data engineering , Apis, Enterprise Integration, Microservices, ELT, Etl, GenAI, messaging systems, event-driven architectures, Ai, Data Platforms

PowerShell, Cloud Technologies, Windows, Sql, Incident Response, Linux, Shell scripting, Splunk, Itil Processes, Application Support, Python, AWS, Microservices-based architecture, Monitoring technologies, AI-driven operational tooling, Observability

planview , clarizen , Agile Methodologies, Clarity, Excel, Jira, Safe, Microsoft Project, Change-point

product strategy , Cloud Security, Cybersecurity, Iam, Reference Architectures, Product Positioning, Enterprise Product Launches, Product Marketing, AI Infrastructure Software, Technical Marketing, Go-to-Market Initiatives, Storytelling, Messaging, Developer Platforms

Rpa, Quality Management Systems, Service Excellence, Iso, Ai, Process Engineering, Six Sigma Black Belt, Copilot, Delivery Excellence Practices, Governance, Metrics Reporting Management, Agile Practice, Power App, Lean Certified Practitioner

data engineering , Machine Learning, Apache Spark, Kubernetes, Airflow, Apache Iceberg, Frontier AI models, ML Platform Development, Ray, NVIDIA Workbench, Flink, SageMaker, Jupyter Notebooks, Kubeflow, Vertex AI, MLFlow

User Access Management, Change Management, Trend Analysis, Root Cause Analysis, Governance Assurance, Monitoring and Triage of Alerts, Platform Configuration Maintenance, Data Quality Management, Risk Management, Incident Problem Management

tokenization , Machine Learning, Git, Docker, Rest Apis, Python, AWS, embeddings, vector databases, Anthropic, prompt engineering, LLM APIs, AI-assisted development tools, GenAI ecosystem, OpenAI, RAG architectures

Cms, AI-enabled tools, data orientation, Technical Writing, Lms, Documentation, customer engagement platforms, Crm Systems