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Build and maintain secure, scalable data pipelines and analytics platforms in Azure for a federal healthcare project, using Python, Spark, SQL, and Power BI.
Design and build scalable Azure-based data pipelines and ETL/ELT workflows to power real-time AI systems and enterprise analytics.
Design and lead the migration of legacy IBM DB2/mainframe Java apps to Azure using microservices, Kubernetes, and Terraform, while setting cloud-native standards and AI-driven modernization practices.
Designs and governs scalable data architectures on Azure, migrating legacy systems to modern cloud platforms and enabling AI-driven analytics for public-sector clients.
Build and maintain scalable data pipelines and AI/ML platforms for a global biopharma company, integrating models into production and ensuring data reliability and governance.
Build and maintain GM’s global sales reporting hub on Databricks, unifying vehicle sales data into interactive dashboards and AI-driven insights to track the funnel from customer traffic to delivery.
Build and maintain scalable ETL/ELT pipelines in Azure for life-sciences data, using Databricks, PySpark, and Data Factory to support regulated clinical and commercial analytics.
Build and maintain scalable Azure-based data pipelines and ETL processes using Data Factory, Databricks, and Python to power AI and analytics solutions for global enterprises.
Lead a team to build and optimize Power BI dashboards and reports, using DAX, Azure stack, and Power Platform to deliver data-driven insights for a global CPG company.
Designs and builds scalable, secure data pipelines and cloud data warehouses for healthcare analytics, ETL/ELT, and AI/ML workloads using Python, SQL, dbt, Airflow, and cloud platforms like Azure/AWS/GCP.
Designs and implements enterprise data architecture for a large healthcare system, ensuring secure, interoperable data pipelines and models that support analytics, reporting, and AI-driven patient care improvements.
Builds and maintains Azure-based data pipelines and cloud infrastructure to ingest, transform, and deliver business-ready datasets for analytics and reporting.
Build and optimize ETL/ELT pipelines and data models for enterprise clients, using Python, SQL, Spark, and Azure to stabilize reporting and improve data quality across finance, procurement, and workforce systems.
Build and maintain secure, high-performance back-end systems for a global financial services provider using Azure, Databricks, PySpark, and SQL Server.
KPMG IT Service OOD is an IT service provider with a mission to digitalize the core business of KPMG IT Service GmbH and KPMG AG in Germany and their clients across the globe. We employ more than 200 people in Sofia…
Senior Business Analyst to bridge business and technical teams, defining CRM, BI, and data requirements using Dynamics 365, Power BI, and Agile practices.
About Flyover Attractions Flyover is an award-winning immersive flying theatre experience that transports guests through the planet’s most epic places. The attraction utilizes flight motion seats engineered to swoop,…
Build and maintain cloud data pipelines and warehouses using Microsoft Fabric, Azure Synapse, and Power BI to support analytics and reporting for an electronics distributor.
Principal engineer leading architecture and development of a globally distributed AI and data platform for Microsoft’s real-time communication services, using Azure, Kubernetes, and open-source tools.
Design and own a cloud-scale data platform on Microsoft Fabric, building ETL pipelines, semantic layers, and AI-ready datasets for enterprise knowledge and retrieval.
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