Free live demo at 7:30 AM IST
Become a job-ready Data Engineer on AWS
More than just technology. Learn to design, build and deploy your own data lakehouse on AWS with Python, PySpark, Apache Iceberg, GitLab CI/CD and Terraform, plus GenAI tools like Amazon Q and Kiro IDE.
- Live, small batches
- Real-time project
- Lifetime access
- Doubt support after course
df = spark.read.parquet("s3://lake/raw/orders/")
clean = df.dropDuplicates(["order_id"])
clean.writeTo("glue.sales.orders").append()About D2X Technologies
Empowering learners to turn data into excellence
At D2X Technologies, we believe in transforming careers through hands-on, industry-relevant training. We train fresh graduates and experienced software engineers who are passionate about Data Engineering, Data Science and AI/ML.
Our structured learning paths bridge the gap between traditional systems and modern cloud-native platforms. Real-world projects, interactive labs and progressive modules help you build confidence and stay ahead in the data landscape.
Hands-on first
Real projects and labs in every program.
Industry relevant
The tools data teams use today.
Bridge the gap
From traditional systems to the cloud.
Real confidence
Explain and build what you learned.
Flagship course
AWS Data Engineering
From Python basics to a production-grade pipeline on AWS: PySpark, Glue, Athena, Apache Iceberg, Redshift, Terraform and GitLab CI/CD, finished with Databricks, resume and interview preparation.
- Duration
- 60 days
- Modules
- 10
- Topics
- 53
Live online. Interview support and work support available.
- 01Introduction to Data Engineering & Cloud Foundations
- 02Python for Data Engineering
- 03PySpark for Big Data Processing
- 04Data Lakehouse Architecture on AWS
- 05AWS S3: Storage, SDK & Data Ingestion
- 06AWS Glue, Athena & Apache Iceberg
- 07End-to-End Incremental Pipeline: Raw → Cleansed → Curated → Redshift
- 08Monitoring, Security & Config-Based Pipeline Patterns
- 09Infrastructure as Code & CI/CD Deployment
- 10Databricks, Resume & Interview Preparation
Who we train
From traditional systems to modern cloud data platforms
Our programs bridge the gap between what you know today and what data teams hire for now.
Freshers
Start your career in a role that is in demand, with a portfolio that proves you can build.
ETL and SQL developers
Move from Informatica, SSIS, DataStage or mainframe work to cloud-native data platforms.
Software engineers
Add Spark, lakehouse and AWS data skills and switch into data engineering roles.
Working professionals
Early morning live batches so you can learn before your office day starts.
Programs
Learning paths
AWS Data Engineering
Learn to design, build and deploy your own data lakehouse on AWS, from data ingestion to deployment. Practical, real-time and project-driven, with GenAI tools like Amazon Q and Kiro IDE to automate pipelines and boost productivity.
Data Engineering with Databricks on AWS
A hands-on workshop on scalable lakehouse architecture with Databricks on AWS. Spark transformations, Delta Lake, governance with Unity Catalog and analytics that bridge data engineering with machine learning.
Data Science and AI/ML
A practical path into data science and AI. Clean and explore data, build and evaluate models, deploy on AWS and create simple GenAI applications on top of your own data.
How your journey works
- 01
Free live demo
Watch a real pipeline built live and ask your questions.
- 02
Live classes
Instructor-led sessions with recordings shared after class.
- 03
Build projects
Hands-on labs on your own AWS account, pushed to GitHub.
- 04
Career support
Resume, mock interviews and job openings shared with you.
Schedule
Upcoming sessions
Next date on WhatsApp
7:30 AM IST
Live demo class: AWS Data Engineering
See the full course plan and project flow, and get your questions answered. Design, build, store, automate, deploy and grow a data lakehouse on AWS.
Enrolling now
Morning batch, IST
AWS Data Engineering by Jaswanth
Small batch, live online. AWS, Python, PySpark, Apache Iceberg, GitLab CI/CD, Terraform, Amazon Q and Kiro IDE with a real-time end-to-end project.
To be announced
To be announced
Databricks on AWS workshop
Lakehouse architecture, Spark transformations and Databricks native tools. Join the waitlist for early access.
Why D2X
Training built around real data work
Our purpose is simple: empower learners to turn data into excellence, through hands-on, industry-relevant training that builds real confidence.
Talk to a trainer on WhatsApp →For companies
Corporate training for data teams
Upskill your team on AWS data engineering, Databricks and AI/ML with a program shaped around your stack.
Request a proposal →For learners
Career and job support
Resume for data roles, GitHub portfolio, mock interviews and job openings shared with our learners.
See how we help →Common questions
Are the classes online or offline?
All programs are live online and instructor-led, so you can join from anywhere in India or abroad. Sessions are recorded for revision.
I am from a non-IT or support background. Can I join?
Yes. Start with the free demo and a short call. We will tell you honestly if the course fits your background and what to prepare first.
What is the class timing?
Live classes run in the early morning IST, before most office hours. Free demos run at 7:30 AM IST. Message us on WhatsApp for the next date.
Do you help with jobs?
We help with resume building, project portfolio, mock interviews and we share relevant job openings with our learners.
Do you train teams in companies?
Yes. We run customised corporate training on AWS data engineering, Databricks and AI/ML for teams.
Free, no obligation
Book your free demo session
Live online at 7:30 AM IST. Meet Jaswanth, see the course plan and get a clear path for your career.
- The full course plan and project flow
- How the end-to-end lakehouse project works
- How Amazon Q and Kiro IDE speed up your work
- Timings, fees and your questions answered
Same data. Bigger opportunities.
Book the free live demo or WhatsApp us. We will suggest the right path for your background and goal.