I'm a Data Engineering Manager with over 13 years of expertise in architecting scalable data solutions and leading cross-functional teams. I excel at building analytical dashboards and data pipelines that empower stakeholders to make accurate business decisions.
My experience spans from hands-on development to strategic leadership, balancing technical excellence with business acumen. I've successfully led major cloud migration projects, optimized ETL workflows, and reduced infrastructure costs by 87.5% through innovative use of AWS, Databricks, and modern big data technologies.
I'm committed to delivering scalable data architectures that drive business insights and support strategic growth, while mentoring teams and fostering a culture of continuous improvement.
Here are some of my key achievements and projects. Each represents significant impact on business operations and cost optimization.
Reduced Databricks costs by 87.5%, saving $7K monthly through optimized clustering strategies and efficient resource allocation. Implemented intelligent auto-scaling and job optimization techniques.
Led migration of on-premises data warehouse to scalable cloud solution, enhancing uptime and performance. Designed and implemented modern data architecture using AWS services and best practices.
Developed scalable ETL pipelines with AWS and Spark, increasing data processing speed by 70%. Optimized workflows to handle large-scale data processing while reducing operational costs.
Led a team of engineers to deliver complex data projects on time and within budget, improving delivery efficiency. Balanced hands-on development with managerial responsibilities while ensuring high-quality deliverables.
Have a project in mind or just want to chat? I'd love to hear from you!