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Data Engineering with Python & SQL

Java Courses - Enhanced Hero Section

Data Engineering with Python & SQL Training + Placement Support

Learn to build reliable data pipelines, transform raw data, and prepare enterprise-level datasets for analytics and machine learning.

Job-Oriented Training from Basics
4.9★ Learner Rating
5,600+ Students Trained

Data Engineering forms the backbone of every data-driven organization. This program trains you to collect, clean, transform, store, and automate data workflows using Python, SQL, Data Pipelines, ETL Processes, APIs, and Cloud Data Tools. You will work with structured & unstructured datasets, build end-to-end ETL pipelines, and deploy data workflows similar to real production environments. This course prepares you for Data Engineering, ETL Developer, and Database Developer roles.

Suitable for Beginners & IT / Non-IT Career Shifters.
Suitable for Beginners & IT / Non-IT Career Shifters
Enroll Now
Hands-On Projects & Pipeline Labs
End-to-End Data Pipeline Deployment Project
70+
Data Transformation Exercises
Lifetime Access to Notes, Code & Recordings
Data Engineering with Python & SQL - Enhanced Design

What You Will Learn in Data Engineering with Python & SQL

A practical step-by-step path to building scalable data processing workflows.

SQL for Data Engineering (Core Foundation)

2 Weeks
SELECT, FILTER, JOINS, GROUP BY
Subqueries & Window Functions
Stored Procedures, Views & CTEs
Data Cleaning & Aggregation Queries

Python Programming for Data Processing (Key Data Skills)

2 Weeks
Python Syntax & Data Structures
Working with CSV, Excel, JSON & Database Files
Pandas for Data Wrangling
Using APIs for Data Extraction

ETL (Extract, Transform, Load) Pipelines

1.5 Weeks
ETL Concepts & Architecture
Data Cleaning & Transformation Workflows
Loading Data into Databases / Data Lakes

Data Warehousing & Storage Systems

1 Week
Data Warehouse vs Data Lake
Star & Snowflake Schema
Dimensional Modeling Basics

Workflow Scheduling & Automation

1 Week
Cron Jobs
Python Scheduling
Introduction to Apache Airflow (Optional upgrade)

Capstone Project (Portfolio-Ready)

1 Week
Build a Data Pipeline from Scratch
Extract → Transform → Load into SQL / Cloud
Generate Data Reports & Document Workflow
Programs with Mentor Section

TRAINER PROFILE

Senior Data Engineer & Cloud Data Specialist

11+ Years of Experience in Data Pipelines, Analytics, Cloud Storage Systems & ETL Automation.

Worked in Banking, SaaS, E-Commerce, Retail & Big Data environments.

Trained 5,600+ learners into data engineering & analytics careers.

Focus: Strong logic, workflow clarity, real production approach & interview readiness.

Speak with Mentor @ +91 9344259572
Mentor video thumbnail

CURRICULUM BREAKDOWN

Core Skill Areas

  • SQL Query Development
  • Python for Data Wrangling
  • ETL Workflow Design & Implementation
  • Real Datasets from Finance / Retail / E-Commerce
  • Cloud Integration Pathways (AWS / GCP optional extension)

Advanced Concepts

  • Data Modeling
  • Data Warehouse Architecture
  • Pipeline Monitoring & Logging

MODES OF TRAINING

Online Training

Interactive instructor-led sessions.

Classroom Training

Hands-on computer lab environment.

One to One Training

Tailored learning & project guidance.

Team / Corporate Training

Team pipeline development training.

CAREER PATHS

This course opens opportunities in data engineering, analytics, backend, and cloud teams.

Data Engineer

Data Engineer Design & maintain data pipelines and workflows.

ETL Developer

Extract & transform business data for analytics.

SQL Developer

Build queries & manage relational data systems.

Data Analyst (with BI tools add-on)

Analyze business datasets for insights.

RELEVANT TOOLS & TECHNOLOGIES

Python (Pandas, Requests) MySQL Python ETL Scripts REST API Data Extraction CSV Cron Parquet JSON PostgreSQL / SQL Server Python Schedulers (Airflow Optional)

PROGRAM FEATURES

Practical Data Handling Experience

Work with real datasets and solve real business problems to develop job-ready data skills.

#RealWorldData #PortfolioReady

Beginner to Job-Ready Learning Path

A structured program designed for non-coders and career switchers — progress from basics to professional-level projects.

#CareerTransition #ZeroToHero

Placement & Interview Preparation

Includes resume review, GitHub project setup, and mock interviews — everything to make you job-ready.

#PlacementSupport #JobReady

Lifetime Learning Support

Get lifelong access to all session recordings, updated resources, and alumni support for continuous learning.

#ContinuousLearning #AlumniSupport

Java Course Overview

Top Skills

Top Skills You Will Learn

Data transformation, SQL query logic, Python data processing, ETL pipeline creation, schema design & data warehouse fundamentals.

High demand in analytics teams, SaaS platforms, cloud engineering companies, fintech, and enterprise IT

Freshers, testers, support engineers, Python learners, business analysts, non-IT career switchers, B.Com/B.Sc/BCA/B.Tech graduates.

No prior Python or SQL experience required — training starts from basics.s.

PROJECTS YOU WILL WORK ON

Retail Sales Data Pipeline Project

Retail Sales Data Pipeline Project Extract data → clean → transform → load → generate dashboard output.

Movie Analytics Dataset ETL Project

Build automated ETL script with data validation.

Capstone: End-to-End Data Pipeline

Documented workflow ready for interviews & GitHub portfolio.