Data Engineering
₹120,000
Total Fee₹10,000/month
EMI Starting
Why Choose This Program?
Real Pipeline Development: Design batch and streaming data pipelines using industry-grade tools and cloud platforms.
Cloud-Native Training: Learn how top companies manage data using AWS, GCP, Azure, and serverless tools.
Expert Mentorship: Get weekly reviews, 1:1 sessions, and feedback on real-world projects from experienced data engineers.
Placement Support: Resume guidance, mock interviews, and hiring connections customised to data engineering roles.
💰 Program Fee: ₹1,20,000 | EMI starts at ₹10,000/month
What Makes Us Unique?
| Features | Our Program | Traditional Courses | Free Tutorials |
| Real Pipeline Projects | ✅ Yes | ❌ Rare | ❌ No |
| Cloud-Based Training | ✅ Yes | ❌ Minimal | ❌ No |
| Placement Support | ✅ Yes | ✅ Yes | ❌ No |
| Payment Flexibility | ✅ Yes | ❌ Rare | ✅ Yes (Limited) |
How This Program Works
1. Real-World Module Development
- Data ingestion with APIs, files, and databases
- Batch processing with Spark and Pandas
- Stream processing with Kafka and Flink
- Cloud-based pipeline orchestration
2. Projects to Build Your Portfolio
- ETL pipeline for e-commerce analytics
- Real-time stock ticker streaming system
- Data warehouse design using BigQuery or Redshift
- Airflow pipeline to automate daily reports
3. Continuous Feedback & Improvement
- Weekly mentor-led code reviews and feedback
- Performance tuning and data modeling support
- Troubleshooting pipeline failures and bugs
- Project reviews aligned to hiring expectations
4. Placement Preparation
- Resume writing and LinkedIn profile audit
- Mock interviews with case-based data scenarios
- GitHub portfolio structuring with pipelines
- Direct referrals and hiring partner intros
Who Is This Program For?
✅ Aspiring Data Engineers – Build hands-on skills and launch your career in the booming data infrastructure space.
✅ Backend Developers – Transition into data engineering with knowledge of scalable storage and processing tools.
✅ Career Switchers – Master tools and workflows that power the data engines behind today’s digital economy.
Tools & Technologies You’ll Master
Programming & Data Access
- Python
- SQL
- APIs
- Shell Scripting
Data Processing
- Apache Spark
- Pandas
- PySpark
- Apache Kafka
Workflow Orchestration
- Apache Airflow
- Prefect
- Cron
- dbt
Cloud Platforms
- AWS
- Google Cloud Platform (GCP)
- Asure
- Snowflake / BigQuery
Program Timeline
Months 1–3: Foundations in Data & Python
Master Python, SQL, and data access patterns with APIs, files, and databases. Learn core data manipulation with Pandas.
Months 4–6: Batch & Stream Processing
Learn to work with Spark, Kafka, and PySpark. Build batch and real-time data processing pipelines for common industry use cases.
Months 7–9: Cloud & Orchestration Tools
Automate workflows with Airflow and dbt. Deploy pipelines on AWS or GCP. Learn versioning, testing, and logging of pipelines.
Months 10–12: Capstone Projects & Job Prep
Build multi-stage pipelines using cloud-native tools. Prepare for interviews with mentor help and showcase your work online.
Career Outcomes
Get ready for roles like:
Data Engineer
Big Data Developer
ETL Engineer
Cloud Data Engineer
💼 Average Salaries: ₹6–9 LPA (entry-level) | ₹12–20 LPA (with experience)
Why Data Engineering?
High Demand: Businesses need clean, fast, reliable data pipelines more than ever.
Foundation for AI/ML: ML models rely on the work of strong data engineering teams.
Career Mobility: Skillsets can lead to roles in data science, ML engineering, or architecture.
Frequently Asked Questions (FAQs)
Apply Now
Ready to build the data infrastructure of tomorrow?
Apply today and become a certified, job-ready Data Engineer in just 12 months.
👉 [Apply Now]
Contact & Pricing
💰 Total Fee: ₹1,20,000
📆 EMI: ₹10,000/month
📞 Call/WhatsApp: +91-8095858589
📧 Email: info@gullyacademy.com
Refund Policy
We offer a 100% refund if you withdraw within the first 2 weeks of the program—no questions asked.