Kaiburr is an application orchestration software. It helps business owners to get visibility into the current state of their business operations. It enables product owners to achieve accelerated go to market and COOs/CIOs to effect governance and control over their IT operations, and expedite cloud adoption.It is available on on-premise, AWS, Azure and Google Cloud. It provides a single pane of glass to configure, execute and monitor application deployments across data centers. Security postures and operational controls can be setup, enforced and tracked for compliance. Organizations can setup secure application deployments in hours and migrate applications to the cloud in days.

Setup the data management organization.Implemented the following data strategy pillars - Master Data Management Data Quality Integration as a Service Reporting as a Service Data Hub as a Service (big data / data lake) Data Streaming Platform Data Analytics PlatformCreated the product strategy for SaaS based data products and servicesEnabled the definition and implementation of the cloud strategyDrove the adoption of devops practices and deployment automation (CI/CD)Delivered SaaS productsCreated and implemented big data strategyEnable efficient creation and execution of models (built through predictive modeling and machine learning)Defined and implemented data governance strategyEnabled the definition and implementation of security postures with following security components - encryption, data masking, PII/NPPI handling, authentication, authorization, WAF, DDoS protection, SQL injection handling, cross site script handling, log managementEnabled micro-segmentation of the private cloud

Setup the enterprise data strategy. Put together the roadmap to implement the data strategy. Setup high level data governance process. Setup product data strategy.

Worked with various customers to help define Enterprise Data Architecture standards and best practices. Led initiatives on the following Data Management disciplines - Metadata, Master Data, Reference Data, Data Quality. Led the adoption of Big Data technologies.Responsible for setting up Data Architecture teams and mentoring Data Analysts, Data Modelers and Data Architects in the organization.Worked on the definition / creation and the adoption of Enterprise Data Models.Worked with various Canonical Data Models and their usage in different client organizations.

I was responsible for Data Architecture work for specific programs. I led a team of data analysts and data modelers to create data architecture artifacts like data models, data transformation specifications.