Azure Data Engineer

Candidate Description

With over three years driving modern data solutions as an Azure Data Engineer, this professional demonstrates deep expertise across Microsoft Azure, big data processing, and data warehousing. Adept at crafting scalable ETL pipelines and optimising complex analytics workloads, they excel in translating business requirements into robust cloud architectures. Their background spans higher-degree studies in networks and cyber security and hands-on delivery for organisations such as a Technology Company and a Technology Provider.

Proficiency extends across Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, and dedicated SQL pools, complemented by strong skills in PySpark, Spark SQL, and stored-procedure-driven warehousing. Notable achievements include a five-fold performance uplift of data-processing notebooks and the successful migration of complete on-premise data estates to Azure, enabled through effective Change Data Capture strategies and advanced scripting. Experienced in end-to-end SDLC practices, they ensure performance, reliability, and maintainability in every solution.

Beyond technical delivery, this individual brings a collaborative mindset, mentoring junior colleagues and working closely with cross-functional teams to align data initiatives with organisational objectives. Their blend of analytical problem-solving, customer-centric communication, and cyber-security awareness positions them as a valuable asset for enterprises seeking to unlock cloud-native analytics and drive data-driven decision-making.