8 WEEKS • PROJECT-DRIVEN • MENTOR-GUIDED

Data Engineering Mastery Bootcamp

"From Data Chaos to Intelligence — Build the Pipeline, Not Just the Code."

From raw data chaos to structured intelligence using AWS, Databricks, Spark, and modern data tools.

Build → Deconstruct → Rebuild → Scale → Reflect

8 Weeks

Intensive, project-driven bootcamp

Live Classes

Mentor-guided sessions

4+ Pipelines

Retail, IoT, NYC Taxi, Capstone

Expert Mentorship

Learn from industry practitioners

The Builder Arc for Data Engineers

Every class follows this immersive pattern

1

Build Something Now

FOCUS:

Create a working pipeline with a real dataset

EXAMPLE:

Ingest retail sales CSV into Databricks

2

Deconstruct the Magic

FOCUS:

Understand each step — ingestion, transformation, orchestration

EXAMPLE:

Explain what Spark does under the hood

3

Rebuild From Foundations

FOCUS:

Write modular Spark jobs and queries

EXAMPLE:

Convert SQL → PySpark

4

Scale to Real World

FOCUS:

Add automation, Airflow, and Terraform for deployment

EXAMPLE:

Schedule ETL jobs

5

Reflect + Teach

FOCUS:

Document insights and visualize results

EXAMPLE:

Post "Proof of Pipeline" on GitHub

8-Week Data Engineering Builder Journey

Build production-ready data pipelines from foundation to deployment

🧱
Week 1

Foundation Setup

Lay your bricks before the data flows.

BUILD ACTIVITIES:

  • •AWS Setup: Create S3 buckets (Bronze/Silver/Gold)
  • •Databricks Workspace: Configure cluster, notebook, access roles
  • •Spark Basics: Read/write CSV, JSON, Parquet
  • •Git + Versioning: Connect Databricks Repos

OUTCOME:

End-to-end S3 → Databricks → Query pipeline

⚙️
Week 2

Data Ingestion & Transformation

Turn raw chaos into structured insight.

BUILD ACTIVITIES:

  • •Ingest Real Datasets: NYC Taxi / Retail Sales / IoT sensor data
  • •Spark Transformations: Filter, join, aggregate with PySpark
  • •Delta Lake Concepts: Time travel, upserts, schema evolution

OUTCOME:

Curated Silver dataset ready for analytics

🔄
Week 3

Orchestration & Automation

Let data move while you sleep.

BUILD ACTIVITIES:

  • •Airflow DAGs: Automate daily ETL workflows
  • •Triggers & Scheduling: Run jobs on S3 updates
  • •Error Handling: Logging + retry mechanisms

OUTCOME:

Automated end-to-end ETL workflow with Airflow

🧩
Week 4

Data Modeling & Query Layer

Make data meaningful.

BUILD ACTIVITIES:

  • •Data Modeling: Star/Snowflake schema design
  • •Databricks SQL: Analytical queries, window functions
  • •Views & Optimization: Caching, Z-order, Delta optimization

OUTCOME:

Business-ready Gold layer with dashboards

☁️
Week 5

Infrastructure as Code

Build data pipelines that deploy themselves.

BUILD ACTIVITIES:

  • •Terraform Basics: Define AWS infrastructure as code
  • •IAM + Secrets Mgmt: Secure Databricks + S3 connectivity
  • •CI/CD Pipelines: GitHub Actions for deployment

OUTCOME:

Fully automated cloud deployment setup

📊
Week 6

Analytics, Quality, and Monitoring

Trust your data before you trust your insights.

BUILD ACTIVITIES:

  • •Great Expectations: Validate data quality automatically
  • •Monitoring Dashboards: Datadog / Prometheus for metrics
  • •Alerting & Logging: Slack/email alerts for pipeline failures

OUTCOME:

Observable and self-reporting data ecosystem

🚀
Week 7

Capstone Project: "Retail Data Pipeline"

From ingestion to insight.

BUILD ACTIVITIES:

  • •Ingest real-world sales + population data
  • •Clean and join in Bronze/Silver/Gold layers
  • •Automate with Airflow
  • •Validate with Great Expectations
  • •Deploy with Terraform

OUTCOME:

Real-time analytics dashboard + GitHub repo + presentation notebook

🏁
Week 8

Career & Demo Week

Show your pipeline, not your PowerPoint.

BUILD ACTIVITIES:

  • •Final project demo and peer review
  • •GitHub portfolio publishing
  • •Resume + LinkedIn optimization
  • •Mock interviews with scenario-based DE questions
  • •Recruiter connections + job prep sprints

OUTCOME:

"Proof of Data Engineering Mastery" GitHub repository + portfolio website

You Graduate With

4+ Full Data Pipelines (Retail, IoT, NYC Taxi, Capstone)

Advanced AWS + Databricks + Airflow + Terraform skills

GitHub + Portfolio + Live Project Demo

Production-ready cloud setup experience

Hire-ready for roles like:

Data EngineerSpark DeveloperCloud Data ArchitectAnalytics Engineer

Why MangoAcademy

"We don't teach tools. We build engineers."

✓

Build real pipelines

not just notebooks

✓

Learn production-grade cloud setup

AWS, Databricks, Terraform

✓

Gain storytelling power

with your builds

✓

Proof of Work

beats certificates

Ready to Build Data Pipelines?

Join our next cohort and transform from data enthusiast to production-ready data engineer with 4+ real pipelines in your portfolio.

Next cohort starts soon