FAST TRACK YOUR CAREER
Our students have gone on to work at Meta, Airbnb and Amazon — and achieve 100% raises along the way.
Expedition N° 01 · Lat 66°33′ N · Now enrolling
Chart your course like a big tech engineer — live cohorts, real cloud infrastructure, and capstones that open frozen doors.
Alumni at Meta · Airbnb · Amazon
Method · Chapter I
Six instruments in your expedition kit — each one field-tested by engineers who made it to the summit.
Our students have gone on to work at Meta, Airbnb and Amazon — and achieve 100% raises along the way.
Immediate access to Databricks, AWS, Snowflake and Astronomer, with tons of hands-on exercises from day one.
Learn directly from the best engineers in the industry in live sessions, recorded and archived for you.
No toy datasets. You build pipelines on the same warehouses and lakehouses used by the biggest tech companies.
Structured cohorts with TAs, book clubs and a clear route — you always know the next step of the journey.
Every live class is recorded and available within 8 hours, so no lesson is ever lost in the storm.
Offerings · Chapter II
Live cohort · 6 weeks
Spark, Airflow, dimensional modeling and streaming — the full route from raw data to production pipelines.
Chart this courseLive cohort · 6 weeks
LLM pipelines, RAG systems, evaluation and deployment. Build AI products the way big tech teams do.
Chart this courseSelf-paced
dbt, warehouse design and metrics layers. Turn frozen data into decisions the whole company can read.
Chart this courseMonthly · all recordings
Every past bootcamp recording, weekly guest speakers and the full exercise archive — one subscription.
Chart this coursePortfolio · Chapter III
Field reports from our students — real systems, shipped and documented.




Field footage · Interlude
Auroras, icefalls and rivers of raw data — the terrain you learn to navigate, captured from the expedition archive.
Crew · Field notes
No one crosses the ice alone. Cohorts, TAs and weekly guest speakers keep every expedition on course.




“I came in writing SQL by instinct and left running production pipelines. The cohort felt like a crew, not a classroom.”
“The capstone opened the door. I walked into interviews with a real streaming system to talk about — not toy notebooks.”
Log · Chapter IV
Everything a crew member asks before boarding — schedules, cloud access, support and billing, in plain language.
Engineers and analysts who want to build production-grade data platforms — not toy notebooks. Most of our crew arrives from one of three routes: analysts moving into engineering, software engineers moving into data, or data engineers leveling up to senior/staff scope.
If you can write basic SQL and Python, you are ready for the main expedition. If you are starting from zero, begin with the self-paced foundations track and join the next live cohort once you clear the entry checklist.
Still charting your route? A member of the crew replies within one business day.
Ask the crewContact · Final chapter
Send a message and a member of the crew will reply within one business day.
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