PySpark on Cricket Data End-to-End in Databricks

Data Modelling Basics

The full Data Modelling session — entities, keys, cardinality and normalization built into Swiggy's schema live — with the 20-page ER Model & ER Diagrams notes: every symbol, strong vs weak entities, ISA, aggregation, and five real company ERDs worked end to end.

2 items · Data Engineering · Data Modelling

Databricks Medallion Architecture — Payment Reconciliation Project

The full medallion build from the 23 August session: raw vendor payout and store POS files landing in AWS S3, modelled Bronze → Silver → Gold on Databricks into a payment reconciliation you can demo. Comes with the complete project bundle — notebooks, datasets, SQL, workflow config and a step-by-step beginner guide — plus the four prerequisite sessions.

6 items · Data Engineering · Databricks

SQL Interview Questions — 5 Lectures

Five sessions of SQL interview questions worked end to end — read the question, write the query, then talk through why it is the right shape. Watch in order.

5 items · SQL

LLMs & Agentic AI for Data Engineering

The full session on LLMs and agentic AI in data engineering workflows, with the hand-drawn 25-page field notebook that goes with it — the four pillars: LLM fundamentals, prompt engineering, RAG and tool calling.

2 items · AI · Data Engineering

Azure Data Engineering — End-to-End Project

The complete build with Abhinav Singh: Azure SQL through a metadata-driven Data Factory loop into ADLS Gen2, then Databricks modelling it Bronze → Silver → Gold in Unity Catalog. Comes with the project files, the architecture, the prerequisites and a practice brief.

5 items · Data Engineering · Azure

Complete PySpark Module

Five full lectures from zero to a real PySpark project — plus the project notebook, and the optimisation and joining guides as PDFs.

9 items · Data Engineering · Big Data & Spark

Complete Databricks Module

Three end-to-end Databricks sessions — the platform, the lakehouse workflow, and building on it like a data engineer.

3 items · Data Engineering · Databricks

Complete AWS Cloud Module

Five sessions from what the cloud actually is to the AWS services a data engineer uses every day — IAM, EC2, S3, RDS, Lambda and the CLI.

5 items · Data Engineering · AWS Cloud