react.js , Yaml, Data Modelling, Maven, PostgreSQL, Node.js, Json, Microservices, Jenkins, Git, Swagger, Elasticsearch, Containers, Rest Apis, Kubernetes, cloud-native architecture, distributed-system architecture, CI/CD, Java Spring Boot, OpenAPI, observability

snowflake , Power Bi, Apache Spark, Dimensional Modeling, Tableau, Apache Airflow, Data Quality, Databricks, Data Warehousing, Data Governance, Lakehouse Architecture, ETL ELT, Medallion Architecture, Data Ingestion and Integration, AWS Data Services, dbt, Semantic and Data Consumption Layers, Azure Data Services, Data Orchestration

.NET, messaging platforms , Enterprise Java, BPM, Apis, CSS, Big Data, File Systems, RDBMS, Html5, Rest Apis, Data Integration, Azure, Python, Kubernetes, AWS, Etl, Graph DBs, event processing, low-code hyper automation, Vector DBs

Python, Sql, Inventory Optimization, S&OP, R, Demand Planning, o9 tool implementation, Supply Planning

containerization , Aws Services, AWS CloudFormation, Kubernetes, Docker, Terraform, cloud-native architectures, agentic frameworks, prompt engineering principles, Java or another enterprise programming language, AI ML capabilities, DevOps practices, microservices architecture, CI CD pipelines, Application Security principles

Devops, Google Cloud Platform, Automation Frameworks, Microsoft Azure, AWS, GenAI, Infrastructure modernization, Enterprise cloud transformation, Cloud AI, Cloud-native services

.NET, .Net Core, Java, Golang, Graphql, Spring Boot, AI ML, Angular, React, Vue.JS, MLops, Gcp, Docker, Blazor, Restful Apis, Azure, Kubernetes, Python, AWS

data engineering , Sql, Java, Apache Spark, Data Science, AWS, Python, Azure, Gcp, Scala, Databricks Data Intelligence Platform, MLflow, GenAI, Delta Lake, R, Unity Catalog, Lakehouse architectures

Apis, Node.js, Microservices, Tensorflow, Devops, Pytorch, Gcp, Distributed Systems, Azure, Python, AWS, cloud architectures, Scikit-learn, ML model deployment, ETL pipelines

snowflake , Gen AI frameworks (LangChain, MLOps tools (MLflow, RAG pipelines), Kubeflow), Sql, Databricks, Data Modeling, NoSQL databases, Vector databases, LLM integration, AI agents, Modern data stack tools, AI/ML architectures