Noufal E
Community@noufal85
Senior Data Engineer at Amazon
Agent Skills by Noufal E
Showing 15 vetted skills indexed across 1 GitHub repositories.
interview-spark-iceberg-depth
Runs a role-play mock interview drilling Apache Spark and Iceberg internals with per-question feedback.
interview-director
Simulates Netflix director interview rounds with role-play personas and scored coach debriefs.
coach-chat
Facilitates free-form conversational interview coaching with knowledge-base capture and skill routing.
netflix-scenario-drill
Runs rapid-fire Netflix culture scenario drills with probes, scoring, and debriefs.
interview-cross-functional
Simulates Netflix cross-functional partner and product-sense case-study interviews with per-answer coaching feedback.
star-story-builder
Converts rough work experiences into structured STAR stories tagged with Netflix values.
interview-system-design
Simulates a 60-minute Netflix data-engineering system-design interview with role-play and scored debrief.
interview-peer-engineer
Simulates a Netflix peer engineer interview round with role-play and per-answer coaching feedback.
interview-hiring-manager
Simulates a Netflix hiring manager phone screen with role-play, per-answer feedback, and coach-mode debrief.
netflix-culture-memo
Explains Netflix culture memo values and scores behavioral interview answers against them.
interview-de-depth
Simulates Netflix's 60-minute Data Engineering Depth interview round with role-play and SQL exercises.
interview-culture-memo
Runs a 45-minute Netflix culture-memo mock interview with per-question critical feedback.
answer-gap-analyzer
Scores behavioral interview answers against the Netflix culture rubric and identifies gaps.
experience-knowledge-base
Manages CRUD operations and schema consistency for a markdown-based interview knowledge base.
data-model-interview
Simulates a senior data-engineering data-model-design interview with escalating complexity and scored debrief.
Frequently Asked Questions About Noufal E
FAQPage SchemaWhat tasks can I accomplish with Noufal E's interview preparation skills?▼
You can run live mock interviews for every Netflix loop stage (hiring manager, peer, director, cross-functional, system design, DE depth, culture memo), build and polish STAR stories, score behavioral answers against the Netflix rubric, drill culture scenarios, and practice Spark/Iceberg technical deep-dives with per-question feedback.
Who are these skills designed for?▼
They target senior data engineers preparing for Netflix onsite loops, especially the Ads DSE panel, plus candidates facing data-modeling or Spark/Iceberg technical rounds at other companies. The data-model-interview skill is company-agnostic and ships with an OpenAI analytics case as its flagship mock.
How do the mock interview skills work in practice?▼
Each mock runs as a live role-play matching the real round's duration and format, such as a 30-minute hiring manager screen or 60-minute system-design session. Afterward, a coach-mode debrief delivers per-question feedback, and structured skills capture stories and gaps into the knowledge base.
What technical topics do the deep-dive skills cover?▼
The Spark/Iceberg skill drills internals like AQE, hidden partitioning, compaction, and WAP plus production scenarios such as OOM, small-file explosions, and throughput tuning. The system-design skill uses Netflix's published stack: Iceberg, Spark, Flink, Maestro, Keystone, Psyberg, Mantis, Kafka, Cassandra, and Druid.
How is my interview content stored and reused across sessions?▼
The experience-knowledge-base skill manages a knowledge-base directory with defined schemas, deduplication, and INDEX.md synchronization. Stories are tagged by Netflix value and situation, so coach-chat, star-story-builder, and answer-gap-analyzer can read, write, and reference your saved material continuously.