🚀 Stay tuned and get ready for a hands-on experience

Hey Data Dreamers 👋,

When we first started our data engineering journey, things were very different.
Free, easy-to-use cloud platforms like AWS Free Tier didn’t exist the way they do today.
Setting up real-world projects meant complicated local installs, limited resources, and a lot of trial and error.

Today, the game has hanged and cloud platforms like AWS, Azure,GCP make it easier than ever to build real, cloud-native projects from anywhere, using just your browser.

Why AWS?
✅ #1 in the Cloud Market: AWS holds around 31% of the global cloud market share - more than any other provider.
✅ Massive Adoption: Most companies - from startups to Fortune 500 ,run part of their data infrastructure on AWS.
✅ Rich Data Services: With tools like S3, Glue, Athena, Redshift, and Step Functions, AWS offers a full ecosystem for building modern data pipelines.
✅ Job Opportunities: AWS experience is consistently listed as a top skill in data engineering job descriptions.
✅ You must choose one to get started ;)

Choosing AWS not only makes learning easier , it makes you job-ready for real-world opportunities.

💡 Fun Fact

That’s why we’re so excited to bring you:
An upcoming 3-part AWS Data Engineering project series, inspired by the real skills needed for the AWS Data Engineering world and even more importantly, for real-world data engineering jobs.

Whether you’re building toward your first cloud project, preparing for AWS certifications, or planning your next career move, this series is designed to help you grow and take one sustainable step at a time.

🛠️ What’s Coming

• Part 1: Batch Data Ingestion and Raw Landing Zones on AWS

• Part 2: Data Transformation and Storage for Analytics

• Part 3: Data Exploration, Querying, and Insights

Each edition will walk you through simple, real-world setups which will be fully inside AWS.
✅ No local software installs
✅ No complex environment setup
✅ Just your browser + AWS Free Tier

🎯 The Skills You Actually Need to Be a Data Engineer

Before we dive into the project series, here’s a reality check:
If you want to break into data engineering, here’s the minimum skill set you need to be job-ready:

🔹 Basic (Foundational) Skills:

• SQL: Querying structured data (we’ll use AWS Athena or similar service, no local DBs needed)
  👉 Learn SQL for Free (Codecademy)

• Data Modeling Basics: OLTP vs OLAP, schema design thinking
  👉 Intro to Data Modeling (Khan Academy)

• Python or lightweight scripting: (Optional, but we’ll show you cloud-native alternatives)
  👉 Python Basics (Learn Python)

• Cloud Basics: Using AWS services like S3, RDS (fully cloud-managed)
  👉 AWS Cloud Practitioner Essentials (Free AWS Training)

• ETL Concepts: Data flow understanding: Source ➔ Transform ➔ Destination
  👉 ETL Concepts on DataCamp (DataCamp)

• Version Control: Knowing basic Git (even without heavy dev setups)
  👉 Git & GitHub for Beginners (Codecademy)

🔹 Advanced (Growth) Skills:

• Data Pipelines: Using AWS Glue (Serverless ETL) and Step Functions

• Big Data Handling: S3 Data Lakes, querying with Athena

• Orchestration: Event-driven workflows (S3 triggers, Lambda events, Step Functions)

• Optimization: Query tuning, partitioning, efficient data storage in S3

• Security Fundamentals: IAM roles, policies, encryption-at-rest

You don’t need to master everything at once —
but you do need one solid, cloud-native project that shows you can build real-world data flows.

That’s exactly what this series is about.

📋 How to Get Ready

Here’s all you’ll need:

• A Free AWS Account (sign up if you haven’t already)

• AWS Management Console access (browser-based)

• (Optional) Basic familiarity with AWS S3 and IAM — but we’ll explain from scratch too!

That’s it. No downloads. No complicated local setups.
Just open your browser, log in to AWS, and build with us.

❤️ Why We’re Excited

This isn't just a project series.
It’s about building momentum, confidence, and real skills — sustainably.

Because learning should fit into your real life — not take it over.

We can't wait to start this journey with you.

Stay tuned the Part 1 drops soon! 🚀

In the meantime, hit reply and tell us:
What's one AWS service or concept you’re most excited to build hands-on?

Let’s build something real together,
— DesiDataDuo
"Real stories. Sustainable growth. One data step at a time."