GLUE · REDSHIFT · KINESIS · EMR
AWS Data Engineer Course in Hyderabad
Learn to build data pipelines, data lakes and warehouses on AWS with Glue, Redshift, Kinesis, EMR, Lambda and S3, plus Python, SQL and PySpark, in a 2–3 month program with real-time projects and placement assistance. Classroom and online batches, flexible EMI and a free demo.
★ 4+ Google rating from 100+ reviews · 9,000+ students trained · 523+ batches completed · Teaching since 2021
Trainer: Mr. Dinesh, AWS Data Engineer Specialist & Cloud Architect (12+ years) · Updated September 2026
TrainerMr. Dinesh · 12+ years
Duration2–3 months
FeesFrom ₹9,999 · EMI
ModesClassroom + online
AWS Data Engineer Certification Training in Hyderabad
Brolly Academy's AWS Data Engineer Course in Hyderabad is a 2–3 month, hands-on program in AWS Glue, Amazon Redshift, Kinesis, EMR, Lambda, S3, Athena, Step Functions and Lake Formation, with Python, SQL and PySpark, taught by Mr. Dinesh (12+ years in cloud, big data and data engineering). Plans start at ₹9,999, classes run in the classroom or live online, and every student gets a course completion certificate and placement assistance.
The course is built for freshers, IT professionals, data analysts and data scientists who want cloud data engineering roles. You build ETL pipelines, data lakes, warehouses and streaming applications on real AWS services, finish with an end-to-end capstone for your GitHub portfolio, and get resume, LinkedIn and mock interview support for data engineer jobs in Hitech City, Gachibowli, Madhapur and Kukatpally.
Why choose Brolly Academy for AWS data engineer training?
Training and support✓ Job-focused AWS data engineering curriculum
✓ Trainer with 12+ years in cloud and data
✓ Hands-on projects on Glue, Redshift, Kinesis, S3 and EMR
✓ Capstone projects on end-to-end pipelines and ETL
✓ One-to-one placement mentorship and career guidance
✓ Resume building and LinkedIn optimisation
✓ Mock interview sessions
✓ Placement assistance after the course
Flexibility and value✓ Classroom and live online batches
✓ Weekday and weekend batch options
✓ Free 3-day demo classes before you enrol
✓ Affordable fees with flexible EMI
✓ Syllabus updated for 2026
✓ Learning community on WhatsApp and Discord
✓ Brolly Academy course completion certificate
✓ 4+ Google rating from 100+ reviews
AWS Data Engineer Course Syllabus (20 Modules)
Our AWS data engineer course in Hyderabad follows a 20-module syllabus that takes you from AWS cloud foundations and S3 data lakes through Glue ETL, EMR, Redshift, Kinesis streaming and orchestration to security, cost optimisation, CI/CD, capstone projects and interview preparation.
Module 1: Introduction to AWS Data Engineering
Data engineering and the cloud data ecosystem, key AWS services for data engineers, data lake, data warehouse and ETL concepts, IAM, architecture setup and permissions, and configuring the AWS CLI and SDK (Boto3).
Module 2: AWS Cloud Foundations for Data Engineers
Cloud computing essentials, AWS global infrastructure, EC2, S3 and RDS basics, AWS billing, pricing and cost management, and resource monitoring with CloudWatch.
Module 3: Data Storage & Management with Amazon S3
Creating and managing buckets, lifecycle policies and versioning, static data hosting and partitioning, data lake implementation on S3, and securing buckets with IAM and KMS.
Module 4: Data Cataloguing & Crawling with AWS Glue
The Glue Data Catalog, schema discovery and crawler configuration, job development in Glue Studio, ETL scripts in PySpark, and workflow management and automation.
Module 5: ETL Pipelines with AWS Glue & Lambda
Glue ETL job design, Lambda integration with Glue, event-driven ETL automation, data transformations and validation, and cost optimisation for Glue jobs.
Module 6: Data Processing with Amazon EMR
Hadoop and Spark on EMR, cluster setup, scaling and management, processing with Spark SQL and PySpark, integrating EMR with S3 and Redshift, and EMR performance and cost optimisation.
Module 7: Data Warehousing with Amazon Redshift
Redshift architecture and cluster setup, loading and transforming data with COPY, query performance optimisation, Spectrum, workload management and distribution keys, and BI integration with Tableau and Power BI.
Module 8: Real-Time Streaming with Amazon Kinesis
Kinesis Data Streams, Firehose and Analytics, real-time ingestion, Lambda and Kinesis integration, real-time dashboards with QuickSight, and Kinesis vs Kafka.
Module 9: Orchestration with Step Functions & MWAA
Workflow orchestration, Step Functions for ETL workflows, Managed Workflows for Apache Airflow (MWAA) and triggering jobs across AWS services.
Module 10: Relational & NoSQL Databases on AWS
Amazon RDS (PostgreSQL/MySQL) setup, DynamoDB for key-value storage, connecting ETL jobs to databases, query optimisation and indexing, and data migration with AWS DMS.
Module 11: Serverless Data Engineering with Lambda
Lambda functions for data processing, event triggers and scheduling, connecting Lambda with S3, Kinesis and Glue, and best practices for serverless ETL.
Module 12: Data Integration with APIs & External Sources
Working with Boto3, integrating REST APIs with pipelines, handling JSON, CSV and Parquet, and automating data pulls from APIs.
Module 13: Data Visualisation & Analytics
Amazon QuickSight, building dashboards and reports, connecting QuickSight to Redshift and S3, and data storytelling.
Module 14: Data Lake Formation & Governance
Setting up data lakes with AWS Lake Formation, data governance and cataloguing, access control policies, and auditing and monitoring.
Module 15: Monitoring, Logging & Security
CloudWatch and CloudTrail setup, logging best practices, data encryption (KMS, SSE, CSE), network security, IAM policies and auditing.
Module 16: Optimisation & Cost Management
Cost control for data pipelines, resource utilisation metrics, AWS Budgets and Cost Explorer, and auto-scaling and Spot Instance usage.
Module 17: CI/CD for Data Pipelines
DevOps for data engineering, AWS CodePipeline and CodeBuild, deploying ETL scripts through CI/CD and managing pipeline versions.
Module 18: Python & SQL for AWS Data Engineers
Python for data manipulation with Pandas and PySpark, complex SQL queries, the AWS SDK for Python (Boto3) and data validation scripts.
Module 19: Capstone & Real-Time Projects
An end-to-end pipeline (S3 → Glue → Redshift), a streaming project (Kinesis → Lambda → Redshift), a data lake implementation, and a resume and GitHub portfolio review.
Module 20: Interview Preparation & Certification Guidance
Resume building and LinkedIn branding, interview Q&A and mock sessions, and guidance for AWS data certification exams such as AWS Certified Data Engineer – Associate.
Get the full AWS data engineer syllabus and fee details on WhatsApp
Send us a message and we will share the complete module list, fee plans, EMI options and the next batch dates. New batches start every week, and a free demo class is available.
AWS Data Engineer Certification Training Roadmap – Beginner to Advanced in 2–3 Months
Our AWS Data Engineer course is split into 4 practical stages over 2–3 months, in the classroom or live online, taking you from beginner to job-ready with hands-on AWS work at every step.
Month 1Cloud foundations & data engineering essentialsAWS architecture, IAM roles, EC2, S3 data lakes and CLI setup, with ingestion of structured and unstructured data.
Month 2ETL, processing & warehousingEnd-to-end pipelines with PySpark in Glue, EMR and Redshift, cataloguing, Lambda automation, Step Functions and QuickSight.
Month 3Real-time streaming & automationStreaming pipelines with Kinesis and Lambda triggers, Kinesis Data Analytics and BI dashboard integration.
Final weeksCapstone & placement prepAn S3 → Glue → Redshift → QuickSight capstone for GitHub, resume and LinkedIn work, mock interviews and certification-aligned mock tests.
What is AWS Data Engineering and Why Is It Important?
AWS data engineering is the design and management of large-scale data systems on Amazon Web Services. Data engineers build ETL pipelines that move and transform data, store it in S3 data lakes and Redshift warehouses, process big data on EMR and stream live data through Kinesis, so analysts, data scientists and BI teams get clean, secure, ready-to-use data.
Builds data pipelinesETL workflows with AWS Glue, Lambda and Step Functions.
Manages data lakesOrganises large datasets in Amazon S3 and Lake Formation.
Powers data warehousesAnalytical models in Amazon Redshift for business insights.
Processes big dataHigh-volume data on EMR with PySpark and Spark.
Real-time analyticsStreams live data through Kinesis for instant dashboards.
Secures dataIAM roles, KMS encryption and governance policies.
Supports data science and BIClean, optimised data for ML, AI and QuickSight reports.
Used across industriesE-commerce, IT, banking, healthcare, education, media and startups.
Part of cloud computingA core skill as companies move data to the cloud.
Benefits of the AWS Data Engineer Course in Hyderabad
Choose classroom or live online training at Brolly Academy and get the same experienced trainers, real-time AWS projects and placement support in either mode.
01Learn from experienced trainersGuidance from data engineers with 10+ years in cloud and big data.
02Master core AWS toolsHands-on with Glue, Redshift, EMR, Kinesis, Lambda, Lake Formation and S3.
03Work on real-time projectsETL pipelines, data lakes and real-time streaming, end to end.
04Get placement assistanceResume building, mock interviews, LinkedIn optimisation and referrals.
05Prepare for AWS examsGuidance for AWS data certification exams, issued by AWS.
06Strong programming basePython, SQL and PySpark for everyday data engineering.
07Data lakes & warehousingS3 data lakes, Redshift, data modelling and schema optimisation.
08Security & governanceIAM policies, encryption and governance for compliant data.
09Learn your wayClassroom or online, weekend and fast-track options, with flexible EMI.
Thinking of an AWS Data Engineer Course in Hyderabad?
Here is how hands-on training at Brolly Academy compares with a traditional class.
Traditional training✗ You sit and listen, with limited interaction
✗ Outdated slides and theory-heavy notes
✗ Trainers with only general knowledge
✗ Occasional lab work, no real-world use
✗ Small exercises with little career impact
✗ Support ends after the course
✗ No career guidance or mentorship
✗ No placement assistance
Brolly Academy training✓ Hands-on work with Glue, Redshift, Kinesis and Lambda
✓ Daily practice on real AWS datasets
✓ Trainers with 10+ years in AWS data engineering
✓ Projects on ETL, data lakes and streaming
✓ Pipelines, big data and analytics workflows
✓ Ongoing job support after the course
✓ Mentorship based on your career goals
✓ Resume building and interview preparation
Meet Your AWS Data Engineer Trainer
INSTRUCTOR
Mr. Dinesh
AWS Data Engineer Specialist & Cloud Architect · 12+ years in cloud, big data and ETL
Mr. Dinesh is an AWS data engineer specialist and cloud architect with 12+ years of experience in data engineering, cloud computing, big data, ETL pipelines, Redshift, Kinesis and S3. His expertise covers data lakes, data warehousing, AWS Glue, scalable cloud architecture, and distributed processing with EMR, PySpark and Lambda. His project work includes Kinesis-powered streaming pipelines, automated Glue and Lambda ETL workflows and Redshift optimisation. He turns complex concepts into practical, job-oriented lessons with hands-on coding and real projects.
Skills You’ll Gain from the AWS Data Engineer Course
Data pipelinesBuild scalable ETL pipelines with AWS Glue, Kinesis and Lambda.
Cloud data storageOrganise and manage large datasets in S3 and Lake Formation.
Data warehousingBuild high-performance warehouses in Amazon Redshift.
Real-time processingProcess and analyse live data streams with Kinesis.
PySpark on EMRTransform large datasets quickly and cost-effectively with Spark.
Workflow automationOrchestrate ETL with Step Functions, error handling and monitoring.
Security & complianceIAM roles, KMS encryption and security best practices.
BI integrationConnect Redshift to QuickSight, Tableau and Power BI.
SQL & PythonManipulate, analyse and automate data work within AWS.
AWS Data Engineer Capstone Projects
You build hands-on projects that replicate real data engineering challenges on AWS, giving you job-ready skills in pipelines, ETL automation and big data, whether you learn online or in the classroom.
Project 1Pipeline automation with Glue & RedshiftBatch and real-time ETL pipelines with Glue, Lambda and Redshift.
Project 2Real-time streaming with KinesisIngest and analyse live data with Kinesis and Lambda, with instant dashboards.
Project 3Data lake with S3 & Lake FormationAn end-to-end, secure data lake for multiple applications and analytics tools.
Project 4ETL workflows with Step FunctionsOrchestrate Glue jobs and data movement across AWS services.
Project 5Governance & security with IAM and KMSApply IAM roles and KMS encryption across the pipeline.
Project 6Warehousing with Redshift & QuickSightOptimise a Redshift warehouse and report on it in QuickSight.
Tools you use: AWS Glue · Amazon Redshift · Amazon Kinesis · AWS Lambda · Amazon S3 · Amazon QuickSight · Amazon EMR · AWS Lake Formation · Amazon Athena · AWS Step Functions · Amazon RDS · AWS KMS · Python · PySpark · SQL
AWS Data Engineer Course Fee & Offerings in Hyderabad
Choose the plan that suits how you learn. Every plan covers basic to advanced AWS data engineering with project work, and flexible EMI options are available.
Video Recording₹9,999Was ₹15,000
Lifetime video access
Basic to advanced modules (Glue, Redshift, Kinesis, EMR)
80+ recorded classes
Capstone project
Resume and interview support
Placement assistance
WhatsApp group access
Most popularClassroom Training₹29,999Was ₹35,000
2–3 months of structured training
AWS trainers with 10+ years of industry experience
Real-time projects on Glue, Redshift and Kinesis
One-on-one mentorship and lab support
Monthly mock interviews
Resume and interview guidance
Soft skills training
Dedicated placement officer
Commute support (offline batches)
WhatsApp support and group access
Online Course₹24,999Was ₹30,000
Live interactive sessions, flexible timings
2–3 months of live AWS data engineering training
Real-time project environment from day 1
Weekly mock interviews with career guidance
Doubt-clearing sessions
50+ resume samples
WhatsApp group for support and updates
Flexible EMI options are available. Ask about the current batch offer when you book your free demo class.
Placement Program for AWS Data Engineer Training in Hyderabad
Our placement support helps you build job-ready AWS data engineering skills and get interviews with data-driven companies in Hyderabad and across India.
Resume buildingATS-friendly resumes tailored for cloud data roles.
Placement trainingHow to apply, target openings and crack data engineer hiring processes.
Interview questionsReal-time AWS data engineer interview questions to practise.
Internships under expertsInternship opportunities that add real projects to your profile.
Real-time live projectsShowcase ETL pipelines, data lakes and streaming work.
Aptitude preparationLogical reasoning, problem-solving and technical test practice.
Personality developmentCommunication, presentation and confidence for client work.
Mock interviewsTechnical and HR mock rounds for AWS data engineer roles.
Interview schedulingWe connect you with hiring companies and schedule interviews.
What Our Students Say About AWS Data Engineer Training in Hyderabad
"The AWS Data Engineer classroom training at Brolly Academy in Hyderabad was a big step for me. I gained hands-on experience with AWS Glue, Redshift and Kinesis. The trainers made complex concepts easy to grasp, and I’m now confident applying ETL pipelines, data lakes and real-time data streaming in real-world projects."Ravi Kumar
"I had an amazing experience with the AWS Data Engineer course in Hyderabad at Brolly Academy. The real-time projects and hands-on training with AWS S3, Redshift and AWS Lambda helped me understand how to design scalable cloud data pipelines. The instructors were very knowledgeable and always available to support us."Sneha Verma
"Attending the AWS Data Engineer course at Brolly Academy was a valuable decision. The lessons on data lakes and data warehousing with Amazon Redshift were particularly helpful. I now feel well prepared to work on cloud-based data architectures and ETL automation using AWS services in my new role."Ankit Gupta
"The AWS Data Engineer course at Brolly Academy gave me in-depth knowledge of AWS data services like Glue, Redshift, S3 and Kinesis. The practical experience helped me build robust data pipelines and implement real-time analytics that I now use in my current job."Priya Patel
"The AWS Data Engineer training at Brolly Academy was comprehensive and rewarding. It gave me hands-on experience with AWS Glue, Lambda and Kinesis, helping me build fully functional ETL workflows and streaming data applications. I’m now more confident and ready to work in the AWS cloud ecosystem."Sandeep Reddy
"Joining the AWS Data Engineer online training at Brolly Academy was a good decision. I gained valuable skills in data transformation with AWS Glue, real-time data processing with Kinesis and data warehousing in Redshift. The instructors’ hands-on approach gave me the skills to work as an AWS Data Engineer."Manisha Sharma
Student community
Learning & collaborationWork with peers on AWS projects, share coding tips and solve ETL challenges.
Resources and toolsDatasets, recorded sessions, project templates and S3 tutorials.
NetworkingConnect with AWS trainers, industry mentors and recruiters in Hyderabad.
MentorshipCareer advice and project insight from AWS cloud data engineers.
Career developmentJob postings, internship leads, freelance projects and placement assistance.
Pre-requisites & Eligibility
The course takes you from beginner to advanced, so freshers with a basic understanding of programming and databases are welcome. Some Python and SQL helps with ETL work, but the basics are covered in the course. Familiarity with cloud concepts and databases is useful but not mandatory, and a hands-on approach matters most.
Cloud basics helpFamiliarity with cloud concepts is useful but not mandatory.
Python and SQLBasic scripting and querying help; the basics are covered in the course.
Data conceptsSome idea of data structures and processing is beneficial, not required.
Database familiarityMySQL, SQL Server or MongoDB basics help with Redshift and RDS.
Freshers welcomeGraduates with basic programming and database knowledge can join.
Hands-on attitudeA willingness to practise on Glue, Kinesis and EMR projects.
Who Should Join the AWS Data Engineer Course in Hyderabad?
Aspiring data engineersStart a career designing and managing pipelines on AWS.
IT professionalsMove from development, operations or networking into cloud data roles.
Cloud enthusiastsGet hands-on with data lakes, warehouses and streaming on AWS.
Data scientistsLearn to prepare data and automate workflows for ML.
Data analystsMove up into pipelines, ETL and cloud data engineering.
FreshersCS, IT and related graduates who want real data engineering skills.
AWS Data Engineer Career Opportunities in Hyderabad
AWS data engineerDesign, build and manage pipelines with Glue, Redshift and Kinesis.
Cloud data architectDesign scalable data architectures on AWS.
Data scientist / ML engineerPrepare data on AWS for machine learning and prediction.
Big data engineerProcess large datasets with EMR and Redshift.
ETL developerBuild automated ETL workflows with Glue, Lambda and Step Functions.
BI developerCreate reports and dashboards with Redshift and QuickSight.
Cloud solutions architectArchitect secure, scalable cloud data systems on AWS.
Data analystAnalyse data from pipelines built on S3 and Glue.
AWS cloud consultantAdvise businesses on AWS migration and data best practices.
AWS data engineer salary in Hyderabad – 2026
AWS data engineer₹5–12 LPAFreshers (0–2 years) ₹5–8 LPA · 2–5 years ₹8–12 LPA
Mid-level AWS data engineer₹12–15 LPA5–8 years · real-time analytics, big data and cloud data solutions
Senior AWS data engineer₹15–22 LPA8+ years · data teams and large-scale warehouse projects
Lead / data engineering manager₹22 LPA+Data infrastructure, AWS migrations and team leadership
Hiring companiesWhere students applyGoogle · Microsoft · Accenture · Capgemini · Tech Mahindra · Wipro · Cognizant · TCS · HCLTech · Infosys · Deloitte · IBM
AWS Data Engineer Certification You Will Receive
After completing the course you receive a Brolly Academy AWS Data Engineer course completion certificate that highlights your skills in AWS Glue, Redshift, Kinesis, EMR, S3, Python and SQL. Together with your capstone projects and GitHub portfolio, it strengthens your resume for cloud data engineering roles.
AWS certification exams: the course prepares you for AWS data certification exams such as AWS Certified Data Engineer – Associate, and its cloud architecture topics give you a foundation for AWS Certified Solutions Architect – Associate. These certifications are issued and examined by AWS, and exam fees are separate.
Market trends for AWS data engineering in Hyderabad
Shift to the cloudAs businesses move to cloud platforms, demand for AWS data engineers grows.
Real-time dataKinesis and Lambda pipelines for live data are increasingly common.
Machine learning and AIData engineers prepare the data that ML and AI models depend on.
Big data and IoTGrowing data volumes need efficient data lakes and processing on EMR and Redshift.
Hyderabad’s tech growthThe city’s expanding tech sector drives demand for cloud data skills.
Competitive salariesGood pay and growth in IT, finance and e-commerce.
AWS Data Engineer Course in Kukatpally, Hyderabad
Our centre is at Metro Pillar No. A689, Dr Atmaram Estates, 3rd Floor, Nizampet X Roads, near JNTU Metro Station, Hyderabad 500072. Students join from Kukatpally, KPHB Colony, JNTU, Nizampet, Miyapur, Hitech City, Madhapur and Ameerpet (a short metro ride). Can’t make it to class? Join the same course live online.
Other relevant courses
Python Full StackPython, web frameworks and databases for full stack roles.
SnowflakeCloud data warehousing with Snowflake.
Power BIReports and dashboards on your warehouse data.
Informatica CloudCloud data integration with Informatica IICS.
Data Build ToolSQL-based data transformation with dbt.
Apache SparkDistributed big data processing with Spark.
AWS Data Engineer Course in Hyderabad – FAQs
1. What is the fee for the AWS Data Engineer course in Hyderabad?
Brolly Academy offers three plans: Video Recording at ₹9,999 (was ₹15,000), Online Course at ₹24,999 (was ₹30,000) and Classroom Training at ₹29,999 (was ₹35,000). Every plan includes project work and interview support, and flexible EMI options are available. AWS certification exam fees are separate and paid directly to AWS.
2. How long does the AWS Data Engineer training take in Hyderabad?
The AWS Data Engineer course takes 2–3 months, depending on whether you join a weekday or weekend batch, and fast-track options are available. You move from cloud foundations and S3 to Glue ETL, EMR, Redshift and Kinesis streaming, then finish with capstone projects, interview preparation and placement support.
3. Which institute offers the best AWS Data Engineer course in Hyderabad?
Brolly Academy is a strong choice for AWS data engineering in Hyderabad. You learn from Mr. Dinesh, who has 12+ years in cloud, big data and ETL, follow a 20-module syllabus with real AWS projects, and get resume, LinkedIn, mock interview and placement support, in the classroom near JNTU or live online.
4. What are the key modules in the AWS Data Engineer course?
The syllabus covers AWS cloud foundations, IAM and Boto3, S3 data lakes, Glue cataloguing and ETL with PySpark, EMR, Redshift, Kinesis streaming, Step Functions and MWAA, RDS and DynamoDB, serverless Lambda, API integration, QuickSight, Lake Formation, security, cost optimisation, CI/CD, Python and SQL, capstone projects and interview preparation.
5. Do I need programming experience before joining the AWS Data Engineer course?
Some familiarity with Python and SQL helps, but it is not mandatory. The course covers Python and SQL for data engineers, and trainers guide beginners step by step. A basic understanding of cloud concepts and databases is useful, and a willingness to practise hands-on with AWS services matters most for success.
6. Can freshers join the AWS Data Engineer course in Hyderabad?
Yes. Freshers with a basic understanding of programming and databases are welcome, especially graduates in computer science, IT or related fields. The course takes you from beginner to advanced with real AWS projects, and IT professionals, data analysts and data scientists also join to move into cloud data engineering roles.
7. What is the salary of an AWS Data Engineer in Hyderabad?
Freshers in Hyderabad typically earn around ₹5–8 LPA, rising to ₹8–12 LPA with 2–5 years and ₹12–15 LPA with 5–8 years of experience. Senior engineers earn about ₹15–22 LPA, and lead or manager roles pay ₹22 LPA and above. Actual pay depends on skills, projects and employer.
8. Will I get placement support after the AWS Data Engineer course?
Yes. Placement assistance includes ATS-friendly resumes, placement training, AWS data engineer interview questions, internships under experts, real-time projects, aptitude preparation, personality development, mock interviews and interview scheduling with hiring companies. Classroom students also get a dedicated placement officer, monthly mock interviews and soft skills training.
9. Will I get an AWS certification from this course?
You receive a Brolly Academy AWS Data Engineer course completion certificate. The course also prepares you for AWS data certification exams such as AWS Certified Data Engineer – Associate. AWS certifications are issued and examined by AWS, not by Brolly Academy, and the exam fee is paid separately when you book the exam.
10. Does the AWS Data Engineer course include online and classroom options?
Yes. You can join classroom training at our centre near JNTU Metro Station or live interactive online sessions with flexible timings, and a self-paced Video Recording plan with 80+ recorded classes is also available. Weekday and weekend batches run, so working professionals can learn on Saturdays and Sundays alongside their jobs.
11. Does the course cover AWS Glue, Kinesis, Redshift and EMR?
Yes. You get hands-on experience with AWS Glue, Kinesis, Redshift and EMR, along with S3, Lambda, Athena, Step Functions, Lake Formation, QuickSight, RDS, DynamoDB and KMS. You also use Python, PySpark and SQL to build, automate and optimise real data pipelines, data lakes and streaming applications.
12. What is the difference between an AWS Data Engineer and an Azure Data Engineer?
Both roles build and manage data pipelines, but on different clouds. AWS data engineers use services such as Glue, Redshift, Kinesis and S3, while Azure data engineers use Microsoft Azure tools. The core skills of ETL, data modelling, Python, SQL and Spark carry over, so learning AWS first gives a solid base.
13. What real-time projects will I do in the AWS Data Engineer course?
You build pipeline automation with Glue, Lambda and Redshift, real-time streaming with Kinesis and Lambda, a data lake with S3 and Lake Formation, ETL workflows with Step Functions, governance with IAM and KMS, and a Redshift warehouse with QuickSight reporting, plus an end-to-end capstone for your GitHub portfolio.
14. Can I switch from analytics to AWS data engineering?
Yes. Professionals from analytics backgrounds can move into AWS data engineering by mastering S3, Redshift, Glue and related services. The course shows you how to build pipelines and manage cloud data systems, and roles can grow into cloud data architect, big data engineer or ML-focused positions as your experience increases.
15. Is there an AWS Data Engineer course near me in Kukatpally or JNTU?
Yes. Brolly Academy is at Metro Pillar No. A689, Dr Atmaram Estates, 3rd Floor, Nizampet X Roads, near JNTU Metro Station, Hyderabad 500072. Students join from Kukatpally, KPHB Colony, Nizampet, Miyapur, Hitech City, Madhapur and Ameerpet. If travel is difficult, you can join the same course live online.
Got more questions? Talk to our team directly
Contact us and our academic counsellor will get in touch with you shortly. A free demo class is available before you enrol.