SeattleDataGuy’s Newsletter

Daily Tasks With Data Pipelines - Data Quality Checks And The Problem With Noisy Checks

Every morning, your team wakes up to 137 data quality alerts.

Apr 7 • SeattleDataGuy

44

2

3

March 2026

You Will Know Nothing And Be Happy

It’s 2030, and your boss just asked you to pull data to help better segment your users and understand their behaviors.

Mar 25 • SeattleDataGuy

72

6

6

Full Refresh vs Incremental Pipelines

Tradeoffs Every Data Team Should Know

Mar 17 • SeattleDataGuy

65

4

5

Layer by Layer, We Built Data Systems No One Understands

How data stacks turn into fractals

Mar 2 • SeattleDataGuy

63

4

4

February 2026

Backfills - The Necessary Evil of Data Engineering

Why backfills happen, why we hate them, and how to handle them without breaking trust

Feb 23 • SeattleDataGuy

81

4

7

Why Data Pipelines Exist

Beyond Moving Data From Point A To B

Feb 9 • SeattleDataGuy

74

4

9

January 2026

5 Key Predictions for the Data Industry in 2026

Hype Cycles, Rebrands, and the Messy Reality of Data

Jan 31 • SeattleDataGuy

67

11

4

The Analytical Skills No One Teaches You

Estimation, Baselines, Root Cause Analysis, and Metrics That Actually Matter

Jan 23 • SeattleDataGuy and Olga Berezovsky

143

3

19

What It Actually Takes to Build a Data Pipeline System

A breakdown of the components, tradeoffs, and realities of building your own data pipeline system

Jan 14 • SeattleDataGuy

63

3

9

Common Data Pipeline Patterns You’ll See in the Real World

A practical look at the many ways data pipelines show up inside real companies

Jan 5 • SeattleDataGuy

85

3

8

December 2025

Snowflake vs Databricks Is the Wrong Debate

Winning the Data Stack Role by Role

Dec 12, 2025 • SeattleDataGuy

53

2

4

How I Run System Design Interviews for Data Engineers

Why System Design Still Matters

Dec 9, 2025 • SeattleDataGuy and mehdio

112

3

11