BigQuery, Terraform, Python, Kubernetes, Sql, GKE, Vertex AI, Machine Learning concepts, model evaluation metrics, model monitoring tools

data engineering , Api Integration, Data Modeling, Sql, ELT, Data Quality, Workflow Design, Python, Etl, LangChain, Tool Calling, AI Service Integration, Agent Orchestration, Document Processing, LangGraph, RAG Data Pipelines, RAG, Scalable AI Deployments, Cloud native Development, AI Coding Assistants, LLM development, Prompt Engineering, LLM Data Integration

Windows .bat, PYTHON, Java, Bash, Perl, Github, Gradle, Git

.NET, snowflake , Google Kubernetes Engine (GKE, Okta, Compute Engine, Cloud Storage, Solid Principles, React, Performance, Angular, SQL Server, Microservices, DevSecOps, Mulesoft, App Engine, Kubernetes, GCP services, Cloud-native development, Gemini Enterprise, API-first, Event-driven, Production-readiness, Cloud Functions, Reliability, Applications architecture design patterns, CI/CD, Observability

Apache Airflow, Pyspark, Dataproc, Informatica, Talend, Python, Sql, Big Query, NoSQL databases, data warehousing solutions, Google Data Engineering services

Pyspark, Databricks, Python, Azure DevOps, Databricks SQL, Azure Data Lake Store, Databricks Unity Catalog, Databricks Workflows