Datadives Academy| Bangalore

We Do Not Just Teach. We Make You Build.

A project-based learning and residency program for new graduates and early-career engineers. Build real-world data engineering skills through hands-on systems and mentor-led projects.

12

Week Program

8+

Real Projects

1:1

Mentorship

No fake experienceVerifiable projectsIndustry mentors
Why Datadives Academy?

Most courses stop at theory. We go beyond.

Most data engineering courses stop at theory. Datadives Academy goes beyond teaching. We help learners apply concepts through real-world pipelines, cloud architecture, SQL optimization, workflow orchestration, Spark processing, dbt modeling, data quality checks, and deployment-ready project work.

8-12
Weeks Program
100%
Project-Based
1:10
Mentor Ratio
Real
Industry Problems
What Makes Us Different

An Engineering Residency, Not Just a Course

We believe real learning happens when you build real things. Our approach is fundamentally different.

01

Learn by Building

Every concept is applied through hands-on implementation. No passive lectures.

02

Real-World Case Studies

Industry problems from Indian businesses - MSMEs, startups, and enterprises.

03

Production-Style Projects

Git workflows, CI/CD pipelines, code reviews, and real deployments.

04

Code & Architecture Reviews

Learn to write maintainable, scalable code that works in production.

05

GitHub Portfolio

Build a portfolio that demonstrates real skills to employers.

06

Mentor-Led Residency

Guided learning with experienced data engineers from Datadives.

07

Labs Exposure

Work on real products being built at Datadives Labs.

08

India-Focused Problems

GST, compliance, MSME workflows, and local business challenges.

Built in Bangalore for engineers across Bharat

Flagship Program

Applied Data Engineering Residency

8-12 Weeks
New Graduates, Interns, Junior Engineers, Career Switchers
Production-Ready Skills

Program Outcome

By the end of the program, learners will have built a complete data engineering portfolio with pipelines, orchestration, cloud storage, transformations, quality checks, dashboards, documentation, and deployment-ready workflows.

End-to-end data pipelines
Cloud architecture on AWS
Apache Spark processing
Airflow orchestration
dbt transformations
Data quality frameworks
SQL optimization
Deployment and monitoring
View Full Curriculum
Curriculum

Courses and Tracks

Each course is designed for hands-on application with real data and production patterns.

SQL Internals and Advanced SQL

Master joins, windows, CTEs, query plans, indexing basics, optimization, data modeling, slowly changing dimensions, and analytics-ready SQL.

Python for Data Engineering

Build production-style Python scripts, APIs, file processors, validators, logging, exception handling, packaging, and reusable utilities.

Apache Spark Internals

Understand Spark architecture, executors, partitions, shuffling, caching, joins, memory tuning, Spark SQL, performance debugging, and production Spark patterns.

AWS Data Engineering

Build cloud-native data workflows using S3, Glue, Lambda, Athena, DynamoDB, IAM, Step Functions, EventBridge, and monitoring patterns.

Apache Airflow

Learn DAG design, scheduling, sensors, operators, task dependencies, retries, backfills, SLAs, datasets, dynamic DAGs, and production orchestration practices.

dbt for Analytics Engineering

Learn dbt models, sources, seeds, snapshots, tests, macros, documentation, incremental models, and modern transformation workflows.

Data Quality and Observability

Build validation checks, anomaly detection rules, reconciliation logic, pipeline monitoring, alerts, audit tables, and data reliability dashboards.

Real-World Capstone Project

Build an end-to-end data engineering solution using batch ingestion, transformation, orchestration, quality checks, reporting, and documentation.

Project Residency

Supervised project experience with real mentorship

The Datadives Project Residency gives selected learners the opportunity to work on supervised internal projects, automation templates, data pipelines, and product modules inspired by real industry problems. Residents receive mentorship, reviews, and portfolio guidance while contributing to structured assignments.

  • Work on real internal projects
  • Mentorship from senior engineers
  • Code and architecture reviews
  • Portfolio-worthy deliverables
  • Verifiable project completion

Important Note

Please read and understand before applying.

The residency is a learning and project-based program. It is not a promise of employment, salary, or fake work experience.

Datadives provides honest project completion certificates, portfolio proof, and verification of completed work.

We do not offer "pay and get experience" schemes. We offer genuine project exposure under mentorship.

Built for India's data and automation future.

Example Projects

What learners may build

Real-world projects inspired by actual business problems and industry requirements.

01

S3 to Data Lake ingestion pipeline

02

Airflow-based batch orchestration system

03

Spark transformation and reconciliation job

04

dbt analytics warehouse model

05

Data quality and anomaly detection framework

06

MSME automation workflow

07

Document OCR and extraction pipeline

08

Natural language to SQL dashboard

09

GST/invoice validation workflow

10

Real-time alerting and monitoring pipeline

Program Journey

Your 12-week transformation

Week 1-2

Foundations

SQLPythonGitData Modeling
Week 3-4

Cloud Data Engineering

AWS S3GlueLambdaAthena
Week 5-6

Distributed Processing

Apache SparkPySparkOptimization
Week 7-8

Orchestration

Apache AirflowDAGsScheduling
Week 9-10

Transformations

dbtData QualityTesting
Week 11-12

Capstone

End-to-end ProjectPortfolioMock Interview
Who Should Apply

Is this program for you?

New Graduates

Who want real project confidence before their first job.

Interns

Who want genuine industry exposure beyond college projects.

Junior Data Engineers

Who want to level up with production-grade skills.

Software Engineers

Moving into data engineering and need structured learning.

Analysts

Transitioning to analytics or data engineering roles.

Working Professionals

Preparing for cloud data roles and certifications.

Ready to become an applied data engineer?

Join Datadives Academy and learn data engineering the way it is used in real projects. Build skills that matter.

No fake experience. Only verifiable project work. Built for India.