Vaibhav Nirkhe

Project: eSAS Cloud Migration
Situation: Transitioning from a legacy on-prem SAS infrastructure to AWS poses risks of downtime and budget overruns.
Task: Lead architecture and execution of the cloud migration to ensure seamless operations.
Action: Spearheaded the full lifecycle of solution architecture, implemented an AWS-based solution, and revised deployment strategies for cost efficiency.
Result: Achieved 80% reduction in production downtime and slashed annual operational costs by $2M, improving financial performance significantly.

Project: Databricks Delta Lake Implementation.

Situation: The organization needed a modern data platform for enhanced analytics.
Task: Evaluate and implement Databricks Delta Lake for data modernization.
Action: Conducted comprehensive evaluations and led phase 2 inceptions for the eSAS project.
Result: Successfully modernized data processing capabilities, positioning the organization for future analytics growth.

Project: Transformation of Truist's Digital Marketing Tech Stack.

Situation: Legacy systems were hindering marketing effectiveness post-merger.
Task: Architect scalable solutions to integrate with existing systems.
Action: Led strategic planning sessions with stakeholders and implemented solutions that enhanced performance.
Result: Improved SLS performance by 5X and scalability by 3X, supporting the growth of Truist to 21M customers and tripling revenue from $15M to $42M.

CI/CD and Compliance Initiatives
Project: CI/CD and Compliance Initiatives
Situation: Need for robust CI/CD pipelines to ensure compliance and rapid delivery.
Task: Establish CI/CD practices across projects.
Action: Developed and integrated CI/CD workflows, ensuring adherence to compliance standards.
Result: Streamlined deployment processes, reducing release times by 40% while maintaining compliance with industry regulations.

Project: Desktop Analytics for Verizon.

Situation: Verizon required a real-time monitoring solution for call center agent productivity.
Task: Manage a team to develop a comprehensive analytics platform.
Action: Spearheaded the system design and development of real-time data pipeline with machine learning models integrated with end-to-end data processing flow.

Result: Achieved a $25M annual cost reduction and 75% accuracy in predictive analytics, enhancing decision-making capabilities.