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Build and maintain scalable cloud data pipelines in Azure, transforming raw data into insights using PySpark, Databricks, Fabric, and Snowflake for clients in healthcare, retail, energy, and government.
Build and maintain a scalable data platform using Azure, PySpark, Delta Lake, and Microsoft Fabric to power analytics and decision-making across the organization.
Build and maintain Azure Databricks and Microsoft Fabric data pipelines, ETL/ELT processes, and Lakehouse architectures to deliver reliable data for analytics and reporting.
Builds scalable cloud data pipelines and AI-ready platforms using Python, PySpark, DBT, and SQL, transforming raw data into insights for customers and internal products.
Design and build scalable data platforms using Microsoft Azure, Fabric, and Power BI to deliver analytics and insights for clients.
Builds scalable data pipelines and cloud-based analytics solutions using Databricks, Snowflake, and Microsoft Fabric to deliver business value.
Build and maintain CI/CD pipelines and cloud infrastructure using Azure DevOps, GitLab, Terraform, and PowerShell while collaborating with a cross-functional Scrum team.
Senior Data Engineer builds and optimizes Azure Databricks pipelines for banking analytics and AI using PySpark, Delta Lake, and cloud-native tools.
Build and maintain cloud-based data pipelines using Microsoft Fabric, Azure, Python, and SQL to support analytics and reporting for a modern data platform.
Design and operate a modern cloud-based data platform using Microsoft Fabric, Azure, Python, and Power BI, collaborating with analysts and architects to deliver reliable data products.
Build and maintain data pipelines, models, and dashboards in Microsoft Fabric to migrate and modernize a data warehouse, turning raw data into actionable business insights.
Builds and maintains ETL pipelines, data models, and dashboards in Microsoft Fabric to migrate and modernize a company’s data warehouse and deliver business insights.
Build and maintain cloud-based data pipelines and reporting environments for city services, modeling data to extract predictive insights using tools like Microsoft Fabric, Spark, and Python.
Designs and optimizes data warehouse solutions using Microsoft Fabric, builds ETL pipelines, and translates business needs into technical data solutions in an international setting.
Build and maintain cloud-based data platforms and AI solutions, integrating heterogeneous data sources to enable advanced analytics, Generative AI, and machine-learning use cases for supply-chain and industrial clients.
Builds and maintains ETL/ELT pipelines and distributed data architectures using PySpark, SQL, and Azure services to modernize a company’s data stack.
Design and build real-time data pipelines and ML models on Microsoft Fabric to analyze shipping logistics data, using Python, PySpark, and Azure services.
Design and build distributed data pipelines and modern data platforms (Microsoft Fabric/Databricks) to integrate and model data for analytics and reporting.
Builds and maintains data pipelines and Lakehouse/Warehouse architectures using Microsoft Fabric for analytics solutions.
Designs and builds data pipelines and analytics solutions using Microsoft Fabric and Azure for Lutech’s Data Analytics practice.
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