Distributed Systems, Hadoop, Phoenix, Kafka, HBase, Hive, Gcp, Presto, Spark, MongoDB, Azure, AWS, Airflow, NoSQL datastores, BigData open source technologies, Data processing techniques in big data

snowflake , Java, Spring Boot, API design, Data Modeling, Postgres, automation, Azure, Kubernetes, Reliability, infrastructure-as-code, observability

AWS, Java, Python, Spring, Intellij, Container-based testing environment, Large system architecture design

Java, Springboot, Mq, Linux, Containers, Kafka, Aws Cloud, OCP4

snowflake , Java, Spring Boot, API design, Data Modeling, Postgres, automation, Azure, Kubernetes, Reliability, infrastructure-as-code, observability

graph databases , Continuous Integration, Pyspark, Test Driven Development, Angular, React, Neo4j, MySQL, Scaled Agile, Postgres, Python, AWS, Agile Methodology, Scrum, Sql, Spark, Restful Services, Databricks, JanusGraph, vector databases, Pinecone, Neptune, specification by example, LLMs, Anthropic, Teradata, Milvus, OpenAI

Ml, Kafka, Gcp, MLops, Spark, Databricks, Azure, AWS, digital twin technologies, enterprise data platforms, real-time analytics pipelines, Ai, AI ML predictive analytics, IoT sensor integration, Data, IIoT platforms, cloud-native data ecosystems, data lakes, machine learning model deployment, DataOps, GenAI applications, automation technologies, streaming architectures

react.js , Java, Kafka, Spring Boot, Microservices, Elasticsearch, Devops, Typescript, Docker, Microsoft Azure, Kubernetes, Generative AI, Infrastructure as Code, Prompt engineering, LLMs, Vector databases, Pinecone, Azure OpenAI, CI CD, FAISS, RAG architectures