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Build and optimize scalable data pipelines using Databricks, Spark, and Azure to power AI/ML solutions for global enterprises across aerospace, energy, and automotive sectors.
Design and build scalable AWS-based data pipelines using PySpark and AWS Glue, then monitor and optimize them for performance and reliability.
Builds and optimizes Databricks/Spark pipelines and Delta Lake models to power BI dashboards and ML workloads for a global brewer’s data ecosystem.
Build and automate predictive models, ETL pipelines, and monitoring systems using Python, Databricks, and Azure to power AI-driven marketing analytics and campaign optimization.
Senior Data Engineer builds scalable data pipelines and AI tools using Databricks, PySpark, and Azure Data Factory to process batch and streaming data.
Designs and builds scalable AWS-based data pipelines using PySpark and AWS Glue to process and transform business data into reliable cloud architectures.
Senior Data Engineer builds and maintains cloud-based data platforms using Azure/AWS, SQL, Python, and PySpark to enable data-driven decisions for global clients.
Senior Data Engineer builds cloud-based data platforms (Azure/AWS) using SQL, Python, PySpark, and modern warehousing tools to enable data-driven decisions for global clients.
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Design and maintain scalable data pipelines for a global BI platform using SQL, Databricks, PySpark, and Azure Data Platform.
Builds and maintains dentsu’s Google Cloud-based data platform, writing Python pipelines in Airflow, integrating marketing and semi-structured data, and modeling in BigQuery for analytics and reporting.
Build and migrate AML data pipelines using PySpark and Databricks, centralizing data from multiple sources into a gold-layer warehouse and integrating batch and API feeds.
Build and maintain Databricks pipelines on Azure to process structured and unstructured data, enabling business insights with PySpark, SQL, and cloud automation.
Design and implement Microsoft Fabric and Azure-based data pipelines, ETL/ELT processes, and AI-driven analytics solutions for enterprise clients.
Build and optimize Azure Data Factory/Synapse pipelines and Microsoft Fabric solutions, integrating AI-powered analytics and Power BI models to deliver business insights for clients.
Build and maintain a modern data warehouse using Microsoft Fabric, process data with Python/PySpark and T-SQL, and collaborate with PowerBI teams and business users.
Senior Data Engineer builds and maintains cloud-based ETL pipelines and data architectures using Python, Spark, and cloud platforms to power analytics and ML for global clients.
Design and build large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring secure, scalable data processing for downstream systems and reports.
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