Data Engineer

Candidate Description

A versatile data engineer with more than three years of experience, this professional excels at designing and delivering cloud-native data platforms across Azure and AWS environments. Adept at constructing enterprise-scale data pipelines, they demonstrate deep expertise in Databricks, Azure Synapse Analytics and automated ETL frameworks, contributing to successful outcomes for organisations such as a Technology Provider, a Technology Company and a Technology Services Firm.

Their technical acumen is demonstrated through proficiency in Python, SQL, Pyspark and modern DevOps practices. Core achievements include automating ETL processes that reduced manual effort by 45 %, migrating legacy SQL workloads to Delta Lake architectures, and orchestrating parameter-driven ADF pipelines via Azure DevOps for rapid, repeatable deployments. They have also implemented bronze-silver-gold lakehouse patterns, enforced rigorous data-quality checks and introduced comprehensive monitoring to lower failure rates from 60 % to 20 %.

Collaborative by nature, this individual partners effectively with security, analytics and product teams to translate complex business needs into scalable technical solutions. Their experience spans consulting-style engagements and professional-services projects, highlighting adaptability and strong stakeholder management skills. With a solid academic foundation in computer science and a track record of modernising data estates, they offer employers a results-oriented engineer ready to accelerate data-driven initiatives.