Fabric Data Engineer

Candidate Description

A highly skilled Senior Data Engineer with over 15 years of experience delivering cloud-based data solutions, specializing in Azure Synapse, Data Factory, and Databricks. This professional brings deep expertise in data architecture, ETL development, and cloud migration, having successfully led multiple projects transforming legacy systems into modern data platforms. Their ability to design scalable and efficient data frameworks has enabled organizations to harness the power of big data and advanced analytics. With strong experience in Dynamics 365, Snowflake, and Power BI, they have a proven track record of delivering high-quality solutions that meet business needs and drive digital transformation.

As a Senior Data Engineer, they have led the design and development of data solutions for enterprise clients, focusing on cloud migration, data warehouse implementation, and data analytics. Their responsibilities include architecting data platforms using Azure services such as Synapse, ADF, and SQL and developing robust ETL pipelines to process and transform data from multiple sources. They have extensive experience in data integration, working with tools like Snowflake, Matillion, and Databricks to build modern data lakes and warehouses. Additionally, they have provided technical leadership to teams, ensuring best practices are followed and projects are delivered on time.

This professional has consistently delivered successful data transformation projects, including implementing a cloud-based data platform for a leading organization. By leveraging Azure Synapse and Delta Lake, they created a scalable framework that streamlined data ingestion from Dynamics 365 and other sources, significantly improving reporting capabilities. They also led migrating on-premise data systems to the cloud, ensuring data integrity and seamless integration with existing applications. Their expertise in Power BI has enabled clients to visualize critical business data in real time, further enhancing decision-making processes. Their contributions have been recognized for improving operational efficiency and delivering measurable business value.