Data Analytics Engineer

Candidate Description

A versatile data and analytics engineer with over three years of experience, this professional excels at building cloud-native data platforms that turn raw information into strategic insights. Their expertise spans Power BI, Snowflake, Azure, AWS and Databricks, allowing them to craft high-performance pipelines and intuitive dashboards for organisations such as a Heavy Equipment Manufacturer and a Utilities Provider. Adept at dimensional modelling and statistical analysis, they bring a strong engineering mindset and a passion for data-driven decision-making.

Proficiency is evidenced through hands-on delivery of automated SSIS restoration jobs, Snowpark and PySpark pipelines and centralised Power BI semantic models that ensure consistent KPIs across the enterprise. They have implemented CI/CD practices with Azure DevOps, optimised complex DAX calculations and created Python-powered log-scraping tools for real-time server-uptime monitoring. These initiatives have reduced manual effort, halved recovery times and enhanced predictive maintenance strategies for mining operations.

Combining technical depth with clear communication, they collaborate effectively with stakeholders at all levels, mentor junior staff and uphold industry best practices. Their background across manufacturing, utilities, energy and telecommunications demonstrates adaptability and a commitment to continuous improvement. Organisations benefit from their ability to translate complex requirements into scalable, secure and maintainable data solutions that drive operational excellence.