Architected and oversaw development of the video surveillance platform for third party integration and remote monitoring of distributed sites.Use case initiatives: enabling outlying communities’ prediction of annual crop yields, provide SON integration for optimal cell coverage and real-time pattern based alerts to various agencies. This design enabled end to end management, and visualization of 500,000+ geographically distributed devices. Provided guidance and leadership in the architecture and innovation of the IoT (Internet of Things) platform.It afforded RF engineers geospatial visualization capability and enhanced data analytics to increase user experience and quality of service over internal and external networks. This platform integrated and analyzed all network data across the enterprise for India’s greenfield LTE network. Led strategic initiatives and architecture for the implementation of high volume data pipelines.Offered guidance to senior leadership to ensure strategic initiatives and vision aligned with the rollout of their greenfield LTE network and big data platforms.Responsible for R&D of emerging technologies and proof of concepts to establish alignment with senior leaderships technological vision and enterprise roadmap.Global Principal Enterprise Architect & Strategic LeadershipĬore technologies: Kafka, Flume, HDFS, Microservices, HBase, Spark, CoAP, LWM2M, IoT, SON (Self Organizing Networks) This new model leveraged event driven (pub/sub) methodologies and real-time analytics (edge computing). Developed architectural strategy to scale data transactions and offer consistent data delivery across different regions and zones.The platform must be able to interact with low latency and scale to over 80 billion transactions per day worldwide. Assessed and analyzed the current implementation of the real-time bidding platform for performance, scaling, and data efficiency concerns.By realigning as a trusted advisor and embracing our customer's open source use cases, we would create and capture new funnels in our sales initiatives.Ĭore technologies: Kafka, noSQL, Microservices, Spark, Storm, Real Time Bidding (RTB) Created strategies and guidance to help position team to generate one million in pre-sales engagements over a 12-month period.Developed executive level strategies focusing on high-value business insights and analysis that leveraged emerging technologies and hybrid solutions to drive increased ROI and reduced technical debt.Providing Confidential 's customer's real - world guidance on integrating and scaling multi-petabyte analytical ecosystem utilizing open source and enterprise-based solutions.Principal Enterprise Architect Core technologies: Multiple RDBMS Systems, Hadoop, Hive, Storm, Spark, Kafka, HBase, Flume, Java, C#, SON (Self Organizing Networks). The architecture incorporated Elasticsearch for its advanced search capability, RabbitMQ for event change data capture ( Confidential ), and microservices to remove dependencies across development teams while increasing the time to market for features and meeting customer milestones.The main objective was to increase data quality and consistency for accurate reporting and move to a cloud based microservice approach.
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