data engineering , Hipaa, Microservices, Ehr, Application Development, Agile, Scrum, Integration, Emr, Devops, Hl7, Healthcare Interoperability Standards, Delivery Governance, FHIR, Executive Stakeholder Management, Cloud-native technologies, Financial Management, modernization, Commercial Negotiations, API Ecosystems, Mobile Data Platforms, HIS, Digital Personal Data Protection Act, PMS, Production Support, AI-assisted engineering

containerization , Java, Cloud Infrastructure, Docker, Flask, Kubernetes, Python, Airflow, MLOps principles

Gcp, Distributed Systems, System Design, Azure, micro-services architecture, Cloud native distributed system development, telemetry features, engineering excellence

Retrieval Augmented Generation (RAG), Java, Databases, Performance Engineering, Distributed Systems, Python, Cost optimization in cloud environments, Agent architectures and memory systems, Go, Vector search and indexing, Data and AI infrastructure concepts, LLM and inference systems, Production SaaS services at scale, Embedding pipelines, Reliability

Agile Methodologies, Cloud Architecture, Technical Leadership, Data Analytics, DevOps Practices, Project Management, Microservices Design, System Scalability

containerization , Microservices, Data architecture principles for AI-ready systems, Vector databases, Semantic search technologies, API design and integration patterns, Agentic design patterns, AI-assisted development practices, Responsible AI practices and governance, Engineering modernization, AI ML technologies and frameworks

Nosql, Java, Support, React, Elk, Splunk, Azure, AWS, applications architecture, Design Development, Gainsight, high-scale high-availability cloud systems

, AWS, Scalability, Microservices, Apis, Saas, Observability, Site Reliability Engineering

Testing Automation, Distributed Systems, System Architecture, SLA, Software Engineering, observability, metrics-driven engineering culture, engineering leadership, SLO, cloud efficiency, CI CD, DORA frameworks