data engineering , Big Data Technologies, Microservices, MLops, Docker, Distributed Systems, Kubernetes, Python, Infrastructure as Code, Vector databases, Data-intensive applications, OpenSearch, EKS, Containerized application development, Cloud Data engineering services, LLM technologies

.Net Core, Github, ARM Templates, Kafka, Azure Logic Apps, Angular, Microservices, Terraform, Reactjs, Zookeeper, Azure DevOps, API-driven microservices, Azure Native services, Azure CI

data warehouses , Data Structures, Sql, ELT, MySQL, Sql Tuning, Python, Etl, Data Manipulation Techniques, Data Lakes, data marts, Distributed Data Platforms, Relational Algebra, Object-Oriented Programming

Sql, Tensorflow, Numpy, Nlp, Git, Pytorch, Pandas, Gcp, Docker, Python Programming, Azure, AWS, Computer Vision, Generative AI, LLMs, Scikit-learn

Sql, Python, R, Data visualization and analytics tools

Data Warehousing Concepts, Sql, business intelligence, AWS cloud technologies, reporting data analysis, data engineering concepts, ETL processes, Python programming language, database querying techniques

Python, Data Analysis, LLMs, AI models

Tensorflow, Pytorch, Python, sequence-based models, RAG pipelines, scikit-learn, fine-tuning, embeddings, collaborative filtering, statistics modeling, ranking recommendation systems, experimentation, user behavior modeling, prompt engineering

Tableau, Data Warehousing, Javascript, Rest Apis, Sql, Python, Etl