Sudarshan C

Team Size 20

Key Accomplishments

Reduction in databricks compute and storage costs by 100K per month

Key Result areas

Spearheaded a strategic initiative to optimize cloud costs, resulting in significant savings and improved resource utilization across the organization.

Created a detailed project plan, outlining objectives, timelines, and key performance indicators to measure success.

Conducted a thorough analysis of current cloud resource usage, identifying areas of inefficiency and opportunities for cost savings.

Led the implementation of best practices for cloud cost management, including rightsizing instances, optimizing storage

Fostered a culture of cost-awareness across the organization by introducing cloud cost governance policies and promoting efficient usage practices.

Facilitated regular meetings and workshops to address challenges, share insights, and ensure alignment among all stakeholders.

Developed and maintained comprehensive dashboards and reports to track cost optimization progress and outcomes.

Successfully orchestrated the end-to-end migration of a comprehensive big data project from on-premise infrastructure to a cloud-based platform, achieving significant improvements in scalability, cost efficiency, and performance.

Team Size 40

Highlights:

Led the strategic planning phase, conducting a thorough analysis of existing systems and defining clear migration objectives aligned with business goals

Highlightsnd executed a detailed project roadmap, coordinating timelines, resource allocation, and risk mitigation strategies to ensure timely delivery.

Designed a comprehensive data migration strategy, ensuring seamless data transfer with minimal downtime and maintaining data integrity.

• Led the re-architecture of applications and workflows to leverage cloud capabilities, resulting in improved processing speeds and resource utilization.
• Oversaw rigorous testing and validation processes, addressing potential issues and ensuring successful migration outcomes.
• Coordinated cross-functional teams, fostering collaboration among data engineers, IT staff, and business stakeholders to address technical challenges and drive project success.
• Prepared detailed reports and presentations to showcase the project's impact and value to senior leadership.