Senior Azure Data Architect & Engineer

Candidate Description

A highly skilled and experienced data engineer with 15 years of expertise in designing, implementing, and maintaining data pipelines. Proficient in leveraging cutting-edge technologies to optimize data storage, transformation, and analysis processes. Adept at utilizing SQL, Python, and Hadoop to extract valuable insights from large datasets. Demonstrates experience in data warehousing, ETL processes, and data modelling, ensuring data accuracy and consistency. Proven ability to collaborate with cross-functional teams to deliver data solutions that drive business success. Committed to staying current with industry trends and best practices to provide the highest quality data engineering solutions.

Throughout their career, they have executed all phases of data engineering, from design and planning to deployment and support. They have successfully migrated complex historical customer data using Azure Data Factory, integrated data pipelines with Azure Databricks and Pyspark, and leveraged Azure Synapse, Azure Fabric and Data Lake for seamless data migration. Their technical prowess extends to creating automated ETL processes, optimizing data storage and retrieval, and implementing robust data quality frameworks.

They have significantly enhanced data processing efficiency, achieving a 40% reduction in processing time through automated ETL processes. Their proactive approach to performance tuning and optimization has resulted in notable efficiency gains, particularly with tables in production containing over 3 billion records. Their expertise in Azure platforms has ensured the successful delivery of scalable, reliable, and secure data solutions.