Azure Data Engineer

Candidate Description

A versatile Data Engineer with more than five years of experience, this professional excels at designing and delivering modern cloud data platforms on Microsoft Azure. Having navigated consulting environments such as a Technology Company, a Consulting Firm, a Consulting Company and a Technology Provider, they bring deep expertise in Databricks-powered Lakehouse architectures, large-scale ingestion frameworks and analytics-ready data models that span operational, finance, ERP, HR and cyber-security domains. Their foundational strengths include strong analytical thinking, stakeholder engagement and a passion for building trusted, high-performance datasets that underpin strategic business reporting.

Demonstrated technical acumen is evident through mastery of Azure Data Factory orchestration, PySpark and Spark SQL transformations, Delta Lake optimisation and enterprise-grade DevOps pipelines in Azure DevOps. They have engineered metadata-driven ingestion patterns, automated monitoring with Python and REST APIs, and crafted Power BI reporting layers that accelerate decision-making. Significant accomplishments include streamlining dataset onboarding for a Technology Company, improving financial modelling accuracy with a Consulting Firm and automating ETL monitoring frameworks that reduced manual effort at a Consulting Company.

Coupling hands-on development skills with mentoring and collaboration, this individual adds value as a proactive team player who improves processes, guides junior engineers and partners effectively with cross-functional stakeholders. Their adaptability across diverse technology stacks—from full-stack web development to advanced cloud data engineering—positions them as a key contributor for organisations seeking to modernise analytics capabilities, embed DevOps best practices and realise tangible business outcomes from their data investments.