Cloud Engineer

Candidate Description

A versatile Cloud Data Engineer with over seven years of experience delivering enterprise-grade data platforms and analytics solutions across consulting, manufacturing, financial services, and telecommunications domains. They bring deep expertise in Microsoft Azure, leveraging services such as Azure Data Factory, Databricks, Synapse Analytics, ADLS Gen2, and Power BI, complemented by strong open-source skills in Spark, Hadoop, Kafka and Airflow. Equipped with proven analytical acumen and a commitment to best-practice engineering, this professional excels at designing robust data pipelines and optimising large-scale distributed systems.

Their technical breadth spans end-to-end ELT architecture, real-time streaming, data lakehouse modelling and visualisation. Adept at PySpark, Scala and SQL, they have engineered cost-efficient pipelines, automated cluster management, and produced rich reporting layers for a Major Computer Company, a Financial Services Company and a Telecommunications Company projects. Achievements include building hourly IoT ingestion frameworks, delivering JSON-based ARM deployments, and reducing compute expenditure through intelligent autoscaling. Experience with Agile, Scrum and CI/CD tooling underpins consistent, high-quality delivery.

Beyond hands-on development, they demonstrate leadership through mentoring teammates, driving requirement workshops, and coordinating with cross-functional stakeholders to translate complex business needs into scalable data solutions. Their adaptability across diverse industries, proactive problem-solving, and focus on performance tuning position them as a valuable asset for organisations seeking to maximise the potential of cloud and big-data technologies.