D2X Technologies, Data to Excellence

Become a job-ready Data Engineer

Master Data Engineering across AWS, Azure, Databricks & Informatica Cloud.Build real lakehouse pipelines with Python, PySpark, Snowflake and GenAI tools.

Book a free demoExplore courses
  • Live, small batches
  • Real-time project
  • Lifetime access
  • Doubt support after course
capstone_pipeline.py
IngestReal sourcesAmazon S3Landing zonePySparkProcess on AWSIcebergLakehouse storeGitLab CI/CDOrchestrateTerraformDeploy to AWS
df = spark.read.parquet("s3://lake/raw/orders/")
clean = df.dropDuplicates(["order_id"])
clean.writeTo("glue.sales.orders").append()
AWSAzureDatabricksSnowflakeIDMCPythonPySparkApache IcebergGitLab CI/CDTerraformAmazon QKiro IDEData LakehouseSQLGenAIAWSAzureDatabricksSnowflakeIDMCPythonPySparkApache IcebergGitLab CI/CDTerraformAmazon QKiro IDEData LakehouseSQLGenAI

What you will build

One modern data platform, end to end

Data flows from real sources, through PySpark and the lakehouse, to the analytics teams use every day. GenAI tools and CI/CD automate every step. This is the stack you learn and build with us.

  1. 01
    Data sourcesReal business data
    • KafkaStreaming
    • OracleDatabase
    • SQL ServerDatabase
    • FilesCSV, JSON, Parquet, Excel
    • APIsREST and SOAP
    • IoT and sensorsDevice events
    • Other sourcesSaaS apps and more
  2. 02
    IngestBring data in
    • AWS GlueServerless ETL
    • Azure Data FactoryCloud pipelines
    • Informatica IDMCCloud Data Integration
  3. 03
    ProcessWith PySpark
    PySpark
    • Batch and streaming
    • Data transformations
    • Data quality
    • CDC and incremental
    • Enrichment
  4. 04
    Data lakehouseOn AWS and Azure
    Delta LakeApache Iceberg

    Bronze

    Raw

    Silver

    Cleansed

    Gold

    Curated

    Amazon S3

    Data lake

    Azure Data Lake

    Storage (ADLS)

  5. 05
    Serving layerAnalytics and BI
    • SnowflakeCloud data warehouse
    • Amazon RedshiftData warehouse
    • Azure SynapseAnalytics
  6. 06
    Business valueWhat teams get
    • BI and reporting
    • Data science and AI
    • Self-service analytics
    • Ad-hoc queries
    • Data sharing
    • Business applications

GenAI powered pipeline automation

  • Design
  • Generate
  • Automate
  • Optimize
  • Kiro
  • Amazon Q
  • GitHub Copilot
  • Generate pipeline code and configs
  • Automate CI/CD and deployments
  • Optimize and troubleshoot pipelines
  1. Source and pipeline configWhat to move and how
  2. Generate codeJobs, configs, pipelines
  3. GitLab CI/CDAutomate build and deploy
  4. TerraformInfrastructure as code
  5. DeployOn AWS and Azure

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.

More about us →

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.

See the full curriculumBook a free demo
  1. 01Introduction to Data Engineering & Cloud Foundations
  2. 02Python for Data Engineering
  3. 03PySpark for Big Data Processing
  4. 04Data Lakehouse Architecture on AWS
  5. 05AWS S3: Storage, SDK & Data Ingestion
  6. 06AWS Glue, Athena & Apache Iceberg
  7. 07End-to-End Incremental Pipeline: Raw → Cleansed → Curated → Redshift
  8. 08Monitoring, Security & Config-Based Pipeline Patterns
  9. 09Infrastructure as Code & CI/CD Deployment
  10. 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

All courses →
Enrolling now

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.

AWSPythonPySparkApache Iceberg+5
Level
Beginner to Intermediate
Duration
60 days
View syllabus
Enrolling now

IDMC (Informatica) Cloud Data Integration

Learn Informatica Intelligent Data Management Cloud (IDMC, earlier IICS) Cloud Data Integration hands-on. Set up the secure agent and connections, build mappings and mapping tasks, replicate, mask and mass ingest data, orchestrate with taskflows, tune performance and automate everything with schedules and REST APIs.

Informatica IDMCIICS CDISecure AgentMapping Designer+4
Level
Beginner to Intermediate
Duration
Shared on demo call
View syllabus
Coming soon

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.

DatabricksDelta LakeUnity CatalogApache Spark+2
Level
Intermediate
Duration
To be announced
See plan and join waitlist
Coming soon

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.

Pythonpandasscikit-learnAmazon SageMaker+2
Level
Beginner to Intermediate
Duration
To be announced
See plan and join waitlist

How your journey works

  1. 01

    Free live demo

    Watch a real pipeline built live and ask your questions.

  2. 02

    Live classes

    Instructor-led sessions with recordings shared after class.

  3. 03

    Build projects

    Hands-on labs on your own AWS account, pushed to GitHub.

  4. 04

    Career support

    Resume, mock interviews and job openings shared with you.

Schedule

Upcoming sessions

Full schedule →
Free Demo

Next date on WhatsApp

Time shared on WhatsApp

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.

Reserve a demo seat
New Batch

Enrolling now

Morning batch, IST

AWS Data Engineering

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.

Enquire for this batch
New Batch

Enrolling now

Morning batch, IST

IDMC (Informatica) Cloud Data Integration

Small batch, live online. Secure agent, Cloud Mapping Designer, taskflows, mass ingestion, performance tuning, admin and REST APIs with hands-on labs.

Enquire for this batch
Coming Soon

To be announced

To be announced

Databricks on AWS workshop

Lakehouse architecture, Spark transformations and Databricks native tools. Join the waitlist for early access.

Join the waitlist

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 →
Typical training
The D2X way
Slides and theory heavy
Every concept shown in a working pipeline
Shared demo accounts
Your own AWS account, your own GitHub portfolio
Old tools only
Modern stack: Iceberg, Terraform, GitLab CI/CD, Amazon Q, Kiro IDE
Crowded classrooms
Small batches with mentor guidance
Big claims on placement
Honest guidance, interview prep and real job leads

From the blog

Data engineering, explained clearly

All articles →
Wrong price for three days: a shop chatbot quoting old data, and the collect, clean, deliver pipeline that feeds AI

Data First · EP01

Why AI Needs Data Engineering: The Data Behind Every Answer

AI is only as good as the data behind it. See why every AI system needs data engineers to collect, clean and deliver data, and which skills that job needs.

Read article →
PowerCenter, now IDMC: on premises PowerCenter mappings and workflows moving to IDMC Cloud Data Integration in the cloud

Informatica

IICS vs PowerCenter: Differences and Which to Learn

IICS vs PowerCenter explained: architecture, cost model and support status, which Informatica tool to learn now, and how PowerCenter skills carry over.

Read article →

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. For the free live demo, 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, early morning IST. Pick AWS Data Engineering or IDMC (Informatica), meet your trainer, see the course plan and get a clear path for your career.

  • The full course plan and project flow
  • The hands-on project you will build
  • How GenAI tools speed up data work
  • Timings, fees and your questions answered

No spam. We only call about your enquiry.

Same data. Bigger opportunities.

Book the free live demo or WhatsApp us. We will suggest the right path for your background and goal.

Book free demoWhatsApp us