Python, Databricks, Sql, Pyspark, Unit Testing, Terraform, Git, Azure DevOps, Azure Data Factory, Integration Testing, Spark SQL, Kubernetes, Docker, Apis, Jenkins, Data Modelling, Fabric Pipelines, Snowpark, dbt, Semantic Data, Modern Data Platforms, CI CD, Enterprise Orchestration Tools, Data Pipeline Testing, Databricks Workflows, Policy-as-Code, Microsoft Fabric, Infrastructure-as-Code, Cortex AI, Cloud ecosystems

Servicenow, SAP, Typescript, Javascript, Docker, Netsuite, Oracle, Python, AWS, ipaas, Apis, Node.js, Boomi, Workday, Workato, Gcp, Mulesoft, Distributed Systems, Azure, Kubernetes, Agent orchestration, Vibe coding, Open-source models, Agentic frameworks, Integration patterns, Salesforce, LLMs, Anthropic, Zapier, merge, OpenAI

Model Context Protocol (MCP), Containers, Data Modeling, Typescript, Cloud Infrastructure, Javascript, Python, Aws Lambda, Graphql, Systems Integration, Sql, Prompt engineering, Schema alignment, Graph data structures, Function calling, LLMs, DevOps practices, Data Mapping, Applied AI, Google Cloud Functions, RAG, Observability tools, Webhooks, CI/CD, Evals

Ml, Distributed Systems, Containers, Typescript, Python, Kubernetes, GenAI, SRE Practices, Go, Cloud-native Architectures, Infrastructure Engineering, Resiliency Design, System Observability

Orchestration, Apis, Marketing Automation, Sql, Typescript, Linux, Python, networking fundamentals, retrieval-augmented generation, cloud platforms, Agents, real-time voice, Telephony, LLM application architecture, guardrails, contact centre systems, tool calling evaluation, CRM

Unix, Pyspark, Prometheus, Apache Spark, Artifactory, Grafana, Jenkins, Git, Bitbucket, Docker, Linux, Ansible, Sonarqube, Dynatrace, Kubernetes, Python

Python, cloud platforms, vector databases, security best practices, infrastructure as code, RAG architectures, prompt engineering

Java, Neo4j, Postgres, Spring Boot, Sql, Python, LLMs, Spring with XML configuration