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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 own the data platform for an AI-powered SaaS finance product, designing Snowflake pipelines, Power BI analytics, and AI-driven development workflows to deliver trusted insights for enterprise customers.
Senior Data Engineer builds and optimizes Azure-based ETL pipelines, data warehouses, and BI reports using SQL, Azure Synapse, and Power BI to deliver clean, governed data for analytics.
Builds and maintains scalable data pipelines using PySpark, Databricks, and Azure to process and transform data for reliable business insights.
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Azure Data Factory, Databricks, and SQL Server, ensuring high-quality financial data for decision-making.
Senior Data Engineer builds and evolves a scalable enterprise Lakehouse platform using Python, PySpark, Databricks, and Azure services to power analytics and AI workloads.
Build and maintain Azure Data Factory pipelines, orchestrate ETL/ELT workflows, and support Azure SQL/Synapse data warehouses for enterprise clients.
Build and maintain data pipelines using Azure, Databricks, and PySpark, collaborating with stakeholders to deliver clean, scalable data solutions in an Agile environment.
Builds and maintains scalable data pipelines for an automotive sales client using Azure Databricks, Python, and Synapse/IICS to support business processes and integrations.
Designs and maintains scalable data pipelines and BI solutions using Azure Synapse, Databricks, and PySpark to turn raw data into actionable insights for DSV’s global operations.
Lead a team of data engineers to build and maintain scalable Azure-based data pipelines and ETL processes using Databricks, PySpark, and SQL, while mentoring engineers and driving DataOps best practices.
Senior Data Engineer builds scalable data pipelines in Databricks and PySpark, refactors legacy SQL logic, and designs Medallion architecture for a large insurance client’s cloud migration.
Build and maintain Azure + Databricks pipelines that ingest, transform, and deliver trusted datasets for an automotive application using PySpark, Spark SQL, and Azure Data Factory.
Designs and builds scalable Azure Databricks Lakehouse pipelines using Spark and Azure Data Factory to power analytics and ensure data quality.
Builds and maintains Azure-based data pipelines and integrations using Databricks, DevOps, and Data Factory to support analytics and reporting.
Build and maintain scalable data pipelines and platforms using Azure, Databricks, PySpark, and Python to enable analytics and AI workloads.
Designs and builds scalable data pipelines on Databricks and Azure, using Python/PySpark and Azure Data Factory to integrate and process large datasets.
Build and maintain Azure-based data pipelines and analytics infrastructure using Databricks, DevOps, and Python to support business decision-making.
Build and deploy generative AI models (LLMs, RAG, prompt engineering) on Azure to solve financial-services problems like health analytics and operations modernization.
Build and maintain AI-powered data pipelines, GenAI features, and full-stack apps for an Italian enterprise client using Python, cloud services, and modern JS frameworks.
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