snowflake , containerization , Data Warehousing, Docker, Terraform, AWS, Devops, Software Engineering, Gcp, MLops, Spark, Databricks, Azure, Kubernetes, data analytics platforms, BI tooling, AI ML systems, Cloud and DevOps, CrewAI, LangChain, People and Performance Management, Looker, AutoGen, infrastructure-as-code, dbt, CI CD pipelines, AI Agentic AI

Java, Golang, Docker, Kubernetes, AWS, Microservices, Cloud-native architecture

Agile Development Methodologies, Solid Principles, Mariadb, Kubernetes, Software Development Life Cycle, Docker, People Management, Clean Code, Code Reviews

.Net Core, Google Cloud Platform, Microservices, React, Typescript, Javascript, Docker, Rest Apis, Azure, Kubernetes, Python, AWS, DevSecOps practices, AI-assisted software development tools

data engineering , Oauth, Cloud security, Cloud Technologies, Data Warehousing Concepts, Identity Management, Sso, Software Engineering, Agile Development, Data Modelling, Master data management, Data technologies landscape, ETL processes, Customer 360 degree views

data engineering , Kafka, Azure Data Factory, Azure Synapse Analytics, Spark, Databricks, Dax, Python, Azure DevOps, Purview, R, Microsoft Fabric

Apis, Salesforce, Agile DevOps, CI CD, Microservices architecture

Coding Standards, Ci, Testing, Agile Development Methodologies, code reviews, Scm, Scrum Master experience, build processes, software engineering best practices, operations

, Identity Management, Agile Development, Data Warehousing, Oauth, Data Modelling, Cloud security, Software Engineering, Cloud Technologies, Sso, ETL processes, Customer 360 degree views, Master data management, Data technologies