-premises, integrating data pipelines for clients in automotive, life sciences, finance, or manufacturing using SQL, Python, and DevOps.
Design and build data platforms in Azure and on-premises, integrating data for clients in mobility, healthcare, finance, or manufacturing using SQL, Python, and DevOps.
Build and maintain scalable Azure Databricks data pipelines and analytics for HR tech, using Spark, SQL and Azure services to automate employee lifecycle data flows.
Lead Python Developer building scalable data platforms and reporting tools for an ETF-focused fintech, using PostgreSQL, Azure Data Factory, and Power BI.
Design and lead enterprise-scale data platforms and AI solutions on Azure, guiding clients from discovery to proposal while owning end-to-end architecture and pre-sales engagements.
Responsibilities Build, maintain, and optimize ETL/ELT workflows and data integration processes. Develop scalable data architectures on cloud platforms (Azure, AWS, GCP). Ensure data reliability, performance, and high…
Design and maintain scalable data pipelines and ETL processes using Spark, Kafka, and Airflow, and optimize data storage in cloud warehouses and lakes to support analytics and ML initiatives.
Senior Solutions Engineer partners with SI firms to architect and demo Snowflake-based data pipelines and solutions, leveraging PySpark, SQL, and cloud tooling to enable joint customer engagements.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Design and build an enterprise data platform optimized for AI workloads using Microsoft Fabric and Azure Data Factory.
Design and build data pipelines and warehouses using Microsoft Fabric, Azure Synapse, and Power BI for enterprise clients, ensuring performance, governance, and security.
Design and build an enterprise-scale data platform to power AI workloads, real-time pipelines, and governed data products using Microsoft Fabric, Databricks, and Azure tooling.
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