Data Platform (Current)+ Manage multiple engineering teams to evolve Splunk Cloud Observability platform for metric time series routing and storage.+ Conduct quarterly and annual planning with area leaders to align on critical projects, staffing, budgeting, milestones and OKRs.+ Brainstorm with cross-functional teams to evolve Splunk Cloud Observability platform and deliver iterative improvements in functionality, scalability, reliability, operability, security and cost efficiency.+ Multiply productivity through collaborative teams, leveraging engineers' interests and skillsets; provide psychological safety and encourage open discussion, experimentation, evidence-based decision making, knowledge sharing and pursuit of engineering excellence.+ Provide guidance and opportunities for growth for early, mid and senior engineers; conduct regular 1:1's and 360 feedback.AIOps Incident Intelligence (Prior)+ Managed fullstack and backend engineers to develop Splunk's next-gen incident response software based on cloud-native, stateful stream processing for noise reduction and automation; guide team in solving complex problems related to state management, provisioning, and throughput.+ Managed team of quality engineers to define QA processes and standards related to automated test coverage, execution frameworks, and quality gating in CI/CD pipelines.Data Stream Processor (Prior)+ Managed multiple teams within Splunk's Stream Processing org responsible for the streaming pipeline control plane.+ Improved process and knowledge base to increase engineering productivity and reduce MTTR and on-call fatigue.

+ Implemented new APIs to optimize the volume of requests per user and provide a path to newer tech stack.+ Improved monitoring and observability of key APIs and their sub-processes via custom New Relic java and python agents.+ Collaborated with data science team to expand and refine geolocation data points to help reduce false positive events of a user's proximity tracking.+ Monitored and troubleshoot incidents occurring in live production systems.

+ Appointed as Lead Manager and Founding Engineer of Informatica's Secure@Source - an AI-driven, data privacy, protection, and risk analytics engine that empowers enterprises to detect and protect sensitive data, monitor activity for suspicious behavior, and govern private consumer data to meet privacy regulations.+ Grew team of 5 developers to a highly-skilled team of 11 with a consistent record of completing development projects within scope, budget, and designated timelines.+ Mobilized the development team to deliver on an urgent request for DSAR report generation, implemented a revised engineering process to allow greater collaboration, clearly defined roles for each developer, and delivered project on-time and met stakeholder expectations.+ In response to a customer's user interface issue with load times, profiled the distribution of file system data, and revised data model and updated coding, to successfully reduce page load time to under 1 second.+ Attracted and retained talent through technical mentorship, timely and constructive performance feedback, and personalized career development and training.+ Built strong cross-functional teams that drove productivity, engagement, impact, and collaboration between US and India campuses.+ Delivered product innovation and ensured product quality through integration of coding best practices, rigorous review of backend architecture and design, benchmarking, testing, and refactoring.

+ Served as tech lead on the server-side infrastructure design and implementation project for Informatica’s Secure@Source product, delivering a high-level architecture and implementation for the job scheduler ahead of schedule.+ Delivered a custom and upgraded dashboard framework within an aggressive timeline and optimized with 40-added user interface widgets, advanced analytics with drill-down capabilities including paging, filtering, and sorting, as well as an established competitive advantage over other solutions.+ Designed and implemented RESTful APIs and services for sensitive data discovery on Secure@Source.+ Designed and implemented User Behavior Anomaly detection via Spark Streaming to augment and aggregate activity data as a feed to ElasticSearch and in house ML engine.

+ Designed and developed code for Informatica's Master Data Management (MDM) technology stack, focusing on server-side APIs and entity-relationship management.+ Designed and implemented REST-based web services and code to integrate DataScout (a Salesforce.com based MDM product acquired by Informatica – now called CC360) into the Informatica ecosystem.+ Worked with pre-sales to engage customers in validating product features and improve customer experience.

+ Addressed growing need to join data across multiple sources into a single UI in the flagship Master Data Management product by presenting and executing recommendation to partner with a federated query vendor, resulting in less coding, better performance, improved functionality, and acquisition of new business.+ Designed and developed the connectivity capabilities in Siperian’s Activity Manager product, including inbound and outbound messaging, complex event processing, and connectors to enterprise and custom applications including Salesforce.com and SAP.+ Developed prototypes, integration test harnesses and proxies for functional, performance, and stress testing on a variety of application servers and databases.+ Established architecture and solutions best practices utilizing Activity Manager for use by professional services.+ Designed and implemented various functionality, including Workflow/Task Orchestration for Siperian/Informatica Data Director (IDD), a Javascript-based (RichFaces) data stewardship GUI for Informatica MDM MDE.

Bioinformatics Project• Developed a J2EE web application to store and analyze experimental data for the UCSF Proteomics Lab. Data was extracted directly from mass spectrometry equipment into mySql database for viewing on a web browser.Digital Preservation Repository• Created searchable indexes using Lucene for efficient data retrieval of pdf documents in the UCSF library's digital document collection of over 4 million documents pertaining to tobacco lawsuits.