Data engineering interview prep: get the records right

Preserve meaning. Recover late data. Run it twice.

Start with the replay

Lumen · authored packet

6 expected.
6 stored.

Expected

  1. v1
  2. v2
  3. v3
  4. v4
  5. v5
  6. v6

Stored

  1. v1
  2. v3
  3. v4
  4. v6
  5. v5
  6. v3

v2 missing · v3 counted twice

Inspect the records

Practice interviews

Interactive investigationThe counts match. Are the records correct?

Sources

  1. Yogesh Nagarur, Author, at the time. Netflix TechBlog, “Behind the Scenes: Evolving Netflix’s Ads Event Pipeline for Live — Part II”, Aug 17, 2026. Open the source. Checked against the published text.
  2. Devon Edwards Joseph, Senior Engineer, at the time. Spotify Engineering, “Background Coding Agents: Supercharging Downstream Consumer Dataset Migrations (Honk, Part 4)”, Apr 22, 2026. Open the source. Checked against the published text.
  3. Aezo Teo, Harvey Li, Houren Chen and Feng Cheng, Co-authors, Grab Tech, at the time. Grab Tech, “Data Mesh at Grab (Part II): The foundational tools behind certification”, Apr 30, 2026. Open the source. Checked against the published text.
  4. Antonia Badarau, Irina Mugford and Massimo Frangiamore, Lead Analytics Engineer; Lead Analytics Engineer; Senior Analytics Engineer, at the time. Monzo Blog, “A “meshy” approach to Data: Enabling 100+ teams to build Data Models”, Apr 22, 2026. Open the source. Checked against the published text.

Last reviewed Nov 10, 2026