Data Migration Engineer / Lead – Fabric
Current Job Type
- Contract
Salary / Rate
- $1350 Day
Notice Period
- Immediate
Location
- Melbourne
Status
Current Job Type
Salary / Rate
Notice Period
Location
Status
A seasoned Data Engineering & Migration Lead with over 13 years of experience orchestrating large-scale data initiatives across consulting, healthcare, sports, automotive and manufacturing sectors. Adept at Microsoft Azure, Dynamics 365, Databricks and Snowflake ecosystems, they leverage deep expertise in data-quality assessment, integration and analytics to empower data-driven decision making. Their background spans end-to-end migration strategies, advanced ETL solutions and stakeholder engagement for organisations such as a Technology Company, a Healthcare Provider and a Consulting Firm.
Demonstrating robust technical acumen, this professional has architected scalable Azure platforms using Data Factory, Databricks, Synapse Analytics, ADLS and Azure SQL while championing agile and DevOps practices with tools like Azure DevOps, GitHub and JIRA. Key accomplishments include delivering 99 %+ accurate Salesforce Health Cloud migrations, standardising reusable Databricks pipelines for utilities clients and cutting project timelines by 15 % through optimisation of Azure Data Factory and SSIS frameworks. Their portfolio also features the development of real-time reporting solutions with Power BI and Tableau, and the automation of complex data-quality profiling using AI-driven Copilot capabilities.
Combining leadership and technical depth, they have managed cross-functional teams of up to eight, facilitated strategy workshops and authored comprehensive documentation to ensure smooth delivery and knowledge transfer. Recognised for clear communication, strategic planning and problem-solving, this individual consistently achieves seamless cut-overs with minimal warranty issues and drives continuous improvement across data landscapes. Their blend of hands-on expertise and collaborative leadership makes them a valuable asset for organisations seeking to unlock the full potential of their data assets.
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