We build the data infrastructure that drives your business decisions. Custom pipelines, real-time analytics, and enterprise-grade lakehouse architectures.
From raw ingestion to analytical insight — we own every layer of your data stack so your engineers can focus on impact.
We design and deploy production-grade data pipelines tailored to your source systems, SLAs, and compliance requirements. Apache Kafka, Airflow, dbt — built right.
ETL / ELTSub-second streaming analytics on petabytes of operational data. Flink, Kafka Streams, or Spark Structured Streaming — we pick the right engine for the latency you need.
StreamingCloud-native lakehouse designs on AWS, GCP, or Azure — elastic compute, columnar storage, and governance baked in from day one. Built to survive 100× traffic spikes.
LakehouseHover over each layer to explore the technology stack. Watch data flow in real time across your pipeline.
Slim Team redesigned our entire data platform in 6 months. What used to take our team 4 hours now refreshes in 12 minutes. The lakehouse architecture they built handles 3× our peak Black Friday load without breaking a sweat.
We needed a real-time fraud detection pipeline before our Series B. Slim Team delivered a Kafka + Flink solution with <200ms latency in 8 weeks. Their engineers understood our compliance requirements from day one.
We work with the tools your team already uses — or help you choose the right ones.