Kire Gochevski

• Real-Time Data Ingestion Platform: Architected a multi-tenant, multi-product ingestion engine leveraging Confluent Kafka, enabling seamless high-throughput data streaming across diverse product lines.

• Database Migration & Integration: Streamlined large-scale data mobility by deploying an AWS DMS platform, utilizing Honeycomb and PagerDuty to achieve deep observability and rapid incident response.

• AI Infrastructure & RAG Architecture: Engineered a sophisticated data processing pipeline for AI initiatives using S3 Landing Zones and AWS Bedrock. Implemented Knowledge Bases, Agent runtimes, and memory persistence to support advanced LLM applications.

• Infrastructure as Code (IaC): Standardized environment provisioning across all cloud resources using Terraform and Python, reducing deployment times and ensuring cross-environment consistency.

Technical Toolkit

• Cloud: AWS (S3, DMS, Bedrock, EKS)

• Messaging: Confluent Kafka, AWS DMS

• CI/CD: Terraform, GitHub Actions, Python

• Observabity: Honeycomb, PagerD

development e-registry database, optimization Stored Procedures, design and implement backup strategy, implement policy based management and central management server, implement maintenance strategy (re-index, cleanup jobs, DB mailing and alerts) etc.