Modern Data Engineering

Learn to build reliable data pipelines, transform raw data into analytics-ready datasets, and deliver dashboards-ready outputs.

Modern Data Engineering is a live, instructor-led program that teaches how real companies move data from sources to usable insights. You’ll learn data modeling basics, batch and streaming pipelines, data quality and governance, and how to build ETL/ELT workflows using industry-standard tools. The program is hands-on—labs, assignments, and a capstone project that proves you can build and maintain production-style pipelines.

Format Live Online
Duration 100 Hours
Start Date Cohort Based (Announced Soon)
Final Assessment Required
Prerequisites Basic SQL / Python (Preferred)
Enroll Now

Key Program Takeaways

Build end-to-end pipelines, learn data quality discipline, and gain the skills to support analytics, BI, and AI workloads.

Data Pipelines

ETL / ELT Workflows

SQL + Python

Hands On Practice

Data Modeling

Warehouse Basics

Batch + Streaming

Modern Patterns

Quality & Governance

Production Discipline

Analytics Ready

BI Friendly Outputs

List of Modules in this Program

01

Foundations

Data engineering roles, pipeline thinking, SQL refresh, Python basics for data, and intro to data stores.

02

ETL / ELT Pipelines

Ingestion patterns, transformations, scheduling, idempotency, and building reliable pipelines for production-style workloads.

03

Data Modeling & Warehousing

Dimensional modeling basics, partitioning, performance tuning, and creating analytics-ready datasets for dashboards.

04

Quality, Governance & Delivery

Data quality checks, lineage basics, versioning, documentation, and a capstone pipeline project with evaluation.

Why This Program

Industry Style Pipelines

Learn patterns used in real companies—reliability, scheduling, and monitoring.

Hands On Capstone

Build a full pipeline project that proves end-to-end delivery capability.

Quality Discipline

Learn data validation, testing mindset, and governance basics for production readiness.

Pipeline Patterns

Batch, streaming, retries, idempotency, and scheduling—built the right way.

Data Modeling

Design analytics-ready tables that make dashboards fast and reliable.

"
I finally understood how data moves in real companies. The capstone pipeline gave me confidence for interviews.

Neha Rao

Data Engineer

Data Quality

Checks, constraints, validation, and reliability mindset for production pipelines.

Analytics Outputs

Build datasets that power BI dashboards, reports, and AI workloads.

Capstone Pipeline

Deliver an end-to-end project: ingest, transform, validate, and publish analytics-ready tables with documentation.

Ingestion Transform Validate Publish

Get Certified

Earn a completion certificate and project review feedback on your capstone.

Certificate Modern Data Engineering