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Productivity
Setup Guide
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🔔 Claude Code Voice Hooks — Get Spoken Alerts When Tasks End or Need Approval

A step-by-step setup guide for adding voice notification hooks to Claude Code. Your machine speaks aloud when a long task finishes or when Claude is waiting for your approval — so you can step away and get called back hands-free.

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Claude Code hooks — what they are and how PreToolUse / PostToolUse / Stop events work
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Voice notification on task completion — spoken alert so you never miss a finished run
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Approval-needed alert — audible prompt when Claude is waiting for your input
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Cross-platform setup — macOS (say), Linux (espeak/festival), Windows (PowerShell TTS)
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Custom hook scripts — shell + Python examples you can drop straight into settings.json
🎁 100% Free — No payment required. First 3 open without login.
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Real Project
GitHub Project
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🔄 End-to-End ELT Pipeline — Docker, Airflow, PostgreSQL & dbt

A production-style ELT data pipeline project you can run locally and add to your resume. Covers the full modern DE stack — containerised services with Docker, orchestration with Airflow, and SQL transformations with dbt — all wired together end to end.

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Docker & Docker Compose — containerise every service, run the full stack locally
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Apache Airflow — DAG-based orchestration, scheduling and pipeline monitoring
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ELT pattern — extract and load with Python, then transform in-database with dbt
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dbt models — actors, films, film_ratings, film_actors with macros and tests
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Dual PostgreSQL setup — separate source (port 5433) and destination (port 5434)
🎁 100% Free — No payment required. First 3 open without login.
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Real Interview
Interview Questions
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🎯 Azure Data Engineer — 2nd Round Interview Questions (28 LPA Role)

Real second-round interview questions asked for an Azure Data Engineer role at 28 LPA. Covers advanced system design, PySpark optimisation, ADF, Delta Lake, and scenario-based questions that appear after clearing the first technical round.

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Advanced ADF — parameterised pipelines, triggers, error handling
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Databricks & PySpark — performance tuning, skew handling, AQE
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Delta Lake — MERGE, time travel, schema evolution, CDC patterns
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System design — medallion architecture, scalability, cost trade-offs
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Scenario-based questions from a real 28 LPA Azure DE second round
🎁 100% Free — No payment required. First 3 open without login.
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Resume
Resume Template
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📄 Data Engineering Resume Templates (ATS-Optimised)

Two clean, ATS-friendly resume templates built specifically for Data Engineers. Designed to pass applicant tracking systems and catch recruiter attention — pick the layout that fits your experience level.

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ATS-optimised formatting — no tables, no graphics that break parsers
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Template 1 — clean single-column layout for 0–3 years experience
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Template 2 — structured two-section layout for 3+ years / senior roles
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Pre-filled with DE-specific section headings and bullet examples
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Works with Google Docs and Microsoft Word
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Real Company
Interview Questions
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🏢 PepsiCo — Azure Data Engineer Interview Questions

Real interview questions asked at PepsiCo for the Azure Data Engineer role. Covers ADF, Databricks, PySpark, SQL, system design and scenario-based questions from actual interview rounds.

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Azure Data Factory — pipelines, triggers, linked services
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Databricks & PySpark — transformations, optimisation, Delta Lake
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SQL — window functions, CTEs, performance tuning
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System design — medallion architecture, CDC, incremental loads
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Scenario-based questions from real PepsiCo interview rounds
🎁 100% Free — No payment required. First 3 open without login.
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Interview Revision
PDF Guide
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📋 Azure Data Engineer — Last Minute Interview Revision (6–8 LPA)

Last-minute interview revision guide for freshers targeting 6–8 LPA Azure Data Engineer roles. Covers all key concepts you must revise the night before your interview.

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Azure core services — ADF, ADLS, Synapse, Databricks
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ETL vs ELT patterns for freshers
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Common fresher interview questions & answers
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Quick revision: partitioning, triggers, linked services
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Tips for answering experience-based questions as a fresher
🎁 100% Free — No payment required. First 3 open without login.
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Real Assessment
GitHub Challenge
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☁️ Weekend Azure Data Engineering Project

A real-world take-home assessment used by Blue Owls Solutions to hire Azure Data Engineers. Build a full medallion pipeline — Bronze → Silver → Gold — using Python, PySpark and SQL against a live API with intentional failures.

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Part 1 — API ingestion with retry, backoff & idempotency (30%)
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Part 2 — Prescribed star schema: fact_order_items + 3 dims (10%)
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Part 3 — PySpark medallion pipeline: Bronze → Silver → Gold (30%)
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Part 4 — SQL analysis: revenue trends, ranking, seller scorecard (15%)
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Part 5 — README covering technical decisions & production design (15%)
🎁 100% Free — No payment required. First 3 open without login.
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SQL
PDF Guide
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🗄️ SQL Interview Preparation for Data Engineering

Comprehensive SQL interview guide covering window functions, CTEs, joins, aggregations, and real DE interview-style problems. Essential for every SQL round.

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Window functions — ROW_NUMBER, RANK, LAG, LEAD
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CTEs and recursive queries
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Complex joins & set operations
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Query optimisation & execution plans
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Real interview-style SQL problems
🎁 100% Free — No payment required. First 3 open without login.
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System Design
PDF Guide
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🏗️ 15 System Design Concepts for Data Engineering

15 core system design concepts every DE candidate must know — covering scalability, reliability, partitioning, CDC, Lambda vs Kappa, and more.

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Scalability & reliability patterns
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Partitioning & sharding strategies
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CDC — Change Data Capture
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Lambda vs Kappa architecture
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Real-time vs batch design trade-offs
🎁 100% Free — No payment required. First 3 open without login.
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SQL + PySpark
Question Bank
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⚡ 210 SQL & PySpark Practice Questions

210 curated practice questions across SQL and PySpark — covering all difficulty levels from beginner to interview-ready. Great companion to the roadmap.

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SQL — analytics, aggregations, window functions
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PySpark — transformations, joins, optimisation
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Mixed difficulty: easy → hard progression
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Real company question patterns
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Answer hints included
🎁 100% Free — No payment required. First 3 open without login.
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Interview Revision
PDF Guide
🔜 Coming Soon

📋 Azure Data Engineer — Last Minute Interview Revision (9–15 LPA)

Coming soon — last-minute interview revision guide for mid-level Azure Data Engineer roles targeting 9–15 LPA. Advanced concepts, scenario-based questions, and real company patterns.

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Advanced ADF pipelines & custom activities
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Databricks performance optimisation
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Scenario-based DE interview questions
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Real company patterns at 9–15 LPA level
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System design fundamentals for mid-level roles
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Interview Revision
PDF Guide
🔜 Coming Soon

📋 Azure Data Engineer — Last Minute Interview Revision (16–25 LPA)

Coming soon — last-minute interview revision guide for senior Azure Data Engineer roles targeting 16–25 LPA. Deep-dive system design, architecture trade-offs, and leadership questions.

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End-to-end architecture design for senior roles
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Cost optimisation & scalability at scale
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Leadership & cross-team collaboration questions
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Advanced Synapse & Databricks architecture patterns
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Real senior-level interview war stories & strategies
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