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Designs and governs enterprise-wide data architecture, canonical models, and cross-system integrations for ERP, CRM, and HRIS to ensure data integrity and analytics readiness.
Lead enterprise integration and data engineering for a neuroscience biopharma, designing secure, compliant data flows between ERP, CRM, clinical systems, and analytics platforms.
Designs and enforces data governance policies, manages master data, and ensures compliance with standards for secure, high-quality data across teams.
Leads design and delivery of cloud-based data platforms using AWS services like Redshift, Glue, and PySpark, ensuring scalable, secure data solutions for analytics and governance.
Lead the design and delivery of a scalable enterprise data platform, building ETL/ELT pipelines and enabling analytics and AI across cloud and hybrid environments.
Designs and maintains data pipelines and systems using SQL, Spark, Python, and Azure tools to process and analyze raw data for business insights.
Maintains and modernizes data architecture (SQL Server, Power BI, SSRS), builds ETL pipelines, models data, and supports dashboards for global clients.
Build and scale the backend of a maritime marketplace using Node.js, microservices, and cloud platforms to automate ship supply orders and improve buyer intelligence.
Design and build enterprise-scale data solutions on Azure for a global MedTech company, focusing on data warehousing, integrations, and cloud pipelines to support data-driven healthcare decisions.
Lead the design and implementation of enterprise-scale data platforms (data warehouses, lakes, and analytics) using SQL, Python, and cloud tools, while mentoring a team and setting technical standards.
Leads the vision and delivery of APAC’s data and metadata architecture, ensuring trusted, governed data flows across systems to enable AI-driven insights and digital transformation for a medical technology company.
Lead a team to design and build scalable data platforms using Microsoft Fabric, Databricks, and Azure, enabling enterprise analytics and governance.
Lead the design and build of enterprise-scale data platforms using cloud tools (AWS/Azure), SQL, Python, Spark, and orchestration (Airflow) to deliver reliable, analytics-ready data for BI, AI, and reporting.
Lead the design and delivery of enterprise-scale data platforms, building scalable ETL/ELT pipelines and cloud-native warehouses to power analytics, BI, and AI across the business.
Designs and implements cloud-native data architectures for an insurance-focused company using Azure services like Synapse, Databricks, and Power BI to enable analytics, automation, and regulatory compliance.
Builds and leads a full-stack team using .NET 8, Angular 18, and SQL Server to deliver a commercial insurance platform, with RabbitMQ, Azure DevOps, and CQRS patterns.
Designs enterprise-scale AI and data platforms, including RAG systems and cloud-native architectures, while establishing governance frameworks and vendor-agnostic standards for secure, scalable AI solutions.
Architect and build core data platform services for enterprise Master Data Management, creating APIs and integration frameworks to establish trusted identities and golden records at WEX.
Lead SAP Business Objects data engineer building BO Universes, WebI reports, and dashboards for a federal government client, while driving data governance and master data management.
Lead SAP Business Objects Data Engineer designs, builds, and maintains reporting solutions and data engineering pipelines for a federal government client using SAP BusinessObjects, WebI, and dashboards.
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