Json, Microservices, Xml, Rest Apis, Audit and regulatory compliance, CRM platforms, core insurance platforms, Payment Gateway solutions, event-driven architectures, Resilience, GL Finance systems, Observability monitoring, Security Architecture, AWS Data Lake, Lakehouse, Kafka streaming platforms, enterprise-scale integration architecture, Fraud management systems, Performance scalability

.NET, observability fundamentals - MELT, Java, Node.js, Python, telemetry ingestion, Kubernetes observability, performance overhead telemetry, Kubernetes networking, APM internals, ITSM ecosystems, FinOps alignment, OpenTelemetry, AI ML in observability, eBPF, observability data models

bi architecture , Data Modelling, Power Bi, Uat, RAID management, Sprint Planning, Agile, Sit, data pipelines, semantic models, go-live, Stakeholder Management, cloud data platforms, SQL Endpoint, Lakehouse Warehouse, waterfall delivery, Microsoft Fabric, Deployment, hypercare

containerization , complex event processing , Mqtt, Kafka, Google Cloud, Microservices, Spark Streaming, Docker, Kubernetes, DevOps practices, Cloud platforms, AWS IoT, In-memory computing, Azure Digital Twins, ScaleTwin, Digital Twins, ScaleOut, stateful applications, Real-time data architectures, NVIDIA Omniverse, OPC UA, Azure IoT Hub, Digital Twin platforms and frameworks

S3, Aws Lambda, Vpc, Iam, Python, Api Gateway, Step Functions, prompt engineering, AWS AI ML stack, Amazon Q, foundation models, Amazon Bedrock, fine-tuning techniques

Cloud Architecture, Data Modeling, Big Data, Api Development, Machine Learning, Data Warehousing, ETL Processes