Building PropLytics

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- Accomplished professional in Solution Selling and Solutions Architecture, specializing in Data analytics and GenAI on the Google Cloud Platform, with a focus on the Manufacturing industry.- Proven success in collaborating with Fortune enterprise customers and venture-backed Digital Natives at the C-level.- Led and successfully multiple high-value multimillion-dollar deals, significantly driving revenue growth and enhancing overall business success- Leadership in solution selling and architecture for Data analytics use cases, particularly within the Manufacturing sector.- Google Cloud Certified Professional Data Engineer

Helping customers achieve specific business outcomes by migrating and modernizing their applications on Microsoft Azure. Building a roadmap for success in Azure cloud, based on their technologies and business requirements.

- Microsoft Certified: Azure Solutions Architect Expert- Led a team to win 2nd place in Microsoft's CSS Hackathon - built a data-driven health iOS app - Led and managed Microsoft's Open Source partners and FTE engineering team - US & India - Built and maintain partnerships with a broad range of enterprise customers and third-party organizations regarding resolution of technical issues with Microsoft cloud solutions and software products- Develop and maintain Microsoft's Open Source technical pipelines.

• Specialist in MS Azure Cloud Services and MS Bg Data Stacks• Enable enterprise customers to host complex applications on MS Azure by guiding the design and implementation of cloud architecture pipelines. • Train engineers on MS Big Data solutions by building knowledge databases, leading training sessions, and curating technical documents resulting in greater team efficiency• Increased customer satisfaction through technical oversight and guidance on critical situations for Microsoft's key customers. • Working with MS Campus Services, Digigirlz, and Dallas Local School to increase MS outreach as well as provide positive changes to our community.

Administered more than 1,000 data nodes across three different data clusters, including the production cluster; monitored, commissioned, and decommissioned data nodes, while also managing troubleshooting, cluster planning, data management, reviews, backups, as well as reviewing and administering log files. Installed and configured data management software, including conducting performance tuning and capacity management to improve the usability of Hadoop clusters. Provided operational support services throughout all phases of Hadoop infrastructure and application installation efforts.• Led team to complete installation of Apache Atlas, install ranger KMS and provide data security to T-Mobile infrastructure.• Received Inspiring Performance Award 2017 at Wipro for improving software stability and prevent future failures.• Received recognition in Wipro Winner Circle 2018 for designing and installing a suite of software previously incompatible with system.

Upgraded four Hadoop HDP clusters consisting of more than 1,000 data nodes, including using Ranger and Ranger KMS to integrate security features and encrypted HDFS data. Implemented, analyzed, and transformed data by implementing Bash, Hive, and Pig scripts in a Hadoop environment. Enabled enterprises to link critical data by managing and implementing Master Data Management (MDM) applications. Performed market analysis through the use of Dataiku Data Discovery to conduct machine learning and prediction. • Received Inspiring Performance Award for assisting in efforts to improve software stability and prevent future failures.

Developed and delivered sales engineering presentations to executive stakeholders of Fortune 100 companies, including Microsoft, AT&T, T-Mobile, and others, working to develop new business opportunities to implement and support Big Data technologies. Showcased Wipro products to T-Mobile, communicating technical, sales-driven information to promote new sales; efforts resulted in T-Mobile signing on to purchase and implement the product.• Delivered speeches to the top 300 stakeholders at Wipro; communicated Big Data best practices and solutions to support the development of innovative products and services focused on data management, data analysis, and data security.• Supported development of technical teams responsible for developing and implementing new Big Data solutions; conducted technical interviews of more than 80 new Wipro database engineers and developers.