AWS Data Engineering(Python) Batch-2 session-1 Mrng | By Anuj 11+ years Exp | Raj Cloud Technologies

Описание: ✅ ✅ ✔ Mode of Training : Online
✔☎️ Contact: 8105296858/ 9113861544/6361638108
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✔ Website : rajinformatica.com

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Course Description :
This hands-on training is designed to equip aspiring Data Engineers with practical expertise in building scalable and efficient data pipelines using AWS services. Covering key AWS components such as S3, EC2, Lambda, IAM, Glue, Redshift, and more, this job-oriented program focuses on real-time, end-to-end project implementation.
You will gain proficiency in designing cloud-native data architectures, orchestrating workflows with Step Functions, processing big data with EMR, and implementing real-time streaming with Kinesis. Upon completion, you'll be interview-ready with strong experience in building AWS-based Data Engineering solutions from scratch.


🧠 Course Unique Features
✅ 70+ Hours of Interactive Instructor-Led Live Sessions
✅ Daily 90-Minutes Sessions With Realtime Cloud Practice
✅ Separate Live Doubt Clearing & Project Mentoring Sessions
✅ Implementation of 3 Real-Time AWS Data Engineering Projects
✅ Covers PySpark, AWS Glue, Athena, Redshift, Lambda, and CloudFormation
✅ End-to-End Capstone Project with Batch + Real-Time Pipeline
✅ Interview Preparation With Hands-on Assignments & MCQs
✅ Live Sessions + Lifetime Access to Recordings
✅ Resume Building & Interview Prep. Support

📌 Limited Seats Available – Enroll Now!
📞 Contact us: 81052 96858
🌐 Visit: www.rajinformatica.com

Technologies Taught
✅ Python Programming
✅ Jupyter Notebook
✅ PySpark
✅ AWS Glue
✅ AWS Athena
✅ Amazon Redshift
✅ AWS S3 & Lambda
✅ AWS CloudFormation

🎯 Career Roles You Can Apply For

✅aws, AWS Data Engineer
✅Cloud Data Engineer
✅Big Data Engineer
✅ETL Developer / Engineer
✅Spark Developer / PySpark Engineer
✅Data Platform / Warehouse Engineer
✅Data Pipeline Engineer

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