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Curriculam of Data Engineering Training in Pune
Curriculam Designed By Experts
Expertly designed curriculum for future-ready professionals.Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
- Overview of data engineering roles and responsibilities
- Evolution of big data and modern data platforms
- Understanding data pipelines and data lifecycle
- Difference between Data Engineer, Data Analyst, and Data Scientist
- Batch vs Real-time processing
- Introduction to structured, semi-structured, and unstructured data
- Popular data engineering tools and technologies
- Python basics: data types, functions, loops, modules
- Working with files, APIs, and data formats (CSV, JSON, XML)
- SQL fundamentals: joins, subqueries, window functions
- Data extraction, transformation, and loading using Python
- Pandas for data manipulation
- SQL performance optimization techniques
- Introduction to Data Warehousing concepts (OLAP, OLTP)
- Star and Snowflake schema design
- ETL vs ELT – definitions and use case
- Building ETL pipelines with tools
- Data loading strategies and scheduling jobs
- Data validation and reconciliation
- Working with dimensional modeling
- Introduction to big data and Hadoop ecosystem
- HDFS and MapReduce architectur
- Apache Spark core concepts (RDD, DataFrames, DAGs)
- Spark SQL and data manipulation
- Spark Streaming for real-time processing
- Overview of data ingestion architectures
- Batch vs streaming ingestion methods
- Introduction to Apache Kafka
- Kafka producers, consumers, and topics
- Integration of Kafka with Spark and Flink
- Ingesting data from various sources
- Overview of cloud computing for data engineering
- AWS/GCP/Azure data services comparison
- Using AWS S3, Glue, Redshift, and Lambda
- Google Cloud Storage, BigQuery, and Dataflow
- Cloud-based data pipelines and orchestration
- IAM, permissions, and security best practices
- Serverless architecture concepts
- Understanding orchestration and scheduling
- Apache Airflow fundamentals (DAGs, tasks, operators)
- Creating workflows for ETL pipelines
- Error handling and retry mechanisms
- Workflow monitoring and logging
- Data quality dimensions and validation rules
- Implementing data profiling and cleansing techniques
- Metadata management and lineage tracking
- Data cataloging tools (e.g., Apache Atlas, Amundsen)
- Introduction to data governance frameworks
- GDPR, HIPAA, and compliance considerations
- Dashboard integration or data export layer
- Documentation and presentation of the project
- Version control with Git and GitHub portfolio setup
- Career guidance, resume building, and mock interviews
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Data Engineering Training Projects
Become a Data Engineering Expert With Practical and Engaging Projects.- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Sales Data Cleaning and Transformation
Work with raw CSV files to clean, format, and transform sales data using Python and Pandas.
Focus on removing duplicates, handling nulls, and standardizing column values.
SQL-Based Retail Analytics Dashboard
Use SQL to extract insights from a retail database, such as top-selling products and monthly trends.
Design SQL queries involving joins, aggregations, and subqueries.
Weather Data Ingestion Script
Build a Python script to fetch weather data from a public API and store it in a database.
Automate the process using a basic scheduler like Cron (Linux) or Task Scheduler (Windows).
ETL Pipeline for E-Commerce Data
Design a complete ETL pipeline that extracts e-commerce transaction logs, transforms them into structured format, and loads them into a data warehouse.
Real-Time Twitter Sentiment Analysis
Capture live tweets through Twitter’s API and push them into a Kafka stream.
Consume data using Spark Streaming and analyze sentiment using basic NLP techniques.
Store the processed results in a NoSQL database like MongoDB.
Log Analysis Dashboard with Elasticsearch
Collect and parse system/application logs using Logstash and send them to Elasticsearch.
Visualize the metrics and trends in Kibana for monitoring purposes.
Data Lake Architecture on AWS
Design and implement a full-fledged data lake using AWS S3, Glue, Athena, and Lambda.
Ingest structured and unstructured data, define schema catalog, and enable querying.
Real-Time Fraud Detection System
Develop a real-time fraud detection system using Spark Structured Streaming and Kafka.
Ingest transactional data and apply rule-based and statistical checks on the fly.
Distributed Data Pipeline
Create a distributed ETL pipeline that runs across multiple containers using Docker and Airflow.
Manage complex workflows with dependency handling, retries, and logging
Career Support
Placement Assistance
Exclusive access to ACTE Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
Career Oriented Sessions
Resume & LinkedIn Profile Building
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Upcoming Batches
Weekdays
27 - Apr - 2026
08:00 AM (IST)
Weekdays
29 - Apr - 2026
10:00 AM (IST)
Weekends
2 - May - 2026
10:00 AM (IST)
Weekends
3 - May - 2026
10:00 AM (IST)
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INR ₹14499
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What's included
Free Aptitude and
Technical Skills Training
- Learn basic maths and logical thinking to solve problems easily.
- Understand simple coding and technical concepts step by step.
- Get ready for exams and interviews with regular practice.
Hands-On Projects
- Work on real-time projects to apply what you learn.
- Build mini apps and tools daily to enhance your coding skills.
- Gain practical experience just like in real jobs.
AI Powered Self
Interview Practice Portal
- Practice interview questions with instant AI feedback.
- Improve your answers by speaking and reviewing them.
- Build confidence with real-time mock interview sessions.
Interview Preparation
For Freshers
- Practice company-based interview questions.
- Take online assessment tests to crack interviews
- Practice confidently with real-world interview and project-based questions.
LMS Online Learning
Platform
- Explore expert trainer videos and documents to boost your learning.
- Study anytime with on-demand videos and detailed documents.
- Quickly find topics with organized learning materials.
Top Placement Company is Now Hiring You!
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Data Engineering Training Overview
Data Engineering Course in Pune Programmer Potential Career Paths
A certified data engineering programmer can pursue various high-demand roles such as Data Engineer, Big Data Engineer, ETL Developer, Cloud Data Engineer, or Data Pipeline Architect. With growing data needs across industries, these professionals are vital in designing, building, and maintaining systems that move and process massive datasets efficiently. Over time, with experience, data engineers can also transition into roles like Data Engineering Manager or Solution Architect.What Are the Requirements for a Data Engineering Training Course?
- Basic Programming Knowledge: Familiarity with Python, Java, or Scala helps in understanding data processing concepts.
- SQL and Database Fundamentals: Knowing how to query and manipulate data using SQL is crucial for most exercises.
- Understanding of Data Structures: Concepts like arrays, lists, and trees are important for data manipulation and storage.
- Awareness of Operating Systems (especially Linux): Basic Linux commands are often used when handling large data systems or deploying tools.
- Curiosity About Data Workflows: A strong interest in understanding how raw data becomes meaningful insight is essential for success.
Reasons to Consider Enrolling in Data Engineering Certification in Pune
- Growing Job Market: Pune is a tech hub with a rising demand for skilled data engineers across industries.
- Industry-Linked Training: Courses are often aligned with real job roles and technologies used by companies in Pune.
- Affordable and Accessible Education: Compared to other metros, Pune offers quality training at reasonable fees.
- Placement Support: Institutes here often have direct tie-ups with local IT firms, startups, and MNCs.
- Flexible Learning Modes: Options for online, weekend, and hybrid classes to suit working professionals and students.
Latest Advances in the Data Engineering training with Certification
- Dynamic Arrays: With functions like FILTER, SORT, and UNIQUE, Excel now allows users to manipulate and analyze data more dynamically. These functions eliminate the need for complex formulas and manual sorting, making data processing easier.
- XLOOKUP Function: A modern and more powerful replacement for VLOOKUP and HLOOKUP, XLOOKUP provides greater flexibility, allowing users to search for data in any direction and return multiple results with a single formula.
- Power Query Enhancements: Power Query is now more powerful with better data transformation and automation features. Users can import data from multiple sources, clean it, and automate recurring tasks, making large-scale data processing more efficient.
- Data Types & Smart Templates: Microsoft has introduced new data types, such as geography and stock data, allowing users to access live data directly within their spreadsheets. Additionally, smart templates help users streamline workflows by providing pre-built, customizable Excel models.
- Excel with Python Integration: One of the most significant advancements is Excel’s support for Python scripting. This feature enables data analysts and developers to use Python libraries within Excel for advanced statistical analysis, machine learning, and automation, making Excel a more powerful tool for data science applications.
Company Role Opportunities in the Data Engineering Course in Pune
After completing Data Engineering certification in Pune, learners can apply for roles such as Data Analyst, MIS Executive, Business Analyst, Reporting Specialist, and Operations Manager. Excel proficiency is a top skill across industries like banking, telecom, logistics, and retail, making it a powerful tool for career advancement. Employers value candidates who can turn raw data into actionable insights using Excel tools. With automation and visualization skills, professionals can lead data-driven initiatives in their organizations.
Add-Ons Info
Career Opportunities After Data Engineering
Data Analyst
Analyze large data sets and generate insights using Excel functions and pivot tables.
Build dashboards and visual reports to support decision-making.
Work with cross-functional teams to identify trends and business gaps.
MIS Executive
Prepare daily, weekly, and monthly reports using advanced Excel tools.
Use VLOOKUP, INDEX-MATCH, and macros to manage large datasets.
Present key metrics to management for business reviews.
Data Quality Engineer
Focuses on validating, cleansing, and profiling data across pipelines.
Uses tools like Great Expectations or Deequ to ensure accuracy and consistency.
Implements monitoring and alerting for data anomalies.
ETL Developer
Focuses on Extract, Transform, Load processes for moving data between systems.
Creates data workflows using ETL tools like Apache NiFi or Talend.
Ensures data integrity, quality, and compliance throughout the pipeline.
Big Data Engineer
Specializes in handling massive datasets using technologies like Hadoop and Spark.
Develops and manages systems for processing petabytes of data at scale.
Optimizes storage, processing, and retrieval for performance.
Cloud Data Engineer
Builds and maintains cloud-based data platforms on AWS, Azure, or GCP.
Implements data lakes, pipelines, and streaming solutions using cloud-native services.
Ensures security, cost optimization, and scalability in cloud data environments.
Skill to Master
Data Pipeline Design
SQL Mastery
Python for Data Engineering
Apache Spark
Data Warehousing
ETL/ELT Tools
Kafka & Streaming
Cloud Data Platforms
Docker & DevOps Basics
Orchestration with Airflow
Charting and graphical representation
Data Governance & Security
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Tools to Master
Apache Spark
Apache Kafka
Apache Airflow
Apache NiFi
SQL
Python
Hadoop Ecosystem
Excel Add-ins
AWS
GCP
Docker
MongoDB
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Our Instructor
Learn from certified professionals who are currently working.
Training by
Ram, having 12+ yrs of experience Specialized in: Apache Spark, Apache Airflow. Note: Rohit is widely respected for his expertise in cloud data platforms and real-time data pipelines. He’s known for simplifying complex architecture patterns.Premium Training at Best Price
Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.
What Makes ACTE Training Different?
Feature
ACTE Technologies
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Fees With Limited Payment Options.
Industry Experts
Well Experienced Trainer From a Relevant Field With Practical Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Certifications With Global Validity.
Basic Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
LMS Features
Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.
No LMS Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
Job Assistant Program
We are proud to have participated in more than 40,000 career transfers globally.
Data Engineering Certification
GET A SAMPLE CERTIFICATE
- Tech Hub Advantage
- Access to Industry Experts
- Affordable Learning
- Strong Placement Support
- Practical Learning Approach
- Gain hands-on experience with top tools like Spark, Kafka, and Airflow.
- Learn how to build scalable data pipelines and manage big data workflows.
- Open doors to high-paying roles such as Data Engineer, ETL Developer, or Cloud Data Specialist.
A certification guarantees a job. It shows employers that you have formal training and a structured understanding of data engineering concepts. When combined with practical project work, strong problem-solving skills, and internship
Most placement-oriented data engineering certification exams do not have strict prerequisites. However, having basic knowledge of programming (especially Python or SQL), familiarity with databases, and an understanding of data structures can be helpful.
- Understand the Exam Syllabus
- Practice Python & SQL
- Work on Real Projects
- Take Mock Tests
- Join Study Groups or Forums
Yes, most data engineering certification exams can be taken online through authorized platforms. You’ll need a stable internet connection, a webcam, and a quiet testing environment.
- Basic Programming Knowledge (Python, SQL, or Java)
- Familiarity with Databases and Queries
- Understanding of Cloud Concepts
- Analytical Thinking and Problem Solving
Absolutely. With the explosion of data across industries, data engineers are in high demand. A well-structured course not only equips you with in-demand skills but also opens the door to high-paying roles in analytics, cloud computing, and AI.
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Frequently Asked Questions
- Yes, most reputed training institutes in Pune offer free career counseling before enrollment. These sessions help assess your background, career goals, and technical readiness, and guide you toward the right specialization within data engineering.
What Teaching Methods Are Used During Training?
- Training typically includes a blend of live instructor-led sessions, hands-on labs, recorded video modules, live projects, and assignments.
- Some institutes also use case studies, quizzes, and mentorship sessions to ensure interactive and practical learning.
What Kind of Companies Hire Data Engineering Graduates?
- Tech Giants
- Product-Based Companies
- Consulting Firms
- Data-Driven Enterprises
Does the Course Include Certification Exams?
- Yes, most comprehensive training programs include a certification exam at the end of the course. Some also prepare you for external certifications like Google Cloud Certified, Data Engineer AWS Certified Data Analytics
Can I Include My Live Project Work in My Final Portfolio?
- Absolutely! In fact, you're encouraged to include live projects in your portfolio. Projects involving data pipelines, cloud workflows, and streaming data systems demonstrate your practical ability to future employers
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