Data Engineer – Databricks

Candidate Description

With over four years of dedicated experience in data engineering and analytics, this professional brings deep expertise in architecting scalable, high-performance pipelines across Databricks, AWS, Azure and GCP environments. Their background spans research, consulting and enterprise delivery, equipping them to translate complex requirements into robust lakehouse solutions that empower data-driven decision-making within consulting, healthcare, education and FMCG sectors.

Adept at advanced SQL and PySpark, they have optimised terabyte-scale transformations, implemented Delta Live Tables architectures and engineered Change Data Feed strategies that slashed processing times by up to 60 %. Leveraging tools such as Azure Data Factory, Airflow, Docker and GitHub within Agile frameworks, they consistently deliver secure, governed and cost-efficient solutions evidenced by 40 % runtime reductions and 30 % infrastructure savings achieved for a Technology Company.

Beyond hands-on technical delivery, they excel at stakeholder engagement, mentoring and cross-functional collaboration, distilling intricate technical concepts into clear, actionable insights. Certified as a Databricks Data Engineer Associate and holding a PhD in Industrial Engineering, they offer a potent blend of academic rigour and practical know-how, making them an adaptable, results-orientated asset ready to accelerate data innovation for forward-thinking organisations.