Davidson Adumeta

I am a Data Engineer with over 9 years of experience designing, building, and optimizing data pipelines, cloud-based architectures, and analytics platforms. My expertise spans SQL, Azure Data Factory, Databricks, and Python, with a proven track record in data quality, governance, and migration projects.

Notable achievements include leading a KPI traceability and data model optimization initiative at TELUS, where I streamlined reporting by implementing dimensional models in Azure SQL and Databricks Delta Lake, reducing reconciliation efforts by 30%. I have also supported cloud migration projects, modernized CRM data platforms, and built end-to-end ETL workflows that improved accuracy and accessibility for business-critical insights.

I bring a detail-oriented yet business-focused approach, bridging technical solutions with operational needs, and thrive in collaborative, agile environments. My passion lies in transforming raw, complex datasets into trusted insights that empower decision-makers.

If you’re looking for a data engineer who can modernize your data systems, optimize cloud costs, and deliver analytics-ready data, let’s connect.