data warehouses , Data Quality, Data Modeling, Sql, ELT, Gcp, Azure, Python, Etl, AWS, Semantic models, Data applications, Data integration layers

containerization , Delivery Leadership, Apis, Microservices, DevSecOps, full stack architecture, Generative AI, ML AI services, back-end services, Consulting, governed data platforms, predictive model endpoints, CI CD, responsive front ends, enterprise integrations, RAG vector search, integration patterns, infrastructure as code, AI-enabled applications, observability, real-time workflows

.Net Core, .Net Technologies, C#, Web Api, Agile Methodologies, Sdlc, risk management, AI-powered development tools, issue resolution, Scrum practices, software engineering principles, Escalation Management, ASP.NET Core, dependency tracking, delivery metrics

CI/CD tools (Jenkins), AWS ML ecosystem (Bedrock, Language Models (LLMs), API Gateway), Dynamodb, Lambda, Json, Xml, Rest Apis, Python, Prompt engineering, search algorithms, CromaDB, PGVector, SageMaker, Vector stores, Cloud-native architectures, FAISS, Transformers, Agentic frameworks, Prompt management

.NET, Microservices, Web Api, modern front-end technologies, ASP.NET Core, cloud-native

Computer Networks, Github, Google Cloud Platform, Cyber Security, Jira, Devops, Git, DevSecOps, Software Engineering, Microsoft Azure, Helm, Kubernetes, Azure DevOps, AI-enabled Systems, AHA.io, API Management Solutions, SRE Principles, Automation Pipelines

.NET, C#, Database Design, Typescript, Node.js, Distributed Systems, Microservices, IaC pipelines, CI/CD

Kafka, Encryption, Distributed Systems, Backup And Recovery, Cloud Infrastructure, data platforms, Operational Risk, Disaster Recovery, Flink, data residency, Security, reliability engineering, Compliance, tenant isolation

Reactjs, AWS, Java, Microservices, Kubernetes, Golang, Docker, Cloud-native architecture