Data Engineering Bundle with Shrividya Hegde

Shrividya Hegde

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Data Engineering Bundle

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Package
6Products

What you'll get

1 x Kafka Essentials cheat sheet
Kafka's mental model is small but easy to get wrong, and getting it wrong shows up as data loss or a stalled consumer gr… Read more
1 x dbt Essentials cheat sheet
The parts of dbt you look up mid-build, condensed to two pages. Inside: Project anatomy, ref() and source(), and a diagr… Read more
1 x PySpark Optimization cheat sheet
A two-page reference for the PySpark decisions that actually change your runtime: partitioning, joins, shuffles, and ske… Read more
1 x SQL Window Functions cheat sheet
Window functions are the thing people look up every single time and still get subtly wrong. This sheet fixes that. It op… Read more
1 x Airflow Operators cheat sheet
A working reference for the operator and sensor decisions you make while writing DAGs, not a rehash of the API docs. Wha… Read more
1 x quick chat
15mins per session

About this package

Five reference sheets for the tools data engineers actually use day to day, in one download.

  • PySpark Optimization: partitioning, joins, skew, Spark UI diagnostics
  • SQL Window Functions: ranking, frames, and the patterns you rewrite constantly
  • Airflow Operators: operators, sensors, trigger rules, deferrable tasks
  • dbt Essentials: materializations, incremental models, tests, snapshots
  • Kafka Essentials: partitions, consumer groups, delivery semantics

Eleven pages including a series cover, with diagrams for the concepts that are easier to see than read: broadcast vs sort-merge joins, sliding window frames, sensor modes and worker slots, the dbt ref graph, partitions mapped to consumers.

Spark 4.0's ANSI mode default, Airflow 3's removal of SLAs and execution_date, Kafka 4.0 dropping ZooKeeper, and dbt 1.9's microbatch strategy.

Buy all five separately and it's $35. The bundle is $22.

PRINTING

US Letter, 2 pages per volume. Print double-sided for a single pinnable page. Readable in grayscale.

VERSIONS COVERED

PySpark Spark 3.x to 4.x

SQL ANSI, with Postgres/Snowflake/BigQuery/MySQL notes

Airflow 2.x to 3.x

dbt 1.9+

Kafka 3.x to 4.x

Version-specific behavior is flagged on the sheets themselves.Check those notes before copying code into an older setup.

LICENSE

For your personal use. Please don't redistribute or resell.Using these at work is fine. Sharing the file with your whole team is not; point them here instead.

FEEDBACK

Wrong, unclear, or missing something? Tell me. Corrections make the next version better and you'll get the update.

Package validity: 3 months
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