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

snowflake , Power Bi, Veeva Crm, Informatica, Sql, Python, Payer Data, Veeva Network, Definitive Health Care data, Veeva Open Data, Reltio, MDM tools and systems, Veeva Align, OneKey

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

Java, Power Bi, PowerShell, Azure Databricks, Sql, Spark, Dax, Python, Azure Data Factory, Data Modeling, Data Warehousing, Etl, ELT, R, Delta Lake, Azure Data Lake Storage

Tensorflow, Pandas, Gcp, Pytorch, XGBoost, Azure, Python, Sql, AWS, scikit-learn

AWS EKS, AWS, Amazon GuardDuty, AWS Organizations, AWS WAF, AWS Trusted Advisor, Amazon Lambda, AWS Firewall Manager, AWS Networking

Tensorflow, Pandas, Gcp, Pytorch, XGBoost, Azure, Python, Sql, AWS, scikit-learn, data visualisation tools