Unix, Gcp, MLops, Linux, Pyspark, Spark, Azure, Python, AWS, CI CD pipeline, Model deployment

Agile Development, Tensorflow, Pytorch, MLops, Python, Machine Learning Algorithms, generative AI applications, software engineering best practices, Data Processing, model training, generative AI concepts, Agentic AI, feature engineering, responsible AI practices

data engineering , S3, Big Data Technologies, MLops, Docker, Cloud Services, Kubernetes, Python, Etl, Infrastructure as Code, EKS, Containerized application development, Glue, Athena

data engineering , snowflake , Ml, Azure Data Factory, Devops, Pyspark, Power Bi, Azure Databricks, Automation, Python, Azure, Denodo, Azure DevOps, YAML pipelines, Azure Cognitive Services, Azure Key Vault, Snowpark, Ai, ADLSv2, Azure App Services

data engineering , Kubernetes, Big Data Technologies, S3, MLops, Etl, Cloud Services, Python, Docker, EKS, Athena, Infrastructure as Code, Glue, Containerized application development

Numpy, Pytorch, Artificial Intelligence, Python, Tensorflow, Pandas, Git, Machine Learning