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Design and automate scalable data storage infrastructure using PostgreSQL, MongoDB, ClickHouse, and tools like Terraform and Ansible to ensure high availability and reliability for a global CRM platform.
Build and maintain petabyte-scale data infrastructure, design storage systems, and optimize batch and real-time pipelines using ClickHouse for OLAP reporting.
Build and maintain Nutripure’s data platform on GCP, ensuring reliable, fresh data pipelines and enabling analysts with clean models and observability.
Designs and maintains a petabyte-scale data platform for an AI-safety startup, using Snowflake and ClickHouse with Python and SQL to ensure fast, secure, and governed data flows.
Designs and scales data infrastructure (lakes, warehouses, pipelines) using Spark, Kafka, ClickHouse, and PostgreSQL, while leading a team of data engineers and collaborating with data scientists and DevOps.
Build and maintain the data pipelines that power streaming-TV ad campaign reporting, ensuring accuracy and enabling new product features in a fast-growing AdTech startup.
Build and maintain the data pipelines that power Vibe.co’s streaming-TV ad reporting, ensuring accurate, real-time campaign metrics for advertisers.
Build and maintain a petabyte-scale data platform for an AI-safety startup, designing storage, APIs, and governance to support LLM/VLM training and millions of daily API calls.
Build and maintain data pipelines, migrate to ClickHouse, and implement monitoring to ensure data reliability for a Paris-based startup.
Design and build a next-gen, real-time data pipeline for GitGuardian’s secrets detection platform, migrating from batch to streaming and adding agentic AI layers.
Build and scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming-TV ad campaigns.
Build and scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming TV ad campaigns.
Build and maintain petabyte-scale data infrastructure using Spark, ClickHouse, and lakehouse tools, and own incident response and cost optimization for real-time reporting.
Build and maintain Chance’s data stack: migrate PostgreSQL to ClickHouse, set up pipelines with DBT/Airbyte/Prefect, and ensure reliable analytics for a dating platform.
Build resilient data pipelines and self-serve tooling for a crypto market maker, normalizing market, trading, and portfolio data in real time for desks, risk, finance, and research.
Build and maintain scalable data pipelines and infrastructure for an AI safety startup, enabling petabyte-scale data access and governance for research and production workloads.
Build and maintain scalable data pipelines and ETL processes to power AI model training and analytics at a cutting-edge AI company.
Build and maintain Wizaly’s data pipelines and attribution algorithms using Scala/Spark and SQL, ensuring accurate, real-time marketing performance insights for clients.
Build and maintain network automation and monitoring tools for a large IP backbone, using Python, Go, and open-source tech to manage tens of thousands of devices and optimize routing.
Architect and build backend systems to manage billions of data points and scale infrastructure for machine-learning workflows using PostgreSQL and ClickHouse.
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