- Expert in SIEM, SOAR, CNS, EDR,Identity, AI based security workflows, heavy automation - SME on data ingestion, data pipelines, enrichment, correlations, and ultimately business value from data at high scale. - Assess the existing enterprise architecture and its functionality across multiple platforms, ensuring it aligns with industry best practices and standards.- Design and develop the data pipelines and AI architecture frameworks, blueprints, and strategies to support customers' goals and objectives.- Working with industry Observability and SIEM platforms and pipelines like Splunk, DataDog, ELK, Sumo Logic, QRadar, AlienVault, Microsoft Sentinel, Loki, and Prometheus.- Working with BI tools like Tableau, Grafana, Looker, and PowerBI- Collaborate with cross-functional teams, including software engineers, data scientists, and security professionals, to define data requirements and architecture specifications.- Develop robust data integration, transformation, and storage solutions that can scale for enterprise-level data processing and analysis.- Implement and enforce data governance and security practices to ensure the confidentiality, integrity, and availability of data assets.- Provide technical guidance and mentorship to other engineers, fostering a culture of continuous learning and innovation.- Stay up-to-date with emerging technologies, industry trends, and best practices in data management, AI, and security.- Collaborate with stakeholders, including business leaders and IT executives, to understand their data and AI needs and translate them into architectural solutions.- Perform regular assessments and audits of the data platform architecture to identify areas for improvement and optimization.- Work closely with infrastructure teams to ensure the availability and performance of the data platform, addressing any scalability or stability concern

- Hinge between customers and product/engineering, and a trusted partner to prospects.- Engineering specialist in Dataset and surrounding ecosystem - Expertise in data pipelines in observability, cloud infrastructure, systems integrations, and observability - Training and empowering 100s of partners and SEs to attain technical wins. - Write software in various languages to solve various problems- Empowering customers and prospects to achieve their goals with SaaS and open-source software.- Building trust with SWEs, Data Scientists, SOC, CISOs, CTOs, CFO, etc.- Understanding customer's business needs and painpoints- Deep and broad technical knowledge of the enterprise security and observability ecosystem- Design innovations with product and engineersWorking with following tech:SIEM, SOAR, IDS, Threat Intel, Firewalls, Network forensics, Data Pipelines (Scalable syslog appliances, Kafka), ML/AI application to observability data

Working with merger. Manage existing customer base from technical perspective. Technology is in cloud, k8s, micro-service, observability space.Work with engineers and C-Level Execs. Mid and Tech touch customer management. Using data and automation to identify expansion opportunities and diminish churn. Product and ecosystem expert and coach SREs, DevOps, and SWE's on best practice with infrastructure, logging, monitoring, and working with them to implement in a scaleable way.

Onboarding highly technical projects. Building relationships with technical and non-technical clients. - Pre > post-sales handoffs. - Building trust with OUs of large enterprises. - Technical point of contact for new clientsTraining users on our technology and the ecosystem of integrations including: - Azure, GCP, AWS - Streaming Events - Kafka, PubSub - DB - Relational, Nosql, Timeseries, blob - Kubernetes- Docker, istio, helm, rancher - Configuration Management tools - Chef, Ansible - Elastic - LS, FB, Elastic, Kibana - Source Control -Git - APM - New Relic, - Logs, metrics - Datadog, ELK, - RESTful - API - BI Tools/visualizations - Tableau, Grafana, GDS - Code and other SDKs - Python - CI/CD - Jenkins, harness, circlci aEngineering integration solutions and prototypes for customers running in On-Prem, hybrid, and multi-cloud environments such as GCE, AWS, Azure, Openshift Container Platform, Oracle Cloud, IBM Cloud. Dealing with monolithic and microservices.Listening to potential customer's pain points, working with engineering, and product to advocate for clients. Architecting and building prototypes.Training, developing content - https://www.youtube.com/watch?v=BGHjUgSFp0w

POC resource for enterprise and mid-market clients. Identify pain points in data pipeline for observability and solve issues.Develop and give demosManage POCsVisit clients for onboarding

The second member of Support org. Building the car as we drive. Manage customer issues in regards to configuration and logging in using APIs, Linux, Docker (Swarm, Compose), Kubernetes(AKS, EKS, GKS, KOPS), AWS (S3, ECS, EC2, RDS, ELB, Lambda, Cloud Watch) Azure (WebApps, ACS, ARM, VMs) and Windows.Handled tickets and developed processes and procedures. Anywhere I was needed, I helped and adapted.Technical services for cloud infrastructure observability. Utilize cross-functional team resources to help solve problems and augment product utilization for prospects and our customer base of engineers, CIOs, Engineering Managers, and Software Developers. Handle multiple large environments and troubleshoot issues for devops engineers, developers, and CTOs. Deal with issues arising on various Kubernetes and Docker, AWS, GCP, Azure, and other cloud and on prem environments.Drive adoption of the product.

- I was responsible for all existing systems such as websites, SaaS applications, Learning Management Systems, custom systems, integrations and other internal and external systems.- Architected software with API, cloud, and Infra as Code, first strategies.- I led the charge to get CAC to begin using Azure and fully migrated system to the cloud. - Worked with DevOps team to architect toolchain- I worked with course designers to perform technical due diligence for a new LMS system. Managed adoption of this system. - Built a large team of international developers To build several systems built in azure using Microservice architecture - multimedia cloud app with ai/ml pipelines to empower content creators.- Managed projects, budgets, estimates, and the web product roadmap. - Worked with key stakeholders and cross-functional team members to capture requirements for an internal accounts payable processing application.- Led the charge to gather requirements, plan, architect, research, and build a team to develop a large Azure AI-focused library system to host, transcribe, translate, and analyze their 30 years of video content using MVC .NET, Material-UI, Azure micro-services architecture, Media Services, and Cognitive Services. Some features include: leveraging Azure sentiment analysis, facial recognition, and Media Services.- Built the development team for the above Library project who delivered project- Led company adoption of Asana including creating buy in from cross functional departments, managing integrations, and adapting current processes to work with this system.

Cloud architecture consultingFocused on internal operations and built erp with Salesforce using Restful APIsInfrastructure Managed and formed client relationships Built IT as a Service (ITaaS) system that used APIs, ETL, and data pipelines to monitor IT infrastructure for anomalous behavior and security issues, integrated into help desk, project management, CRM, and billing system. Built a team of engineers and processes around which they operated Built web apps on Azure and worked on devops process using Azure, ARM, Jenkins, and Docker, Led agile projects and led team to consistently become more efficient with every iteration.International management and leading international development teamsManaged projects from inception to deployment

IT Engineer for a mid-size construction company in Albuquerque, New Mexico. . This was also a 24/7/365 fast-paced environment and often required me to work nights, weekends, and holidays.Responsibilities:1. Sharepoint2. Hyper-V3. Exchange4. Active Directory5. Linux/Unix Servers6. DNS7. Worked on a hybrid cloud migrations8 Customer service and desktop support9. Firewalls/Networking10. Managing server / client application HardDollar. Deployment of entire system as well as management of updates, user training and support, and vendor management.11. Leveraged open source technologies12. Microsoft SQL Server13. Desktop Helpdesk Management and Support14. SonicWall15. SAML, LDAP, SSO - OneLogin

Wrote, tested, and deployed code to University servers Worked with APIs in JS and PHP. Worked with university Linux infrastructure. Worked with HTTP, JavaScript, Jquery, CSS3, HTML5, XML and PHP