Saikrishna S Email and Phone Number

As a data engineer, I do low level designing and development of efficient data pipelines by implementing various architectural patterns like EDA, CDC, Streaming etc across projects that drives products like Process Optimization, Asset Performance Management (APM).Designed and implemented a reconciliation architecture involving Event driven and Change data capture mechanisms that process data from multiple sources and reconciles multiple sources parallelly. Lead an initiative to project a report on Power BI about the Infrastructure costs as a single source of truth to keep a tab on the cloud spending.

As a part of the M&A team, I had the privilege to work on a core business centric usecase driven by Power BI involving extensive data analysis. This application was designed for the divestitures part of the deal and it's associated inventory of applications, User IDs all at one place for multiple deals given the multiple sources of data.Primarily associated with the due diligence phase, the application maintains a single source of truth for multiple deals there by ensuring deal level data isolation. This made a positive impact on the pace of the deal execution by speeding up the Virtual Data Room (VDR) preparation time.Data confidentiality was ensured at all levels to cater the fact that deals are accounted to be a part of deal NDA and corporate NDA. Role based access control (RBAC) was implemented given the access restriction levels of users sufficing row level security of data.