Senior Software & Data Engineer with 9+ years of experience specializing in high-throughput distributed backend architectures, streaming data pipelines, real-time search platforms, and AI agent infrastructure.
Currently building resilient core banking microservices and real-time payment streaming pipelines
- 🏦 Enterprise FinTech & Banking: 9+ years across ANZ Bank, JP Morgan & Chase, and Endowus architecting mission-critical microservices and event-sourced systems.
- 🚀 Sub-Millisecond Search Latency: Designed Elasticsearch architectures achieving < 2ms query response times over high-volume enterprise datasets.
- 📊 High-Throughput Streaming: Engineered ETL pipelines in Apache Spark, Kafka, and Airflow, optimizing data processing speed by 40%.
- 🤖 AI Infrastructure & MCP: Building Model Context Protocol (MCP) gateways, local LLM browser integrations, and tool-execution annotation systems for agentic workflows.
- 🛡️ Resilient Cloud & Observability: Migrated core systems to Kubernetes with automated CI/CD, maintaining 99% system uptime across distributed environments.
| Category | Technologies & Tools |
|---|---|
| Languages | Java, Python, TypeScript, Rust, Scala, Kotlin, SQL, Bash, Groovy |
| Backend & Microservices | Spring Boot (WebFlux, Data, Cloud Stream), Axon Framework (CQRS/ES), Node.js, Express.js, Next.js |
| AI Infrastructure & Agents | Model Context Protocol (MCP), Local LLMs, AI Agent Advisors, Tool-Hinting Infrastructure |
| Data & Streaming | Apache Kafka, Apache Spark, Apache Airflow, Snowflake, Cassandra, PostgreSQL, Oracle DB, Google Cloud Spanner, Redis |
| Search & Analytics | Elasticsearch, Apache Solr, SpaCy (NLP) |
| Cloud & DevOps | AWS, Google Cloud Platform (GCP), Kubernetes, Docker, Terraform, CircleCI, Jenkins |
| Observability | Dynatrace, Splunk |
- Event-Driven Microservices: Designing reactive, event-sourced architectures with Spring Boot, Axon Framework, and Apache Kafka.
- Cloud Data Engineering: Engineering streaming and batch ETL data pipelines processing high-volume datasets into Snowflake and cloud data warehouses.
- Enterprise Search & NLP: Building sub-second search platforms using Elasticsearch, custom analyzers, and SpaCy NER APIs.
- AI & Agentic Systems: Developing custom MCP servers, model gateways, and local AI extensions to power agentic developer tools.
- Cloud Infrastructure & DevOps: Containerizing enterprise workloads and setting up GitOps / CI/CD delivery on AWS, GCP, and Kubernetes.
- 💼 LinkedIn: linkedin.com/in/barantheva
- 🎯 Domain Focus: Distributed Systems | Event-Driven Architecture | AI Infrastructure & MCP | Data Engineering