data engineering , BigQuery, Python, Sql, Google Cloud, Data Lineage, Data Warehousing, Data Governance, Agentic AI, AI-powered data solutions, Microsoft Azure data stack

Dynamodb, Databricks, Sql, Apache Airflow, CDK, AWS Glue, Apache Spark, Kinesis, Postgres, Kafka, MLops, AWS, Cassandra, Nosql, Python, Terraform, MongoDB, MLflow, Flink

Kafka, Sql, Gcp, Spark, Databricks, Azure, Python, AWS, Airflow, Unity Catalog, infrastructure-as-code, dbt, Delta Lake

triton , Docker, FastAPI, Restful Apis, Python, Kubernetes, Nosql, Pytorch, Big Data, Sagemaker, document databases, TensorRT, ML technologies

Machine Learning, Distributed Systems, Tensorflow, Pytorch, Predictive Analytics, Python, Big Data, Clustering, Deep Learning, MLops, Spark, GenAI, Telemetry Analytics, Data Pipelines, Random Forests, MLflow, Vector Databases, Time-Series Forecasting, AIOps, LLMs, Production AI Systems, anomaly detection, Cloud Data Architecture, Statistical Modeling

snowflake , Docker, DevSecOps, MLops, Databricks, Kubernetes, AI Governance, Zero Trust Architecture, API Gateways, Azure OpenAI, Azure AI Foundry, LangGraph, AI Operations, cloud-native architectures, CrewAI, Generative AI, Platform Engineering Practices, Agentic AI frameworks, LLMs, Anthropic, Agentic AI Frameworks, OpenAI Agents, Semantic Kernel, AutoGen, Security by Design, OpenAI, Gemini, Open Source Models, Responsible AI Frameworks

Java, Machine Learning, Distributed Systems, C, Javascript, Scala, Apache Spark, Big Data, Python, Deep Learning

snowflake , Kafka, Data Modeling, Kinesis, Terraform, AWS, Cloudformation, Sql, Gcp, Data Governance, Databricks, Azure, streaming tech, MLflow, IaC, Pub Sub, Kubeflow, MLOps tools, RAG pipelines, LangChain, Gen AI frameworks, NoSQL databases, cloud platforms, AI ML architectures, security and compliance frameworks