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Design and advise on Microsoft-based Data & AI solutions, guiding customers through analytics, AI, and data-platform modernization using Azure, Fabric, and Power BI.
Design and deploy end-to-end data analytics solutions using Azure and Microsoft Fabric, building modern data platforms, ETL pipelines, and Power BI reports for enterprise clients.
Design and deploy end-to-end data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, warehouses, and Power BI reports for clients in finance, healthcare, mobility, and climate sectors.
Lead a team to build and maintain Phoenix Medical Supplies' data platform using Microsoft Fabric, modernizing their data estate and enabling analytics and insights.
Designs enterprise data architecture, builds Common Data Models in Microsoft Fabric, and integrates Azure/SQL Server systems to unify customer and property data for a large data-transformation programme.
Owns data-centric product requirements for a healthcare tech platform, turning business needs into SQL-backed specs, acceptance criteria, and delivery plans while collaborating with engineering, QA, and stakeholders.
Build and maintain cloud data pipelines and BI reports for EY’s global consulting teams using Azure, Databricks, Snowflake, and Python/SQL.
Build and optimize cloud data pipelines using Azure/AWS/GCP tools, then surface insights with BI platforms like Power BI or Tableau.
Principal Architect leads enterprise-scale data and AI engagements, unifying delivery across engineering, visualization, governance, and AI while maturing the practice with standards and accelerators.
Build and maintain scalable data pipelines and AI agents using Azure Databricks, Python, and SQL to power analytics and automated workflows in a modern engineering environment.
Designs enterprise data models and lakehouse architectures in Azure, focusing on scalable, performant structures like Delta Lake and Data Vault to support analytics and operational reporting.
Builds and maintains cloud-based data platforms using Microsoft Fabric and Azure services, ensuring SLA-driven reliability and incident response.
Build and deploy GenAI-enabled solutions for government clients using Microsoft Azure AI tools, Python/TypeScript, and RAG workflows while collaborating with senior stakeholders to drive measurable business impact.
Designs and builds secure, scalable cloud data pipelines and platforms using Azure/AWS/GCP, Databricks, and Spark to power analytics and AI workloads.
Design and modernize enterprise-scale data warehouses for financial institutions, focusing on Teradata and Microsoft Azure ecosystems, while ensuring regulatory compliance and governance.
Design and build modern data solutions on Microsoft Fabric and Azure, using Lakehouse, Warehouse, Notebooks, and Spark pipelines for large-scale datasets.
Build Power BI dashboards and SQL queries to turn enterprise HR data into KPIs and reports that guide business decisions.
Build end-to-end agentic AI workflows using React front-ends, C#/.NET orchestration, and Azure OpenAI, shipping resilient multi-agent systems with rigorous evaluations.
Builds and maintains automated data pipelines and SQL-based reports that integrate clinical research, healthcare, and financial systems to support Yale’s operational analytics and reporting needs.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and…
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