Now Serving Data...right from the oven!

Advisor for CalSTRS Analytics Org. to help them transition from Legacy to Cloud Analytics

At Sunrun managed a team of data engineers, visualization engineers, and Data scientist & analysts improved business decisions related to Sales, Operations, Finance teams and time to market initatives. Responsible for focusing primarily on the acquisition, funnel analysis, engagement, retention, and customer operation. Lead in modernizing the existing data platform and architecture. Responsible for DevOps and Cloud Engineering Enablement with the overall goal of dramatically improving development. - Self-serve Analytic Products: these are products that provide curated data access to non-technical business users with the Governed data model and hub & spoke approach - Analytic Products: these are primarily Looker-based tools that provide rich analytic perspectives on the specifics of existing and emergent business programs. - Data-as-a-Service Products: these are products that provide metrics to our channel partners to improve our partnerships & Investor relationship - Data Scientist: these are products that provided data platforms for DS to undertake ML models to address some of the business cases like propensity, cycle time, Proposal generation etcWe use GCP for much of our tech stack, along with Informatica, and build products with Looker, Big Query and other cloud data technologies.

Establish long-term plans and goals to support global business and operations. Analyze needs, establish priorities, and drive projects to increase efficiency and reduce costs, including new development, infrastructure upgrade. Provide overall project leadership for global data integration, data warehouse, MDM, and Business Intelligence as a delivery manager.

Spearheaded strategy for integrating dispersed BI platforms to eliminate regional reporting which included decommissioning of 30+ legacy tools eliminating $2.5M of IT costs, and standardizing processes. • Managed large global IT organizations with up to $10M annual budgets, and leveraging partners, such as Cap Gemini, Cognizant, Teradata, and SAP for success.• Development and maintenance of Data analytical capabilities for areas like – Retail, Order to cash, Procure to Pay, and Finance.• Instrumental in developing and implementing MDM and EDW design principles to deliver optimal ETL, query scalability, flexibility, and performance by defining quality standards rule for transformation, data architecture, and reporting tools dispositions.

Responsible for the overall architecture, development, and maintenance of standards for BI application like Financial analytical application, Human resources & Clinical Trail management system