About the candidate
A highly experienced Data Engineer with 10+ years in designing and building scalable data infrastructures across multiple industries, including Finance, Retail, Oil & Gas, and Insurance. Proficient in Azure, Azure DevOps, and Databricks, this professional has a solid track record of designing and implementing end-to-end data solutions that significantly drive business growth. With expertise in big data technologies, they excel at solving complex business problems and enhancing decision-making processes.
What makes them great?
- Scalable Data Architectures: Successfully implemented scalable, secure Azure data platforms supporting actuarial risk modeling and analytics, enhancing regulatory compliance.
- Efficiency Improvements: Reduced deployment errors by 30% through Azure DevOps strategies, increasing collaboration efficiency and project consistency.
- Innovative Problem-Solving: Spearheaded the integration of diverse data sources into unified platforms, significantly increasing operational efficiency and data accessibility.
Areas of expertise
- Cloud & Data Engineering: Expert in Azure services such as Data Lake, Data Factory, Databricks, and SQL Server. Skilled in managing cloud resources and optimising costs.
- ETL/ELT Implementations: Proficient in designing and executing data transformation projects within various sectors such as Telecom, Banking, and Insurance.
- Programming & BI Tools: Highly skilled in Python, PySpark, SQL, and BI tools like Power BI and Tableau for querying and creating views, functions, and procedures.