data engineering , cda , Sql, Metadata Management, Python, Apis, Hl7, Ccda, Spark, FHIR, interoperability, Knowledge graphs, Cloud-native data platforms, DataOps, Vectorized data assets, Feature stores, Event-driven integration, X12, Governance controls

product strategy , user experience, Machine Learning, trust and model performance, cross-functional leadership, Stakeholder Management, analytics ecosystems, evaluation frameworks for AI quality, AI analytics, Engineering, roadmaps, outcome-based success metrics, conversational interfaces, Generative AI, knowledge management solutions, enterprise data platforms, developer-focused products

Xpath, Power Bi, Advanced Excel, Tableau, Json, Xsd, Xslt, Sql, Git, Dtd, Javascript, Html5, Xml, Rest Apis, Python, JSON-LD

Marketing Automation, Gcp, Salesforce Marketing Cloud, Predictive Analytics, Azure, Computer Vision, AWS, Meta, Google, Generative AI, AI Agents, AI Governance, TikTok, Linkedin, Cloud Platforms, Adobe, Digital Advertising, CDPs, Multimodal AI, Prompt Engineering, Google Marketing Platform

Software Architecture, Artificial Intelligence, Deep Learning, Python, Design Patterns, Machine Learning, high-performance computing

Docker, Image Processing, Pytorch, Cuda, Computer Vision, Tensorflow, Python, Apptainer, Scikit-learn

data engineering , Machine Learning, Cloud Devops, MLops, Gcp, Terraform, Azure, Kubernetes, AWS, Generative AI, Infrastructure as Code, RAG systems, data integration pipelines