Why Data Lakes Faced Big Challenges 👇 • Data Lakes started as a flexible, scalable way to store huge amounts of data. → Just dump everything into cheap storage like S3, Azure Data Lake, or GCS → Process it later when needed • But as they grew… a major issue appeared 👇…
> People often get confused about what all the topics they have to cover as a Data Engineer, so here’s a complete breakdown 👇 If you’re starting your journey or switching from a software/dev background, this will give you a clear roadmap. 1. Programming Fundamentals - You…
> Here are 5 project ideas that say "I don’t just use PySpark, I make it production-ready, efficient, and scalable" 1. Data Lakehouse ETL with PySpark + Delta Lake → Build a structured ETL pipeline that converts raw data into clean, queryable Delta tables. • Use PySpark to…
> Python Projects That Can Get You Hired Instantly as a Data Engineer in 2025 (Data Infrastructure & Automation Edition) - In 2025, it’s not enough to just say you "built data pipelines" or "know ETL tools". - Hiring managers want engineers who can automate, optimize, and…
How LinkedIn Engineers Built Apache Kafka: The Backbone of Real-Time Data Streaming
> The Easiest Way to Master Data Engineering in 2025 (Step-by-Step Roadmap) In 2025, saying “I’m learning data engineering” means nothing if you can’t build real data systems. You don’t need 10 courses, you need the right order. - Here’s the simplest roadmap to go from zero →…
Ever wondered how companies like Netflix or Amazon handle massive amounts of data in real time? - You can easily find answers to complex data questions using → Data Warehouse Technologies - Tools like → Snowflake, Google BigQuery, and AWS Redshift help store and analyze…
> Python Projects That Can Get You Hired Instantly as a Data Engineer in 2025 (Cloud & Big Data Edition) In 2025, it’s not enough to just say you “know AWS” or “worked with GCP.” Recruiters want to see that you can actually build scalable data systems on the cloud, not just run…
If you’re doing this in the name of Open Source contribution, that’s a shame.
> 10 Advanced Python Interview Questions Every Data Engineer Should Know 1. How does Python’s Global Interpreter Lock (GIL) impact data pipelines? - The GIL allows only one thread to run Python code at a time. This limits true parallelism in CPU-bound tasks, so data engineers…
> Python Projects That Can Get You Hired Instantly as a Data Engineer in 2025 - If you want to stand out this year, you need to move beyond “I know Python.” - Recruiters want proof that you can use Python to build data systems that actually work, at scale, in production-like…
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