About Muskan
Data Engineer, creator, and interview mentor demystifying real-world Big Data architectures and technical interview rounds[cite: 1].
Bridging the gap between theory and real technical rounds.
Welcome to Data with Muskan! Having worked on complex data engineering pipelines, I started sharing real problem breakdowns, PySpark optimization edge cases, and SQL logic on LinkedIn[cite: 1].
In typical data engineering interviews, candidates often struggle not because of syntax, but because they have never seen how systems fail at scale. Standard tutorials teach syntax, but top companies ask about data skew, memory spill, shuffle bottlenecks, and real-time streaming architectures.
After receiving countless messages from candidates preparing for product companies, I curated scenario-based question sets and launched 1:1 live mock interview rounds to help candidates evaluate their readiness before stepping into real interviews[cite: 1].
Core Philosophy:
"Think in data pipelines, explain in trade-offs, and master the edge cases."
What We Cover Across Guides & Mentorship
Databricks & Spark
Delta Lake ACID semantics, partitioning vs Z-ordering, catalyst optimizer, and cluster sizing.
SQL & Data Modeling
Complex analytical window functions, dimensional modeling, slow-changing dimensions (SCD), and query tuning.
Gen AI & Modern Stacks
Retrieval-Augmented Generation (RAG) vector pipelines, embedding ingestion, and LLM data infrastructure[cite: 1].
Get Interview-Ready Today
Explore our curated PDF scenario sets starting at ₹59 or schedule a personal 1:1 Live Mock Interview session for ₹499[cite: 1].