Mission Focus: Collaborate closely with customers to Design, develop, deploy, and sustain a production-ready Business Intelligence, data warehousing, and advanced analytics environment leveraging Python, Java, R, and AWS cloud technologies. The mission encompasses provisioning and configuring AWS resources; implementing enterprise data warehousing solutions; deploying and integrating Tableau and Power BI; developing core corporate dashboards and analytics; and enabling advanced analytics, analytic watermarking, sandbox environments, and pilot initiatives. The role also requires expertise in SIGINT architecture and NiFi dataflows, along with advanced MLOps capabilities to industrialize AI models through Docker containerization, Kubernetes orchestration, and automated end-to-end pipelines. Additionally, the mission focuses on optimizing Large Language Model (LLM) performance through advanced prompt engineering and integrating scalable, secure, and operationally effective AI solutions into the enterprise analytics ecosystem.