Data Engineer

Summary

Over the past 10 years I built a career in data development and analytics. In a new role I look forward to joining a dynamic team, keep expanding my Data Engineering skills and apply my stakeholder management experience to build solutions supporting operations.

In recent years, I focussed on cloud technologies in Azure and the power platform. I have a wealth of experience in applying BI data engineering best practices for performing ETL/ELT, automating pipelines, metadata-driven data warehousing, building models and deployment pipelines.
Im also experienced in Machine Learning Operations, have built CICD pipelines and developed python solutions to train, deploy and maintain Azure Machine Learning models.

As an experienced Six Sigma Black Belt I have worked on projects supported by data science and statistics for many years. While running these projects I developed a knack for problem solving, understanding business needs and a strong commercial acumen.

As leader or member of a team, I operate with high energy and resilience, thrive in fast paced environments, and enjoy building relationships. I am comfortable working with stakeholders of all levels as well as developing technical solutions.
With a self-starter attitude, I relish taking the lead and developing new ideas into real solutions

Expectations

Project work, Senior team, autonomy, new skills development, hybrid WFH

Employment Preferences

Expected Hourly Rate

**0 AUD/hr

Academic Degree

Experience

Skills

• Python
• Data Engineering
• ML Ops Engineering
• Business Intelligence
• Data Analysis
• SQL
• DAX
• PowerShell
• YAML
• Azure
• Data Factory
• Synapse
• Functions
• Logic Apps
• DevOps Deployment
• Azure Machine Learning
• Data Bricks
• Fabric
• Databricks
• PySpark
• Lakehouse Design
• CICD