Azure Data Engineer Associate DP-203

As a Microsoft Certified: Azure Data Engineer Associate, I have demonstrated my capability to implement and manage data engineering workloads on Microsoft Azure. I possess subject matter expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems into suitable schemas for building robust analytics solutions. My skills include helping stakeholders understand data through exploration and building and maintaining secure and compliant data processing pipelines using a variety of tools and techniques.

I utilize various Azure data services and frameworks to store and produce cleansed and enhanced datasets essential for analysis. I can design these data stores based on diverse business requirements, incorporating architectural patterns such as modern data warehouses (MDW), big data solutions, and lakehouse architectures. Furthermore, I focus on ensuring that the operationalization of data pipelines and data stores is high-performing, efficient, organized, and reliable, aligning with specific business needs and constraints. This includes identifying and troubleshooting operational and data quality issues, as well as designing, implementing, monitoring, and optimizing data platforms.

My technical foundation includes a solid knowledge of data processing languages like SQL, Python, and Scala, coupled with an understanding of parallel processing and data architecture patterns. I am proficient in using key Azure services to create data processing solutions, including Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, and Azure Databricks.