Srini

Srinimf

Blog: https://srinimf.com/
Blog: https://srinimf.com/
Profile: https://srinimf.com/author/moonrobot/
Profile: https://srinimf.com/author/moonrobot/
Homepage: https://srinimf.com
Homepage: https://srinimf.com

AWS EMR Tutorial: Beginner’s Guide to Big Data Processing on the Cloud

Learn AWS EMR from scratch! Step-by-step guide for beginners to run Spark jobs, integrate with S3, and process big data efficiently in the cloud.
Top PySpark & AWS Glue Q&A for Big Data Practitioners

Learn practical PySpark and AWS Glue tips for ETL, caching, sampling, joins, and partitioning. A Q&A guide with real examples for big data workflows.
S3 to Redshift Data Ingestion: ETL Project for Beginners

earn how to load CSV data from Amazon S3 into Redshift using the COPY command. Step-by-step guide for building efficient ETL pipelines in AWS.
Top SQL, PySpark, and AWS Cluster Interview Questions with Answers

Prepare for data engineering and data science interviews with these top SQL, PySpark, Python, and AWS vs Spark Cluster interview questions. Includes examples on SCDs, email masking, duplicates, window functions, and cluster comparisons.
Top 10 Nike Data Engineer Interview Questions on Spark, SQL, and Delta Lake (2025)

Prepare for your Nike Data Engineer interview with these top Spark 3 vs 2, SQL CTE, Delta Lake, and PySpark questions. Includes code examples, optimizations, and real-world scenarios to help you crack your 2025 interview.
Altimetrik Interview Questions 2025 – Python, SQL, and PySpark Explained

Prepare for Altimetrik interviews with these 10 essential Python, SQL, and PySpark questions and solutions. Covers coding, data transformation, and real-world problem-solving for 2025
PySpark Stored Procedure Alternative Explained for Interview Prep

Stored procedures in MySQL vs PySpark explained. Covers definitions, code examples, UDFs, and when to use each approach. Perfect for interviews.
AWS Glue and Related Services Explained: Parallelism, Performance, Scalability

Quick guide to AWS Glue, S3, Kinesis, Kafka, and more. Covers failures, performance tuning, scalability, access control for data engineering interviews.
Python Interview Prep in 1 Hour: 12 Essential Coding Programs

Master Python interview prep with 12 quick coding programs. Learn key concepts like palindrome, Fibonacci, prime numbers, sorting, and more in 1 hour.
Crack Your AWS Interview: Key Questions on Lambda Scalability, Glue Jobs, and IAM

Prepare for AWS interviews with top questions on Lambda, Glue, S3, IAM, and PySpark. Real-world answers with SQL and troubleshooting examples.
Master Data Engineering Vocabulary for Client Interviews

This Data Engineering Vocabulary Guide emphasizes the importance of clear communication in data engineering roles. It covers essential terms and phrases related to data pipelines, processing, governance, and performance optimization, as well as common challenges and best practices for tools like AWS Glue and Kafka, ensuring engineers can effectively articulate their work.
Complete Data Engineer Roadmap: Tools and Skills Explained

Discover the complete path to become a Data Engineer in 2025. Learn the essential tools, technologies, and platforms—like Spark, Kafka, Airflow, and cloud services—that power modern data pipelines and help you build a successful career in data engineering.”