Solution Design, Integration, Programming Languages, Cloud Technologies, architecture

.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

Pyspark, Data Warehouse Architecture, Databricks, Python, Testing, Logging, ERP systems, Cloud-native application design, Data ingestion, Delta tables, Observability, Monitoring

Storage, Gcp, Networking, Containers, Azure, Identity, AWS, Platform services, Cloud troubleshooting, Compute

Soap, Json, REST, Xml, E U on Core data model, FlexCards, Industries CPQ, OmniStudio, Vlocity, Managed Package data model, E U Cloud, OmniScripts, Epc, DataRaptors, Salesforce Industries

data engineering , Tensorflow, Computer Vision, Microservices, Deep Learning, System Architecture, Machine Learning, MLops, AWS, Pytorch, Azure, Gcp, Apis, Nlp, CI CD, integration patterns, Generative AI

data engineering , Java, Hadoop, Cassandra, Scala, Data Science, Gcp, Azure, Python, AWS, Apache Spark™, Ai, R

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