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Data Engineering with AWS
Master the art of building and managing data pipelines on AWS with hands-on experience in data processing, ETL, and analytics services.
- Design and implement data processing solutions using AWS Glue, EMR, and Lambda
- Build scalable data lakes with Amazon S3 and Lake Formation
- Implement real-time data streaming with Amazon Kinesis and MSK
- Optimize data warehousing with Amazon Redshift and Redshift Spectrum
- Orchestrate data pipelines with AWS Step Functions and MWAA
- Ensure data security and compliance with IAM, KMS, and encryption
- Monitor and troubleshoot data pipelines using CloudWatch and X-Ray
What's Included
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Hands-on AWS Data Engineering
Work with real-world datasets and AWS data services
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35+ Live Interactive Sessions
4 months of expert-led live training
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AWS Certified Instructors
Learn from certified professionals
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3+ Real-world Projects
Build end-to-end data pipelines
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60+ Hands-on Labs
Practice with AWS Glue, EMR, Redshift
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Career Support
Resume and interview preparation
Learn from Industry Experts
Satyam Pandey
Lead Data Engineer
9+ years in Data & Cloud
Expertise:
- AWS Certified Data Analytics - Specialty
- AWS Certified Solutions Architect
- Big Data Specialist
- Data Pipeline Architect
Satyam has extensive experience in building scalable data platforms on AWS and has helped numerous organizations implement data-driven solutions using modern data architectures.
Data Engineering with AWS
Master Data Engineering on AWS with CoreConcepts hands-on training in data pipelines, ETL, data lakes, and big data processing.