Distributed Systems, AWS, Azure, Gcp

data monetization , MLops, Data Governance, Kubernetes, AWS, API-first design, MCP servers, Data Mesh architecture, chaos resilience testing, cloud-native Data Platform services, IaC, agentic services, data streaming stacks, SDD, Gen AI solutions, observability

Python, Kubernetes, AWS, Infrastructure Management, CI/CD

Google Cloud, Tensorflow, Pandas, Pytorch, Microsoft Azure, Keras, Python, AWS, GANs, AI Architecture, Generative AI, RNNs, cloud platforms, deep learning architectures, CNNs

web performance , Graphql, API design, React, REST, Typescript, Distributed Systems, deployment strategies, Design systems, Container orchestration, Cloud-native development, accessibility best practices, service-oriented architecture, reusable UI components, component-based architecture, CI CD pipelines, release automation, containerized environments

Iib, Mq, Scrum, Kafka, agile development processes, B2B EDI technologies, messaging and integration technologies, IBM Sterling, Axway B2Bi, File transfers

data engineering , Kafka, Azure Data Factory, Azure Synapse Analytics, Spark, Databricks, Dax, Python, Azure DevOps, Purview, R, Microsoft Fabric