Data Engineering
Advanced
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Data Engineer - 60 Days Intensive
Comprehensive 60-day program to become a skilled Data Engineer. Master data pipelines, ETL processes, big data technologies, and cloud data platforms to build scalable data solutions.
Fast Forward 15 Days
1271+ students
4.9 rating
What You'll Learn
Build scalable data pipelines
Work with big data technologies
Design data warehouses
Implement ETL processes
Process real-time data streams
Deploy solutions on cloud platforms
Optimize data system performance
Ready for Data Engineer roles
Course Curriculum
Comprehensive step-by-step learning path designed for quick mastery
Module 1: Data Engineering Foundations
- Data Architecture Concepts
- SQL Advanced Techniques
- Database Design
- Data Modeling
Module 2: ETL and Data Pipelines
- ETL Process Design
- Apache Airflow
- Data Integration
- Workflow Orchestration
Module 3: Big Data Technologies
- Hadoop Ecosystem
- Apache Spark
- MapReduce
- HDFS
Module 4: Cloud Data Platforms
- AWS Data Services (S3, Redshift, Glue)
- Azure Data Factory
- Google BigQuery
- Snowflake
Module 5: Real-time Data Processing
- Apache Kafka
- Stream Processing
- Real-time Analytics
- Event-driven Architecture
Module 6: Data Warehousing
- Data Warehouse Design
- Dimensional Modeling
- Data Marts
- OLAP vs OLTP
Module 7: Python for Data Engineering
- Pandas for Data Manipulation
- PySpark
- Data APIs
- Automation Scripts
Module 8: Capstone Project
- End-to-end Data Pipeline
- Production Deployment
- Performance Optimization
- Portfolio Project
Course Features
60 days of intensive training
Real-world industry projects
Hands-on with big data tools
Cloud platform experience
Career placement support
Interview preparation included
Resume optimization included
LinkedIn profile grooming