Zoe Steinkamp
Senior Developer Advocate at ClickHouse
Denver, Colorado, United States
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I’m Zoe Steinkamp, a Developer Advocate at ClickHouse, with a strong foundation in front-end software engineering. My mission is to empower developers by enhancing their experience with ClickHouse’s high-performance database and real-time analytics capabilities. I also have a growing interest in data science. In my spare time, I love to travel and tend to my garden. Let’s connect on LinkedIn—I’m eager to exchange insights and knowledge at both virtual and in-person events!
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Unbundling of the Cloud Data Warehouse: Open Source Databases and Data Lakes
In the era of proprietary cloud data warehouses like Snowflake, BigQuery, and Redshift, data teams achieved scalability and convenience but at the cost of performance bottlenecks, soaring expenses, and vendor lock-in. As workloads expanded to include user-facing analytics, observability, and machine learning, the limitations of traditional monolithic architectures became apparent.
This talk examines the unbundling of the cloud data warehouse and the emergence of a modern data stack driven by open source technologies. We will discuss how databases like Postgres and ClickHouse, combined with open data lake standards such as Iceberg, Delta Lake, and Hudi, enable flexible, cost-effective, and high-performance solutions. By replacing traditional warehouses with composable and open architectures, organizations can build systems optimized for their specific real-time analytics and data processing needs.
Building Agents with ClickHouse, Librechat, and Langfuse
This training walks step by step through a hands-on project using the Agentic Data Stack, all running in a single Docker Compose. You’ll explore how ClickHouse, MCP, LibreChat, and Langfuse work together in a ready-to-run setup for building agentic AI systems. We’ll focus on the end-to-end workflow with data ingestion and retrieval in ClickHouse to agent interaction and observability, using a practical, production-inspired project you can run locally. You don’t need to be a ClickHouse expert to follow along. Familiarity with RAG or agent-based systems is helpful, but the stack is designed to be approachable and easy to get started with.
Catalogs, Iceberg, and Delta: Building the Foundation for Lakehouse Analytics
Data lakes promise flexibility and scale—but without real-time capabilities, they risk becoming data swamps. In this session, we’ll explore how ClickHouse integrates with modern lakehouse formats like Apache Iceberg and Delta Lake to unlock real-time, high-performance analytics. You’ll hear how organizations are using these architectures to power faster insights, simplify data ingestion, and reduce query latency. Whether you're building a new lakehouse or optimizing an existing one, you'll leave with practical strategies to turn your data lake into a live analytics platform.
The Rise of AI: Why Soft Skills Matter More Than Ever
As artificial intelligence increasingly automates technical tasks, the demand for soft skills—such as communication, empathy, and collaboration—has never been higher. This lightning talk will explore how AI reshapes the tech landscape, and by design makes soft skills more valuables, even communication with AI itself! In 10 minutes lets focus on cultivating the essential soft skills you need to remain valuable in an AI-driven world where human insight and creativity are even more paramount.
Columnar Storage: Redefining Data Management for the Modern Era
Columnar databases are becoming the preferred choice for data warehousing and analytics, offering efficiency and scalability for large-scale data processing. Unlike traditional row-based databases, which can create performance bottlenecks, columnar storage optimizes data retrieval by organizing information in columns.
In this session, we will explore ClickHouse, an open-source database designed for analytical workloads, and discuss its architecture, which enhances query performance and reduces storage costs. Attendees will learn about best practices for implementation, see real-world customer use cases, and discover additional open-source resources that can help unlock the full potential of their analytics workflows. Join us to see how adopting columnar storage can elevate your data management strategy and drive insightful decision-making in your organization.
How to choose the right database for your application
In this talk, we will review the strengths and qualities of each database type from their particular use-case perspectives. Although having everything in one database seems like the straightforward path, it is not always the most cost or time effective path. Many Databases have become more specialized for the types of data they handle. Learn how to make the right choice for your workloads with this walkthrough of a set of distinct database types (graph, in-memory, search, columnar, document, relational, key-value, and time series databases). Learn about current trends in the database ecosystem and then learn about a number of different specialized databases and their strengths and weaknesses. This presentation will go over some of the fastest growing segments in the database space.
The Room Where It Happens: In-Person Is the Last Unfakeable Thing
The internet has a content problem. AI-generated blog posts, synthetic tutorials, and algorithmically optimized resources are flooding every channel we built our communities on. The signal-to-noise ratio is collapsing, and developers are noticing. As online content becomes cheaper to produce and harder to trust, in-person experience is quietly becoming the cornerstone of connection and information gathering. After 80+ events and tens of thousands of attendees, the pattern is clear: the relationships that drive real adoption and community loyalty almost always trace back to a room, not a piece of content.This talk makes the data-driven case for why showing up in person is the contrarian future, for developers, advocates, and companies alike.
Øredev 2025 Sessionize Event
All things open
In the era of proprietary cloud data warehouses like Snowflake, BigQuery, and Redshift, data teams achieved scalability and convenience but at the cost of performance bottlenecks, soaring expenses, and vendor lock-in. As workloads expanded to include user-facing analytics, observability, and machine learning, the limitations of traditional monolithic architectures became apparent.
Øredev 2024 Sessionize Event
PyBay2024 Sessionize Event
BSidesDen 2024 Sessionize Event
SQLSaturday Denver 2024 Sessionize Event
Coscup 2024
An open source developers conference in taipei
Budapest Data+ML Forum 2024 Sessionize Event
Stir Trek 2024 Sessionize Event
Devnexus 2024 Sessionize Event
Jfokus 2024 Sessionize Event
FooConf #2 Sessionize Event
Porto Tech Hub Conference 2023 Sessionize Event
Current 2023: The Next Generation of Kafka Summit Sessionize Event
UtahJS Conf 2023 Sessionize Event
DevOpsDays Seattle 2023 Sessionize Event
Denver Dev Days
Building Real-Time Applications with InfluxDB and Go
JSNation
Building an IoT App With InfluxDB, JavaScript, and Plotly.js
Denver Dev Day | Spring 2023 Sessionize Event
NDC Oslo 2023 Sessionize Event
Microsoft Build
Talk going over a vision AI demo
Open Source Summit
Application Monitoring panel discussion
DevOpsDays Austin 2023 Sessionize Event
Node Congress
Monitoring, Alerting, And Visualizing your Node.JS server infrastructure with Open Source tools
Devnexus 2023 Sessionize Event
Scale 20x
The Internet of Things (IoT) is increasingly driven by sensor data, with devices taking measured actions based on everything from wind speed and direction, vital body functions, illumination intensity, and temperature. This demo will go into how to monitor your own at home plant and leverage already existing platforms and products.
In this session we will showcase how to build a fully functional sample IoT monitoring application built on the Flask framework and utilizing InfluxDB as its backend. With integrations to visualization libraries such as Plotly, creating automated alerts with InfluxDB as well as data downsampling. Those who are less familiar with IOT devices and monitoring will still benefit from this talk and we will go over the basics so everyone can follow along.
Developer Week SF
Developer Week - Building a IoT Monitoring App with InfluxDB, Python, and Flask with Edge to cloud replication
My virtual talk for developer week 2023
FOSDEM
I did my plant buddy monitoring talk, always popular with the crowd
ODSC West
This is a talk focusing on our tooling for data scientist.
Develop Cisco
This was the talk Unlocking Value From Time Series Data With Open Source Tools, focusing on the power of time series databases for solving problems in the time series space.
Api World
This was my session Serverless functions in InfluxDB Cloud with API Invokable Scripts, focusing on our serverless API's
Data Bricks AI Confrence
An event put on by data bricks, our company is a partner with databricks and we decided to talk about some of our newer features
Scale 19x
My talk was about Unlocking Value from Time Series Data with Open Source Tools featuring our partner AWS
Open Source Summit
A conference focusing on open source software and programs. We showcased how you can build an IOT monitoring system with completely open source software.
OpenJS world
A focus on open source javascript libraries. This lightning talk highlighted our javascript library and its built in tooling.
O11yFest
This session focused on cleaning up open telemetry data for Devops analysis.
ADTMag
This is a web-cast going over an IOT monitoring system.
Denver Startup Week
This was an intro to time series databases for a wide audience at denver startup week
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