ETL Design & Development Framework Weekend Batch
Cloud & Data Engineering
ETL Design and Development
Modules
10
Classes
LIVE12
Labs
10
Duration
26 hr
Start Date
Aug 08, 2026
End Date
Sep 13, 2026
This Cohort Includes
Live Lectures
Interactive live sessions with real-time doubt resolution.
Expert Support
Direct access to industry mentors for personalized guidance.
Hands-on Labs
Practical training sessions with real-world applications.
Recognition
Official certification recognized by top-tier organizations.
Cohort Curriculum
10 modulesThis is weekend program is delivering Saturday & Sunday.
This is weekend program is delivering Saturday & Sunday.
This is weekend program is delivering Saturday & Sunday.
This is weekend program is delivering Saturday & Sunday.
This is weekend program is delivering Saturday & Sunday.
This is weekend program is delivering Saturday & Sunday.
About This Cohort
From Beginner to Advanced · 6-Week Live Program
- 24-30 hours live instructor-led sessions (2 Sessions/Week).
- 365 Days Access of all session recordings.
- 4 detailed module slide decks (PPTX).
- 10 lab exercises with solution explanation & review.
- Capstone project with mentor review.
- Practyc certificate of completion.
- Free Group Mock Interview Practice Session.
Learning Outcome
12 Job-Ready Skills You'll Walk Away With
🏗️ Design ETL & ELT Architectures.
🔁 Build Incremental Pipelines with Watermarks.
⚡Implement Change Data Capture (CDC).
🗄️Drive ETL with Metadata & Control Tables.
⭐Model Data with Star Schema.
📐Write Advanced SQL Transformations.
🛡️Build Production-Grade Error Handling.
🔬Automate Data Validation (4-Check Framework).
🎯Orchestrate Pipelines with Apache Airflow.
🏛️Architect a Lakehouse (Bronze → Silver → Gold).
🔒Secure PII Data & Meet DPDP Compliance.
📊 Monitor Pipelines with SLA Dashboards.
Ratings & Reviews
Student Feedback
Overall Rating
"I had a great discussion with you about my skills and my transition into Data Engineering. He patiently reviewed my background, understood my goals, and provided clear, practical guidance on how to make the switch successfully. His advice was honest, insightful, and gave me a clear roadmap to start my Data Engineering journey with confidence. What impressed me the most was that he offered all this guidance completely free of cost, genuinely wanting to help. I truly appreciate his time, knowledge, and willingness to mentor others. I highly recommend connecting with him if you're looking for career guidance or planning a transition into Data Engineering."
sumanta kar
Jul 13, 2026
"I had an amazing one to one call with Rahul. He provided me with all the points necessary before a major interview. His way of explaining the concepts is accurate and to the point. He listens to all the queries and promptly provides the solution for them."
Shashi Choudhary
Jul 10, 2026
"The session was good."
Vinod Biradar
Jul 7, 2026
"⭐⭐⭐⭐⭐ I had a great experience connecting with Rahul Sir for guidance on the Data Engineering roadmap. He provided a clear, structured, and practical learning path, making it easy to understand what to focus on at each stage. He patiently answered all my questions and shared valuable insights based on his experience. His guidance has given me the confidence and clarity to move forward in my Data Engineering journey. I truly appreciate his time, support, and mentorship. Highly recommended to anyone looking for genuine career guidance!"
Bhakta Charan Nanda
Jul 7, 2026
"Completed, Very useful to crack the interview"
S.Sriranga prasath prasath
Jun 12, 2026
"The way Rahul delivered the session was amazing"
Vilasagaram Saishiva
Jun 12, 2026
"Very Good experience with Rahul as mentor. He explained concepts in very well and detailed manner. Thanks Rahul for giving such an informative session."
Sachin Gorade
Jun 11, 2026
No written review.
Kundan Kumar
Jun 11, 2026
"good informative session for pyspark architecture"
seshadri sastry
Jun 9, 2026
"Session was good. Got to know new things"
Gaurav Patil
Jun 9, 2026
"It is completely meaningful and complete insights provided by Rahul on Apache spark."
Parag Kulkarni
Jun 8, 2026
"Had a great connect with Rahul on AI career guidance for freshers. The guidance was practical, clear, and helped understand the right direction to move forward. What stood out was the genuine discussion around real-world data engineering challenges and how one can grow into a good Data Architect. Honest guidance without any unnecessary upselling - highly recommended for anyone exploring Data Engineering."
Deo Yadav
Jun 7, 2026
No written review.
Pradeep Deshnur
Jun 7, 2026
"Its good"
Mohd Irfan Shahid
Jun 6, 2026
No written review.
magesh s
Jun 6, 2026
No written review.
Pavan R Rao
Jun 6, 2026
"The content is good"
Pratyush Gupta
Jun 4, 2026
"Good master class, i learnt a lot. Keep it up Rahul, thak you for the wonderful session"
DINESHKUMAR BM
Jun 2, 2026
"No communication regarding class timings. Emailed. No response. Got response after class. Pls accommodate in next class"
Prashant Mahapatra
Jun 1, 2026
No written review.
Venkata Amarnath
Jun 1, 2026
"It's a very good session with a lot of details on Spark and even the scenario QnA was awesome"
MaheshChandra R
May 31, 2026
"The training session was very useful and covered the topics in a practical and easy-to-understand manner. It enhanced my understanding of the concepts and provided valuable industry insights."
Manickavelayuthum Rajkumar
May 29, 2026
"Excellent session"
PRAMOD PAWAR
May 29, 2026
"Session was highly informative. Instructor explained each and every topic very well."
DILIP MISHRA
May 29, 2026
No written review.
surya teja
May 29, 2026
"In depth and easy explanation of complex topics"
rajan joshi
May 29, 2026
No written review.
Srinivas Rao
May 29, 2026
"4 hours session gives more Spark knowledge and highly recommend"
jilan shaik
May 28, 2026
No written review.
Pavan R Rao
May 28, 2026
"This Spark Architecture Masterclass was extremely informative and well-structured. The concepts were explained clearly with practical examples, making complex topics like DAG execution, Catalyst Optimizer, and Memory Architecture easy to understand. The real-world case study added great value and connected theory to industry use cases. Highly recommended for anyone looking to strengthen their Spark fundamentals and architecture knowledge."
Abhishek Chaukiyal Chaukiyal
May 26, 2026
"The Experience was too good. It helps to undrstand the Spark Architecture in detail deep. I am very thankful to practyc team. I learn a lot in detilas and cleared the concept like DAG architechture fault tolerance and recovery as well as spark memory architecture."
Tusharkumar Veer
May 25, 2026
"This Apache Spark Architecture Session is very useful as it contains deep detailed aspects of spark big data processing in easy manner."
Velavan P
May 25, 2026
"The spark master class was highly informative and well-structured, making complex concepts easy to understand. The instructor was engaging and practical insights provided were valuable for real world application"
raj me
May 25, 2026
"Got overview of the Pyspark and how it works actually Thanks"
Malik konduri
May 24, 2026
"very informative, precise content very much helpful for understanding performance tuning, very much helpfull from interview prospect"
Anil Vainala
May 23, 2026
"good"
kapil dhadse
May 19, 2026
"Wonderful and engaging session"
vinay krishna
May 19, 2026
"Great session, it was deep dive on Spark architecture which cleared most of the doubts.Thanks"
mithilesh gangde
May 18, 2026
"Great sessions! very informative and interactive learned a lot."
Shailja Rai
May 16, 2026
"Wonderfull session conducted by rahul the session was very intractive"
pranjal gautam
May 14, 2026
"Very informative session with clear explanations and practical insights into Spark Architecture. Learned a lot about how Spark works under the hood."
raghav gupta
May 14, 2026
"Excellent guidance by sir"
pranjal gautam
Apr 26, 2026
"Great learning experience."
Rahul Neekhra
Oct 31, 2025
Frequently Asked Questions
35 questions answered
1. What is this cohort about?
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This is a 6-week live instructor-led cohort focused on ETL Design & Development Framework. The program is platform agnostic, which means the concepts and practices can be applied across modern data engineering technologies such as SQL, Python, Apache Spark, Databricks, Snowflake, Azure Data Factory, Microsoft Fabric, AWS Glue, Informatica, Talend, and many more.
2. Who should join this cohort?
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This cohort is ideal for: Data Engineers ETL Developers BI Developers Data Analysts transitioning into Data Engineering Software Engineers moving into Data Engineering Cloud Data Professionals Experienced professionals looking to improve ETL architecture skills
3. Is this course suitable for beginners?
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A basic understanding of SQL and programming concepts is recommended. While the cohort starts from fundamentals, it is primarily designed for professionals who want to build production-ready ETL design skills.
4. How long is the program?
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The cohort runs for 6 weeks. Classes are conducted only on weekends, making it suitable for working professionals.
5. How long is each live session?
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Each live class is 2 hours long.
6. Will the sessions be live?
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Yes. Every class is conducted live, allowing you to interact with the instructor, ask questions, and participate in discussions.
7. Will recordings be available?
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Yes. The recording of every session will be uploaded after the class.
8. How long can I access the recordings?
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You will have access to all session recordings for 365 days from the end date of the cohort.
9. Can I watch recordings if I miss a live session?
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Absolutely. If you're unable to attend a session, you can watch the recording later at your convenience.
10. What is the course fee?
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Please refer to the price on the product page. Prices may vary based on the lab content and the number of modules in the cohort.
11. Are there any discounts available?
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If any promotional offers are available, they will be communicated through the official registration page.
12. What is the cancellation policy?
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You may cancel your registration. Please check the cancellation date on the batch of his cohort. Cancellation requests made after the mentioned period will not be eligible for a refund.
13. How do I request a cancellation?
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You can cancel your registration using the cancellation feature available in the Practyc dashboard. The request must be submitted before the cohort cancellation date mentioned on the batch registration page. All cancellation policies are applicable as per the Practyc Terms & Conditions.
Will I receive a certificate?
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Yes. Participants who successfully complete the cohort will receive a Certificate of Completion.
15. Is there a capstone project?
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Yes. The cohort includes a comprehensive industry-oriented capstone project that helps you apply the concepts learned throughout the program.
16. Will the capstone project be reviewed?
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Yes. The project is designed to simulate real-world ETL development scenarios and includes mentor guidance and review.
17. Is there a mock interview session?
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Yes. The cohort includes a mock interview session to help you prepare for Data Engineering and ETL interviews. Please note that this is a group session where all participants will learn how to answer questions during a real interview.
18. What technologies will be covered?
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The framework is platform agnostic. Instead of focusing on one specific tool, you'll learn principles that can be implemented using modern ETL and Data Engineering platforms.
19. Will this help in job interviews?
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Yes. The curriculum is designed around production-grade ETL development practices commonly discussed in Data Engineering interviews. The capstone project and mock interview further strengthen your interview preparation.
20. Do I need any specific software?
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Any required software or setup instructions will be shared before the cohort begins. Most demonstrations use commonly available tools and examples.
21. How will the classes be conducted?
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Classes are conducted online through a live virtual classroom. Joining instructions are shared in each session added in this cohort.
22. Can I ask questions during the session?
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Yes. The sessions are interactive, and participants are encouraged to ask questions throughout the class.
23. Will course materials be provided?
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Yes. Supporting learning materials, code samples, diagrams, and relevant resources will be shared wherever applicable.
24. Is lifetime access included?
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No. Recordings are available for 365 days from the end date of the cohort.
25. Will I receive source code and examples?
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Yes. Relevant examples, templates, and learning resources used during the sessions will be shared whenever applicable. The solutions for the lab content will not be shared, and each participant should build their own solutions.
26. Can I join from outside India?
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Yes. Anyone can join as long as they can attend the live sessions according to the scheduled timings.
27. Will attendance be mandatory?
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Live attendance is highly recommended to maximize learning, but recordings are available if you miss a class.
28. Is this a coding course?
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The cohort combines both design concepts and implementation. Participants will learn ETL architecture, development practices, design patterns, and practical implementation through examples and exercises.
29. What makes this cohort different?
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Unlike tool-specific training, this cohort focuses on production-ready ETL engineering principles that remain valuable regardless of the technology stack used in your organization. You'll learn how experienced data engineers design, build, validate, monitor, and optimize ETL pipelines in real-world enterprise environments.
30. Who should not join this cohort?
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This program may not be suitable if you are looking only for: A tutorial on a single ETL tool. A self-paced recorded course. A certification-only program without practical implementation.
31. Will there be hands-on exercises?
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Yes. The cohort includes practical examples, exercises, and a capstone project to reinforce the concepts taught during the live sessions.
32. Will I get support after the class?
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Questions can be asked during the live sessions. Any additional support mechanisms (such as a discussion group or office hours) will be communicated to enrolled participants before the cohort begins.
33. What happens after I register?
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After successful registration, you'll receive: Enrollment confirmation Cohort schedule Joining instructions Pre-course setup guidance (if required) Communication regarding upcoming sessions
34. Can my employer sponsor this training?
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Yes. Many organizations sponsor professional development programs. You can share the course details and invoice (if required) with your employer for approval.
35. What skills will I gain after completing this cohort?
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By the end of the program, you'll be able to: Design scalable ETL and ELT architectures Build production-ready ETL pipelines Implement incremental loading and CDC strategies Apply metadata-driven ETL frameworks Design robust error handling and logging mechanisms Build reusable ETL components Develop enterprise-grade data validation frameworks Create end-to-end ETL solutions through a real-world capstone project Prepare confidently for ETL and Data Engineering interviews
Pricing
$79.00 $150.00 47% OFF
$372.00 $91.00 75% OFF
Free Demo Session
ETL Cohort Free Demo Class - 18 July
Jul 18, 2026 · 10:00 AM – 12:00 PM · teams
ETL Cohort Free Demo Class - 18 July
ETL Cohort Free Demo Class - 19 July
Jul 19, 2026 · 10:00 AM – 12:00 PM · teams
ETL Cohort Free Demo Class - 19 July
Download Brochure
Live ETL Designing & Development Framework
Instructor Details
Rahul Neekhra
Country: India
Industry: Data Science & Analytics
Experience: 18 years
About: I’m a Data & AI Solutions Architect with 17+ years of experience building scalable data platforms, analytics systems, and business intelligence solutions. My work focuses …
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