Azure ML, Azure Data Factory, Azure Data Lake, Databricks, Azure, Azure DevOps, LangChain, Synapse, ML pipelines, Orchestration framework, CI CD pipelines

Cloudwatch, S3, Aws Services, Lambda, Bash, Python, Docker, MLflow, Amazon SageMaker, Step Functions, CodePipeline, ECR, DVC

Python, Aws, Github, S3, Lambda, ECR

Yaml, Json, Lambda, Shell, Terraform, Python, Azure DevOps, AWS, Cloudformation, Iam, Data Governance, Databricks, Helm, Azure, Kubernetes, GitOps, MLflow, CI CD, Unity Catalog, EKS, ACR, ADLS, Delta Lake, infrastructure as code

Pytorch, Docker, Terraform, Python, Devops, MLops, Databricks, FastAPI, Kubernetes, GenAI, AWS cloud services, MLflow, Delta Live Tables, LangGraph, large language models, RAG pipelines, CrewAI, LangChain, Feature Store, TensorFlow Serving, canary releases, Asset Bundles, shadow deployment, Unity Catalog, prompt engineering, AutoGen

containerization , Azure ML, Distributed Systems, Etl, Arm, Kubernetes, Pyspark, Python, Docker, Terraform, Scala, Bicep, feature engineering, data architectures, infrastructure automation, ML workflows, Data Analytics tools, DevOps practices, CI CD pipelines, MLOps tooling

Cassandra, Grafana, Docker, Terraform, Python, AWS, Java, Rust, Scala, Apache Spark, Gcp, Gitlab, Splunk, Kubernetes, Airflow, Data dog, Pinot, Go, Flink, Trino, MLFlow, ATLAS, Luigi, Vector database, Iceberg, Jupyter Notebooks, Spinnaker, Data Catalogs

cml , S3, Machine Learning, Bash, AWS Fargate, Tensorflow, Numpy, Lambda, Pytorch, Pandas, Docker, Sqs, Sns, Keras, Python, Computer Vision, AWS services and products, Ai, DVC, NLBs, Caffe, ALB, Linux utilities