Data Engineer
Current• Architect and design end-to-end BI and Data Analytics solutions leveraging Microsoft Azure services to drive business intelligence and data-driven decision-making.• Design and build efficient data models and pipelines using Azure Data Factory, Synapse Analytics, and other Azure data services, ensuring optimal performance and scalability.• Implement technical architecture and documentation standards to establish governance, policies, processes, and procedures, ensuring compliance and consistency across projects.• Collaborate with business experts and customers to understand and translate business needs into effective reporting and data analytics solutions.• Scope, estimate, and plan tasks for assigned projects, ensuring alignment with project objectives and timelines.• Stay current with new and emerging technologies, incorporating the latest advancements into data engineering practices.• Follow project work plans to meet functionality requirements, project objectives, and deadlines, ensuring successful project delivery.• Provide accurate and comprehensive technical architectural documents, facilitating clear communication and alignment across stakeholders.• Address customer queries and issues promptly, maintaining high levels of customer satisfaction and ensuring project success.• Provide hands-on guidance and mentorship to team members, fostering skill development and knowledge sharing.• Develop Master Data Management solutions for clients, creating a Single Version of the records to ensure data consistency and integrity.Certifications:• DP-203: Data Engineering on Microsoft Azure• PL-300: Microsoft Power BI Data Analyst• DP-600: Microsoft Certified: Fabric Analytics Engineer Associate• AZ-900: Microsoft Azure Fundamentals• AI-900: Microsoft Azure AI Fundamentals• DP-900: Microsoft Azure Data Fundamentals