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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
62
4
6
Why Data Pipelines Exist
Beyond Moving Data From Point A To B
Feb 9
•
SeattleDataGuy
66
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
65
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
122
3
16
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
62
3
8
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
81
3
8
December 2025
Snowflake vs Databricks Is the Wrong Debate
Winning the Data Stack Role by Role
Dec 12, 2025
•
SeattleDataGuy
52
2
4
How I Run System Design Interviews for Data Engineers
Why System Design Still Matters
Dec 9, 2025
•
SeattleDataGuy
and
mehdio
108
3
10
Translating Data Buzzwords Into Real Requirements
Bridging the Communication Gap Between Data and the Business
Dec 2, 2025
•
SeattleDataGuy
40
2
8
November 2025
Own the Spreadsheet, Own the World
Will We Ever Escape Excel
Nov 28, 2025
•
SeattleDataGuy
30
7
3
What It Really Takes to Move From Senior to Staff Data Engineer
An Interview With A Staff Level Data Engineer At Apple
Nov 17, 2025
•
SeattleDataGuy
40
4
7
5 Things in Data Engineering That Have Changed In The Last 10 Years
What Will Change Next?
Nov 7, 2025
•
SeattleDataGuy
32
2
4
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