Welcome to DriveDataScience
70+ hands-on tutorials on Azure, Databricks, SQL, PySpark, AWS, and AI — written by a working data engineer. Every tutorial comes from real project experience, not textbook theory.
Pick a learning path below. Posts are ordered from beginner to advanced within each section.
☁️ Path 1: Azure Data Engineering (Start Here If You Are New)
The complete Azure data engineering path — from cloud fundamentals to production CI/CD pipelines.
Foundations
- Cloud Computing Concepts
- Azure Fundamentals
- What Is Azure Data Factory?
- Synapse Workspace Setup
- ADF vs Synapse
- Database vs Data Warehouse
Storage, Networking & Security
- Blob Storage → ADLS Gen2 → Azure SQL Database
- Azure Networking (VNets, NSGs, Private Endpoints)
- Azure RBAC Roles Demystified
- File Formats: CSV, Parquet, Delta, Avro, ORC
Building Pipelines
- Metadata-Driven Pipeline → Audit Logging → Incremental Loading
- Parameterized Datasets → ADF Expressions
- Unified Full + Incremental Pipeline
- Data Flows Guide → Data Flow Joins
SCD Pipelines
Triggers, CI/CD & Operations
🔶 Path 2: Azure Databricks
Notebooks, Delta Lake, Unity Catalog, PySpark, Workflows, and production patterns.
- Databricks Intro & dbutils → Connecting to Storage → Secret Scopes & Key Vault
- Reading/Writing File Formats → Volumes, DBFS & File Storage
- PySpark Transformations Cookbook → Connecting to Azure SQL (JDBC)
- Delta Lake Deep Dive → Optimization (OPTIMIZE, Z-ORDER, VACUUM)
- External Tables & Unity Catalog → Medallion Architecture
- SCD Type 1 & 2 with Delta MERGE → Data Quality Framework
- Workflows & Jobs → Git Integration & CI/CD
🗄️ Path 3: SQL for Data Engineers
From execution order to advanced subqueries — the SQL skills every data engineer needs.
🐍 Path 4: Python & PySpark
SparkSession, lazy evaluation, joins, window functions, SCD with Delta, and REST APIs.
☁️ Path 5: AWS & More
🎯 Interview Prep
About the Author
Hi, I am Naveen Vuppula — a Senior Data Engineering Consultant based in Ontario, Canada. I work with Azure Data Factory, Synapse Analytics, Databricks, Python, SQL, and AWS every day. Everything on this site is written from hands-on project experience.