GenAI LLM Stack experience, Cloud-native applications AWS Azure, API gateways, Event-driven architectures Kafka, Engineering practices knowledge, Distributed caching CDN, Full Stack development expertise, Systems design microservice architectures, Enterprise observability architectures

Java, Solr, Elasticsearch, PowerShell, Lucene, automation, Open Search, object-oriented programming, SQL dialects

Orchestration, Data Quality, Spark, Kafka, Databricks, AWS, streaming processing, Airflow, lakehouse technologies, data ingestion

Java, C, Javascript, Python, Agile tracking and process management tools

Kafka, Distributed Systems, Apis, microservices architectures, modern data platforms, modern engineering practices, intelligent automation, enterprise integration patterns, event-driven systems, cloud-native architectures, AI-enabled workflows, enterprise APIs, financial automation platforms

Java, Github, Spring Boot, Datadog, Microservices, Angular, Terraform, Docker, Flutter, FastAPI, Restful Apis, Python, AI tools and LLMs, EKS, Faust, Relational Databases, ArgoCD

snowflake , containerization , Databricks, Devops, Data Warehousing, Gcp, Terraform, Edi, Mulesoft, AWS, Kubernetes, Azure, Docker, AWS API Gateway, Spark, Looker, AI ML systems, Azure API Management, dbt, Agentic AI frameworks, LangChain, CrewAI, CI CD pipelines, EHR EMR integrations, infrastructure-as-code, BI tooling, data analytics platforms, AutoGen, API gateways, MLOps practices

data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines

C, Python, Cross-compilation toolchains, RTOS environments, Systems engineering requirements management, Linux-based embedded systems