About Keven
With a background in mechatronics, Keven approaches data engineering with an eye for automation and system design that goes beyond getting pipelines to run. With 7+ years of experience across retail, property, financial services and mortgage clients, he designs end-to-end data architectures the way an engineer designs systems — with failure modes in mind, not just the happy path.
Also ranked among the top 1,000 Counter-Strike 2 players in Australia. We checked. It’s real.
Keven has baseline security clearance – permits ongoing access to classified resources up to and including Protected.
Specialisations
Data Engineering
Designing robust data pipelines and architectures, building scalable data solutions to streamline data collection, storage, and transformation, ensuring data quality for analysis.
Microsoft Azure
Microsoft Azure cloud services to design and optimise scalable data pipelines, leveraging Azure Data Factory, Synapse, Databricks, and Data Lakes for efficient data processing, analytics, and governance.
Databricks
Databricks empower businesses to process large datasets with speed and accuracy, streamlining data engineering, machine learning, and analytical processes.
dbt (Data Build Tool)
Using dbt to build scalable, SQL-driven data transformations, automate testing, and enhance data quality, lineage, and analytics workflows within modern cloud data platforms.
Certifications
