Jenkins, Terraform, Docker, Ansible, Kubernetes, Azure DevOps, GitLab CI, SHIP-HATS framework, CI CD pipelines, security best practices

data wrangling , Pytest, Apache Spark, Prometheus, Grafana, Sql, Azure ML, Git, MLops, Docker, Databricks, Python, Kubernetes, LangFuse, ML GenAI tooling, Analysis and Visualisation, GenAI Ops tools, Llm, Presidio, RAG, LlamaGuard, MLFlow

Java, Golang, Kafka, Terraform, Spark, Python, Kubernetes, Data streaming engineering, AI-related techstack, GitOps, Flink, vLLM, Langfuse, liteLLM

snowflake , Hadoop, Cassandra, PostgreSQL, Apache Spark, Kafka, Redshift, Sql, Google Cloud, Docker, MySQL, MongoDB, Azure, Kubernetes, Python, AWS, LangChain, Airflow, Anthropic, dbt, OpenAI, LlamaIndex

Ml, Gcp, Data Governance, Azure, AWS, Ai, modern data platforms, Data Strategy, cloud ecosystems, AI governance, analytics capabilities

Databricks, Sql, Tensorflow, Rest Apis, Power Bi, Pytorch, Kubernetes, Python, Docker, LangChain, Data Engineering and ETL, Google Cloud Vertex AI, Microsoft Fabric, Prompt Engineering, Semantic Kernel, Git version control, Vector Databases, AWS AI Services, Microsoft Azure AI, Machine Learning fundamentals

Solution Architecture, AWS Cloud Architecture, Building demos, Pre-sales solutioning, Stakeholder collaboration, AWS cloud services, Prototypes

snowflake , Sql, Databricks, ELT, Tableau, Power Bi, AWS, Etl, Python, Data Modelling, Azure, Gcp, Apis, cloud data platforms, data models, semantic layers, Microsoft Fabric, Looker, data pipelines, lakehouse, analytics applications, BI consumption

Java, Vulnerability Management, Spring Boot, Javascript, Docker, Terraform, Openshift, AWS CloudFormation, FastAPI, Kubernetes, Python, AWS, compliance automation, DevSecOps principles, Amazon EKS, Agile development practices, FluxCD, security scanning, ArgoCD