Linux Systems
Navigate the shell, manage permissions, and automate system tasks at the source.
Data engineering learning tracks across SQL, Python, and Linux. Build a verifiable profile by shipping solutions to production-style tasks.
Navigate the shell, manage permissions, and automate system tasks at the source.
Automate, analyze, and debug data workflows with Python, the core track for modern data engineers.
Master complex analytical queries, performance tuning, and data modeling in the warehouse.
Transform data with version control and engineering best practices using dbt.
Orchestrate data pipelines. Write DAGs. Debug failures.
Process large datasets with PySpark in local cluster mode.
Provision and audit data infrastructure as code.
Build, ship, and debug containerized data services.
Design streaming pipelines with topics, consumers, and exactly-once patterns.
Architect and debug resilient cloud infrastructure. Handle live AWS scaling incidents.