AWS Data Architect
Master enterprise-scale data architecture on Amazon Web Services (AWS) by learning to design, build, secure, and optimize modern data platforms. This advanced course covers data lakes, data warehouses, ETL pipelines, real-time analytics, cloud security, and performance optimization using industry-standard AWS services through hands-on projects and real-world use cases.
Course Description
The AWS Data Architect course at Dhruv Technologies is an advanced-level program designed for data professionals, cloud engineers, solution architects, and IT professionals who want to build scalable, secure, and high-performance data solutions on AWS.
This course provides in-depth knowledge of designing cloud-native data architectures using AWS services for data ingestion, storage, processing, transformation, governance, analytics, and visualization. Learners will gain practical experience in building enterprise-grade data lakes, cloud data warehouses, ETL/ELT pipelines, streaming architectures, and secure data platforms.
Through real-world case studies, hands-on labs, and industry-focused projects, participants will learn AWS architecture best practices, cost optimization strategies, monitoring, security implementation, disaster recovery planning, and performance tuning. By the end of the course, learners will be capable of designing and managing enterprise-scale data architectures that support modern analytics and business intelligence solutions.
Trainer
N
Neha Patel
Full Stack Instructor
8 years experience
Neha specializes in MERN stack training with a focus on job-ready portfolio projects.
Technologies Covered
Amazon S3
Amazon Redshift
AWS Glue
AWS Lambda
Amazon Athena
Amazon EMR
Amazon RDS
Amazon DynamoDB
Amazon Kinesis
Amazon EC2
Amazon VPC
IAM (Identity & Access Management)
AWS CloudFormation
Amazon CloudWatch
AWS Lake Formation
AWS Step Functions
Amazon QuickSight
Apache Spark on AWS
Projects
- Enterprise Data Lake on AWS
- Cloud Data Warehouse Implementation
- Real-Time Data Streaming Pipeline
- End-to-End ETL Pipeline Development
- AWS Data Lake Architecture
- Data Migration to AWS Cloud
- Cloud Data Security & Governance Implementation
- Amazon Redshift Analytics Solution
- Serverless Data Processing Pipeline
- Enterprise Business Intelligence Dashboard Integration
FAQ
Cloud Engineers, Data Engineers, Data Architects, Solution Architects, BI Professionals, and experienced IT professionals.
Basic knowledge of SQL, databases, cloud computing, and ETL concepts is recommended.
Yes. Every major module includes practical labs and real-world enterprise projects.