Saurav AWS cloud, Python, Pyspark, coding best practices
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I teach Python, PySpark, and Cloud Technologies to aspiring data engineers, career switchers, and developers who want real-world skills - not just theory. My focus is on practical, industry-relevant knowledge that you can apply immediately, whether you're starting from zero or upskilling for your next role.

My teaching philosophy is simple: you'll write real code from lesson one, understand WHY things work (not just HOW), and build projects you can showcase in interviews. Every lesson is personalized to your specific goals - preparing for interviews? We'll practice real questions. Learning for a work project? We'll solve that exact problem.

Patient, practical, and personalized - that's my promise. I meet you where you are and guide you to where you want to be, with zero judgment and maximum results. Let's turn your tech goals into reality! 💻

Subjects

AWS (Amazon Web Services) Beginner-Expert
PySpark Beginner-Expert
Data engineer Beginner-Expert
Python 3 Beginner-Expert
Data architecture Beginner-Expert

Experience

Data Architect (Jun, 2006–Present) at 20+ years of experience in IT sector.

Working as a full time, project lead. Experience in developing apps, do automation in python. Do data engineering and architecture. Coach professional.

Education

Computer Sc & Engg (Aug, 2002–May, 2006) from MAKAUT, KOLKATA

Fee details

₹1,500–4,000/hour (US$15.79–42.10/hour)

My objective is to teach students and not earn money. The amount I am charging is very nominal and based on 2-3 classes per week.

Courses offered

Python
- US$25
- Duration: 2 Months
- Delivery mode: Online
- Group size: Individual
- Instruction language: English, Hindi, Bengali
- Certificate provided: No
Learn Python from scratch or level up your skills with personalized, hands-on lessons. Whether you're a complete beginner, career switcher, or developer looking to strengthen your Python foundation - this course is tailored to YOUR goals.

What you'll learn:
- Python fundamentals (variables, data types, control flow)
- Data structures (lists, dictionaries, sets, tuples)
- Functions and Object-Oriented Programming (OOP)
- Working with files, APIs, and libraries
- Real-world projects and problem-solving
- Best practices and clean code principles

Teaching approach: Practical and project-based. You'll write actual code from lesson one, build real projects, and gain confidence to apply Python in interviews or at work. Every lesson is customized to your pace and specific needs.

Perfect for: Absolute beginners, career switchers into tech, developers strengthening fundamentals, or anyone preparing for technical interviews.
Cloud Technologies (AWS)
- US$35
- Duration: 2 Months
- Delivery mode: Online
- Group size: 3
- Instruction language: Bengali, English, Hindi
- Certificate provided: No
Master AWS cloud technologies and modern data engineering on the cloud. Learn the essential services, architectures, and best practices used by industry professionals to build scalable, cost-effective cloud solutions.

What you'll learn:
- AWS fundamentals (IAM, EC2, S3, VPC)
- Data storage and databases (RDS, DynamoDB, Redshift)
- Data processing services (Lambda, Glue, EMR, Athena)
- Building data pipelines and ETL workflows
- Cloud architecture patterns and best practices
- Cost optimization strategies
- Security and access management

Teaching approach: Hands-on and practical. You'll work with real AWS services, build actual data pipelines, and learn architectures used in production environments. Every lesson is tailored to your experience level and career goals.

Perfect for: Developers moving to cloud, data engineers learning AWS, IT professionals upskilling, or anyone preparing for AWS certifications or cloud roles.

Prerequisites: Basic programming knowledge helpful but not required. We'll start from your current level.
Data Engineering
- US$40
- Duration: 2 Months
- Delivery mode: Online
- Group size: Individual
- Instruction language: English, Hindi, Bengali
- Certificate provided: No
Learn end-to-end data engineering - from data pipelines to distributed processing with PySpark. Build the skills needed to design, build, and maintain robust data systems used in modern companies.

What you'll learn:
- Data pipeline architecture and design patterns
- PySpark fundamentals and distributed data processing
- ETL/ELT workflows and data transformations
- Working with various data sources (APIs, databases, files)
- Data modeling and warehouse concepts
- Performance optimization and troubleshooting
- Best practices for production data systems
- Real-world project: Build a complete data pipeline

Teaching approach: Project-based and hands-on. You'll build actual data pipelines, work with real datasets, and learn the tools and patterns used by data engineers in production environments. Every lesson is customized to your goals and experience level.

Perfect for: Aspiring data engineers, developers transitioning to data roles, analysts wanting to upskill, or anyone preparing for data engineering interviews.

Prerequisites: Basic Python knowledge recommended. We'll adapt to your current skill level.