data preparation , DataEngineer, Feature Engineering, Model Deployment, Senior Data Engineer with AI/ML, S3 Glue EMR Redshift Lambda, ? AWS SageMaker experience, ? Kafka or Kinesis for real-time streaming, ? MLOps and CI/CD for ML pipelines, ? Power BI integration with cloud-based data platforms and large-scale datasets

AWS, Sql, Java, Python, Nosql, Azure, Gcp, Typescript, React, Javascript

Typescript, React, Node.js, MySQL, FastAPI, Python, Docker, PostgreSQL, Javascript, Next.js, RAG pipelines, GitHub Actions, Pydantic, vector databases, Drizzle ORM, Docker Compose, Railway

Java, Github, Sql, Nosql, Nlp, Hive, Software Architecture, Python, Machine Learning Algorithms, LangChain, AI ML governance, Generative AI, PySpark-dataframes, AI ML models, CI CD pipelines

Prometheus, Grafana, Terraform, Docker, Devops Tools, AWS CodePipeline, Python, PowerShell, Bash, Jenkins, Cloudwatch, Ansible, ECS, AWS CloudFormation, Kubernetes, AWS Infrastructure Services, Infrastructure as Code, CloudTrail, Code Build, EKS, Argo CD, Fargate, Helm Charts, CI CD pipelines, Azure Code Deploy

python, Javascript, Jira, node.js, Agile Scrum, AI Business Services, generative AI features, BPA technologies, AI technology stack, SAP Intelligent RPA, SAP Analytics Cloud, Kanban, BTP

.NET, Java, S3, Web Api, PostgreSQL, SQL Server, Spring Boot, Elastic Beanstalk, Azure Sql, Spring, Numpy, Lambda, Pandas, MySQL, Flask, ASP.NET, MongoDB, FastAPI, Cosmos DB, Oracle, Python, AWS

AI and Machine Learning algorithms, AI platforms, RAG neural networks