data engineering , graph databases , Java, Machine Learning, Automated Testing, Cloud Infrastructure, Devops, React, Ruby On Rails, Gcp, Docker, Neo4j, Azure, Kubernetes, Python, AWS, API-first Architectures, Ai, CI CD, Agile Delivery Practices, Amazon Neptune

C, Fpga, Ipmi, Gdb, Uart, Spi, Gpio, Linux, Pcie, Bmc, I2c, Python, Redfish, sonic, KGDB, ONIE

Devops, Linux, Distributed Systems, Cloud Infrastructure, Python, Network Operating Systems, Go, sonic

snowflake , Gcp, Solution Design, Databricks, Azure, AWS, product roadmap ownership, data-driven products, LLMs, data platforms, Ai, MLOps pipelines, Analytics, hyperscalers, market launch, accelerator design, GenAI architectures, product innovation, AI ML frameworks

Gcp, Distributed Systems, Kubernetes, high-throughput platforms, architectural oversight, Go, scalable APIs, design leadership, backend software development

Java, Git, Squish, Selenium, Python, Software Test Design

Java, React, Kafka, Spring Boot, J2EE, Restful Apis, Kubernetes, Sql, NoSQL databases

Java, Kafka, Microservices, Hive, Gcp, System Design, Spark, Azure, Python, Trino, Airflow, Pinot, Query engines, AI Ops, DevOps practices, WCNP, Druid, ML Ops, Agentic AI, Distributed computing frameworks, Cloud native distributed system development, Observability tooling

.NET, data engineering , Dynamics 365, Power Automate, Power Platform, Data Warehousing, SQL Server, Angular, Powerapps, React, Javascript, Netsuite, Integration, Microsoft Technologies, Etl, Azure DevOps, Dataverse, custom application development, modern SDLC practices