Senior Data Engineer – Fabric & Databricks

Candidate Description

Specialising in modern cloud data engineering, this professional brings over nine years of experience delivering scalable solutions for organisations such as a Technology Provider, a Consulting Firm, an Analytics Firm and a Technology Services Provider. Adept at architecting and optimising Azure, AWS and Snowflake environments, they excel in building high-performance data platforms that span education, government, energy, mining and FMCG sectors. Their core strengths include advanced data-pipeline design, lakehouse architecture, and a strong foundation in Python, PySpark and SQL.

Their technical acumen is highlighted by hands-on delivery with Azure Synapse Analytics, Databricks and Microsoft Fabric, where they have developed end-to-end ingestion, transformation and orchestration frameworks. By leveraging Agile and SDLC best practices, they have led cloud migrations, built anomaly-detection models in Azure ML and optimised streaming workloads—achieving processing-speed improvements of up to 65% as documented in recent client engagements.

A natural collaborator, they mentor cross-functional teams, harmonise stakeholder priorities and champion data-governance standards that ensure security and cost-efficiency. Their combination of deep technical skill, consultative mindset and industry-spanning exposure positions them to drive data-driven transformation and unlock measurable business value for future employers.