Engineering Study Guides
Self-paced, topic-wise guides built for interview prep and real project work. Pick a track, follow it week by week, ship the projects.
12-week fast-track: SQL, Python, ETL/ELT & modeling, AWS, Docker, Airflow, dbt, PySpark, Kafka, Databricks, plus a capstone platform architecture.
Thirteen modules from an empty terminal to a containerised API: HTTP, FastAPI, SQL, schema design, ORM & migrations, error handling, hand-rolled auth and JWKS, testing, logging, Docker. No cloud account needed. Frontend half is on the roadmap.
dbt in depth, semantic layers, metrics stores, dimensional modeling at scale, BI handoff and data contracts.
Feature stores, training pipelines, model serving, RAG systems, vector databases, evaluation and LLM observability.
Scaling, caching, queues, consistency models, sharding, CAP trade-offs and end-to-end design interview walkthroughs.
Arrays, hashing, two pointers, trees, graphs, DP — pattern-first, with the complexity reasoning behind each approach.