Projects · 11 case studies
What I’ve designed, built, and operated as a Forward Deployed Engineer at Rill Data. No customer names, just the engineering.
Skills across these projects ·ClickHouse · Kubernetes · Helm · GitOps · Distributed Databases · Model Context Protocol (MCP) · Database Performance Tuning · Cost Optimization · AI Agents · Legacy System Migration · Data Migration · Apache Druid · Customer Onboarding · Stakeholder Management · Apache Kafka · Apache Beam · Google Cloud Dataflow · Stream Processing · Snowflake · Reverse ETL · Data Lakehouse · Data Quality · Query Optimization · Schema Design · Data Modeling · LLM Integration · FastAPI · Incident Management · Python · Observability · Site Reliability Engineering · SLOs · Go · Open Source · Data Engineering · Distributed Systems · Single Sign-On (SSO) · Row-Level Security · Technical Documentation · Performance Testing · k6 · Benchmarking
A self-hosted, multi-tenant ClickHouse platform on Google Kubernetes Engine that runs 14 production ClickHouse clusters for enterprise real-time analytics, as part of a 2+ PB OLAP fleet.
An MCP-based AI toolkit that lets Claude Code audit and optimize ClickHouse clusters across the fleet, finding the columns, tables, and queries that drive storage and compute cost and tracing each one back to the data model that created it.
Led migrations of enterprise customers from a legacy analytics platform and older pipelines to the new Rill application, moving data, metrics, and dashboards without disrupting daily reporting.
Streaming and batch pipelines that ingest high-volume programmatic-advertising data (bid requests, wins, impressions, and auctions) into Apache Druid and ClickHouse for real-time analytics.
Migration paths that move analytics data from Snowflake and lakehouse tables into ClickHouse and Apache Druid, and back out through reverse ETL, with automated checks that confirm the numbers match at every hop.
Re-architected a high-volume ClickHouse analytics workload around tiered projections, directory-based partitions, and tuned compression, which stopped out-of-memory dashboard failures and cut storage and compute.
A production AI on-call agent that turns monitoring alerts into triaged, deduplicated tickets and Slack updates, so engineers start from a diagnosis instead of a raw alert.
The observability layer for a 30+ cluster, 2+ PB ClickHouse and Druid fleet: templated monitoring dashboards, data-freshness alerting, SLOs, and a usage-billing pipeline that shows customers exactly what they consume.
Designed the incremental ingestion strategy for the ClickHouse driver in Rill, an open-source real-time BI platform, which became the foundation for ClickHouse data modeling in Rill.
A reusable blueprint for onboarding enterprise customers to Rill in days instead of weeks: SSO, role-based access and row-level security, scoped cloud-storage access, GitOps project templates, and agent-ready repos.
A containerized k6 load-testing harness on Kubernetes that replays realistic dashboard query traffic against Rill and its OLAP backends, plus benchmarks for comparing engines, schemas, and cluster sizes.
Public repositories: the platform I help build, plus tools and examples I’ve published.
Open-source, real-time operational BI on ClickHouse, Druid, and DuckDB.
Agent skills that let Claude Code and Cursor develop, query, and debug Rill projects.
Idempotent incremental ingestion into ClickHouse with Rill, as a runnable example.
Programmatic-advertising bid logs analyzed with the OpenRTB framework in Rill.
A CronJob Kubernetes operator in Go, built with Kubebuilder, with a step-by-step guide.
Automatic discovery of Kubernetes services as Prometheus scrape targets.
08 · Contact
If something here resonates, whether it’s a data problem, an idea, or a conversation worth having, I’d love to hear from you. The fastest way to reach me is a message on LinkedIn.
Good reasons to reach out
Data platform help
ClickHouse or Druid performance, Kubernetes operations, migrations, and cost reviews.
Collaboration
Open-source work, writing, talks, or comparing notes on a hard data problem.
Just to talk shop
Real-time analytics, AdTech data, MCP and agent tooling, or life as an FDE.