Johann T.

I design, build, and run the cloud and data platforms that AI applications depend on. With 25+ years in data engineering and infrastructure, I cover the full stack: cloud or on-premise architecture, high-throughput data pipelines, database performance, SRE, and production AI agents. Recent work: • Cloud & SRE (AWS): Leading SRE for a mobile device management platform running on AWS (EC2, RDS, ECS Fargate, Redshift, ALB, S3). I handle upgrades, documentation, cost-effective monitoring and alerting, and reliability for MongoDB, RabbitMQ/MQTT, and Dockerized services. • Data Engineering at IoT Scale: Architecting Kafka-based pipelines for a LoRaWAN/IoT network operator. This covers payload decoding, consumer-group and offset management, PostgreSQL migration procedures with retry logic, multi-tenant MQTT (EMQX) integration, and operator monitoring. I also recovered a 6-node Cassandra production cluster and planned its move to a time-window compaction strategy. • AI Engineering: Building voice agents, chat agents, document processing, and CRM integrations with n8n, Pipecat/LiveKit, and LLM APIs. These are production systems on self-hosted infrastructure, not demos. Core expertise • Cloud: AWS, GCP, Azure; Linux, Docker, WireGuard/Tailscale, infrastructure automation • Data: Kafka, PostgreSQL, MySQL, Cassandra, ScyllaDB, MongoDB, Redshift, DynamoDB, Cosmos DB; ETL, data warehousing, Power BI • AI: LLM-powered agents, RAG, workflow automation, voice AI, MCP integrations • SRE: Monitoring and alerting (Prometheus/Grafana), incident recovery, capacity and cost optimization • Languages/Tools: Python, SQL, SQL, Typescript/Next.js Recognition: 2012 Top MySQL Server Expert (Experts-Exchange). I work best with teams who need a senior engineer to own an infrastructure or data problem end to end: diagnose it, fix it, document it, and set up monitoring so it stays fixed.