Chandra Venkat

Data Engineer | Udemy Instructor

All-in-One Data Career Pack

Your complete roadmap to master SQL, interview prep, data pipelines

SQL for Beginners

What You’ll Learn

📘 SQL Fundamentals
• Write clean, structured SQL queries
• Filter, sort, group & join data
• Apply aggregate & conditional logic
🔎 Intermediate Concepts
• SQL JOINS, GROUP BY, HAVING
• CASE WHEN for conditional logic
• UNION vs UNION ALL
⚙️ Advanced SQL
• Window functions, Subqueries & CTEs
• Transactions, Optimization
• Stored Procedures & Functions
🧠 Problem Solving Mindset
• SQL framework & logical steps
• Challenge walkthroughs
🤖 SQL + ChatGPT
• Debug SQL with AI
• Solve real data problems faster
📊 Portfolio Projects
• E-Commerce, HR Analytics
• Credit Card Fraud, Movie Ratings
• GitHub-ready resume projects
🚀 Mock Projects for Job Roles
• Data Engineer – ETL
• Data Analyst – Dashboard logic
• Full Stack Dev – App integration
• DB Tester – Schema checks
💼 Interview Prep + FAANG Problems
• Real-world interview strategy
• Top company SQL scenarios

"The course is very easy to understand and concepts are explained with example "

— Ekta

The Complete Data Engineering Bootcamp

What You’ll Learn

⚡ PySpark for Real ETL
• Understand Spark’s role in data pipelines
• Grasp DAGs, stages, and job execution
🛠️ Setup Your Stack
• Docker-based setup: Spark, Airflow, HDFS
• Use WSL2 and Docker Compose
• Launch & explore Spark UI, HDFS, Airflow
📦 Build ETL Jobs
• Load files, transform data in PySpark
• Write & submit clean PySpark scripts
• Use Spark SQL for the same logic
🧑💻 Production Pipeline 1: Sales ETL with Cron
• Build a PySpark-based ETL with shell scripts
• Schedule daily jobs with Cron
• Reuse logic with modular scripting
🏢 Production Pipeline 2: Customer ETL with Airflow
• Build customer pipeline in Jupyter
• Convert to production-ready script
• Automate using Airflow & HDFS
🚀 Dev to Prod Readiness
• Switch between Dev & Prod dynamically
• Use shell wrappers & environment configs
🧪 Team Workflow Simulation
• Git flow across Dev, QA, Prod
• Ticket-based handoff simulation
💼 Resume-Ready Experience
• Practical mock projects
• Lightweight production pipelines
• Skills aligned to real data engineering roles

"really useful"

— Tadeo

About

I’m Chandra Venkat, a data engineer with over 12 years of experience working across SQL, Big Data, and cloud tools like GCP, BigQuery, and Apache Spark.I’ve led and delivered real-world projects in production environments, and I’m now focused on helping students master job-ready skills — not just theory.My goal is to break down complex topics into simple, relatable lessons that even beginners can apply with confidence. Whether you're just starting out or switching careers, I’m here to help you take your first steps toward a real-world career in data.