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

Gdpr, Hipaa, Microservices, Nlp, Docker, Terraform, Agile, Scrum, Authentication, Apis, Api Integration, MLops, Data Governance, Azure, Kubernetes, GenAI, data pipelines, security principles, service-oriented architecture, Authorization, data encryption, model fine-tuning, ARM template, LLMs, AKS, prompt engineering

snowflake , Hadoop Ecosystem, Power Bi, Pyspark, Kafka, Tableau, Sql, ELT, Gcp, Qlik, Spark, Databricks, Azure, Python, Etl, AWS, Azure Event Hub, AWS Kinesis

Wireless Networking, Network Architecture, Unified Communications, Enterprise Networking, Structured Cabling

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

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