Data & AI

Data Engineering

Build Data Pipelines That Power Modern Analytics

Learn the fundamentals of Data Engineering and understand how data is collected, stored, transformed, processed, and delivered for analytics and applications.

Build a practical foundation in SQL, Python, databases, ETL/ELT, data pipelines, data warehousing, big data concepts, cloud data platforms, and workflow orchestration through hands-on exercises and real-world data engineering scenarios.

Data Engineering

ConsivoX Certified

16 Modules • Live Mentorship

Course Highlights

Duration

16 – 32 Hours

Learning Tracks

Foundation • Professional • Advanced

Level

Beginner to Advanced

Curriculum Scope

16 Modules • Live Mentorship

Practical Focus

Hands-On Case Studies & Labs

Hands-On

Live & Capstone Development

Outcome

Real-World Production Projects

Credential

Certificate of Completion

Core Outcomes

What You'll Learn

Key Competencies
Data Engineering fundamentals
Data Engineering lifecycle
Databases and data storage
SQL for Data Engineering
Python for data processing
Data ingestion

Why Learn Data Engineering?

Modern organizations depend on reliable data pipelines to move information from different sources into systems where it can be analyzed and used for decision-making.

Industry-Aligned Curriculum

Gain practical mastery of Data Engineering concepts matching modern production standards.

Hands-On Project Building

Develop production-grade applications and case studies directly for your professional portfolio.

Career & Interview Readiness

Acquire the technical confidence and problem-solving skills required for high-impact roles.

FLEXIBLE FORMATS

Data Engineering — Modes of Learning

Choose the learning mode that fits your schedule, lifestyle, and career goals with hands-on practice built in.

16 Hours

Foundation

₹5,500 • 16 Hours

Master essential foundations with live instructor-led sessions, 6-month LMS access, and core learning materials.

16+ Hours of Live Instructor-Led Sessions
LMS Access for 6 Months
Course Materials & Learning Resources
Most Popular

Professional

₹7,500 • 24 Hours

Elevate your practical skills with 1:1 doubt clearing sessions, dedicated mentor support, and extended lab work.

24+ Hours of Live Instructor-Led Sessions
One-on-One Doubt Clearing Sessions
LMS Access for 6 Months
Dedicated Mentor Support
Career Track

Advanced

₹9,000 • 32 Hours

Comprehensive career masterclass featuring extensive live sessions, 1:1 mentor syncs, interview prep, and placement guidance.

32+ Hours of Live Instructor-Led Sessions
One-on-One Doubt Clearing Sessions
LMS Access for 6 Months
Dedicated Mentor Support
Placement Guidance
Interview Assistance
STRUCTURED ROADMAP

Data Engineering Curriculum

Step-by-step learning progression designed for practical mastery, from fundamentals to production-ready deployment.

16 Modules16+ Hours Live & Hands-On

Key Concepts Covered:

  • What is Data Engineering?
  • Role of a Data Engineer
  • Data Engineering Lifecycle
  • Data Sources & Data Consumers
  • Data Engineering vs Data Science & Analytics

Key Concepts Covered:

  • Database Fundamentals
  • Relational Databases
  • Tables, Rows & Columns
  • Primary & Foreign Keys
  • Database Design Basics

Key Concepts Covered:

  • SQL Fundamentals
  • SELECT, WHERE & ORDER BY
  • Joins & Relationships
  • Aggregation & Grouping
  • Subqueries & Data Extraction

Key Concepts Covered:

  • Python Fundamentals
  • Functions & Modules
  • Lists, Dictionaries & Data Structures
  • File Handling
  • Python for Data Processing

Key Concepts Covered:

  • What is Data Ingestion?
  • Structured & Unstructured Data
  • CSV, JSON & API Data
  • Batch Data Ingestion
  • Data Source Connectivity

Key Concepts Covered:

  • What is ETL?
  • What is ELT?
  • Extracting Data
  • Transforming Data
  • Loading Data

Key Concepts Covered:

  • Data Cleaning
  • Handling Missing & Duplicate Data
  • Data Type Transformation
  • Data Standardization
  • Transformation Workflows

Key Concepts Covered:

  • What is a Data Pipeline?
  • Pipeline Architecture
  • Pipeline Stages
  • Batch Processing
  • Pipeline Reliability

Key Concepts Covered:

  • What is a Data Warehouse?
  • OLTP vs OLAP
  • Fact & Dimension Tables
  • Star Schema
  • Data Warehouse Workflow

Key Concepts Covered:

  • What is a Data Lake?
  • Data Lake vs Data Warehouse
  • Structured & Unstructured Data
  • Data Lake Architecture
  • Modern Data Platform Concepts

Key Concepts Covered:

  • Big Data Fundamentals
  • Distributed Data Processing
  • Apache Spark Introduction
  • Spark Data Processing Concepts
  • Large-Scale Data Workflows

Key Concepts Covered:

  • Batch vs Streaming
  • Real-Time Data Processing
  • Event-Based Data
  • Streaming Pipeline Concepts
  • Real-Time Data Applications

Key Concepts Covered:

  • What is Workflow Orchestration?
  • Pipeline Scheduling
  • Task Dependencies
  • Apache Airflow Concepts
  • Monitoring Pipeline Workflows

Key Concepts Covered:

  • Data Quality Fundamentals
  • Data Validation
  • Pipeline Monitoring
  • Data Access & Security
  • Error Handling & Recovery

Key Concepts Covered:

  • Data Source Identification
  • Data Ingestion
  • Data Transformation
  • Pipeline & Storage Design
  • Data Validation & Monitoring
  • Project:
  • End-to-End Sales Data Pipeline
  • Build a practical data pipeline that collects sales data, processes and transforms it, stores the resulting data in an analytical structure, and makes the processed dataset available for reporting or analysis.

Key Concepts Covered:

  • End-to-End Data Engineering Workflow
  • Pipeline Design Assessment
  • Data Quality & Troubleshooting
  • Project Presentation
  • Data Engineering Career Roadmap

Everything You Need to Master Data Engineering

Comprehensive technical foundation, modern tooling, and production workflows packed into a focused, hands-on curriculum.

Data Engineering Fundamentals

Master core Data Engineering principles, scalable architectures, and practical techniques.

Database Fundamentals

Understand the role, lifecycle, architecture, and responsibilities of Data Engineers.

SQL Practice

Learn how data is stored and organized in relational database systems.

Python for Data Engineering

Write SQL queries to extract, join, transform, and aggregate data.

Data Ingestion

Use Python for data processing, file handling, automation, and pipeline tasks.

ETL & ELT

Understand how data enters modern data platforms from files, databases, APIs, and other sources.

Real-World Projects You'll Build

Build production-grade applications that demonstrate your skills to engineering recruiters and hiring managers.

Capstone SpotlightData & AI Project

Sales Data Pipeline

Build

Key Features:

  • An ETL pipeline that processes sales data from multiple sources.
  • Data ingestion
  • Data cleaning
  • Data transformation
  • Database loading
  • Data validation
Data EngineeringConsivoXPortfolio
Production Ready
Project 02Data & AI Project

E-Commerce Data Warehouse

Build

Key Features:

  • A simplified analytical data warehouse for an e-commerce business.
  • Fact and dimension tables
  • Star schema
  • Customer data
  • Order data
  • Product data
  • Analytical SQL queries
Data EngineeringConsivoXPortfolio
Production Ready
Project 03Data & AI Project

API Data Ingestion Pipeline

Build

Key Features:

  • A pipeline that retrieves data from an external API and processes it automatically.
  • API data extraction
  • JSON processing
  • Data transformation
  • Database storage
  • Pipeline automation concepts
Data EngineeringConsivoXPortfolio
Production Ready
Project 04Data & AI Project

Real-Time Monitoring Pipeline

Build

Key Features:

  • A conceptual streaming pipeline for processing continuously generated data.
  • Event-based data
  • Streaming concepts
  • Data processing
  • Real-time monitoring
  • Pipeline status tracking
Data EngineeringConsivoXPortfolio
Production Ready
OFFICIAL CREDENTIALS

Government Recognized Industry Certification

Earn authentic, verifiable credentials recognized by industry leaders and verified via Startup India, MSME, and the Ministry of Corporate Affairs.

TIER 01 • Silver PerformerSilver Performer

Silver Certificate

Validates core engineering fluency, active internship engagement, and successful project submissions.

100% completion of course modules & domain internship tasks
Practical evaluation across live project milestones
Code submissions reviewed and approved by mentors
Unique QR code verification valid for lifetime authentication
Verified Internship Credential & LinkedIn Badge
Silver Certificate — ConsivoX Solutions
View Full Certificate
Official QR & Govt. AccreditedClick to Enlarge

Government & Corporate Recognition

Accredited under Startup India, MSME, and Ministry of Corporate Affairs.

Verifiable Dynamic QR Code

Instant online validation for recruiters and hiring managers.

LinkedIn One-Click Integration

Seamlessly showcase verified credentials on your professional profile.

Chat on WhatsApp