• Leading technology teams in developing and implementing data science projects, ensuring effective architecture and strategic planning for optimal project outcomes• Effectively monitoring and coordinating the efforts of customer, vendor, and cross-functional teams to ensure the successful delivery of projects• Spearheading the development and implementation of robust data management systems on the Google Cloud Platform (GCP) and Azure, ensuring the utmost accuracy, completeness, and consistency of data across multiple systems and sources• Fostering collaboration with cross-functional teams to gain a comprehensive understanding of their unique data requirements and offer expert guidance on data-related challenges and opportunities• Upholding strict compliance with data governance policies and procedures on both the GCP and Azure platforms, ensuring the integrity and security of valuable data assets• Establishing and sustaining robust data quality control processes, conducting regular audits to ensure the accuracy and reliability of data

Deputed to Ford Motor company from MARCH-2011 to AUGUST 2018.· Streamlined acquisition of reporting requirements and specifications to disseminate across multiplebusiness lines and IT support teams.Worked with· Implementation team to ensure a smooth transition from the design to the implementation phase· Development, Test, Documentation and Product Management Teams to deliver high qualityproducts and servicesDesigned & developed:· Managing various projects from requirements gathering and scope preparation to project closure· Directed all software design, architecture, and programming.· Established and maintained key relationships with business stakeholders· to promote future opportunities.· Reviewed project requirements to identify customer expectations and number of resources neededto meet goals.· Identified opportunities for process improvements that resulted in decrease in support calls as wellmaintaining 96% SLA.· Implemented unit and integration testing protocols to consistently deliver high quality, functionalfeatures with minimal defects.· Collected information by meeting with database architects and administrators to determine clientsystem limitations for capacity and load for data processing projects.· Moved development life cycle rapidly through initial prototyping to enterprise-quality testing andfinal implementation by using Agile methodologies.· Directed the planning for each sprint, as well as post-sprint reviews and retrospectives.