Built for data engineering
The curriculum focuses on the work data engineers actually practise: SQL, PySpark, Pandas, data structures, data modelling, system design, and interview preparation.
DataPathsala is an independent practice platform created by Manish Kumar, a data engineer, to make focused data engineering preparation more accessible and practical.
General coding platforms are useful, but data engineers also need repeated practice with tabular data, distributed processing, schema design, pipelines, and the trade-offs discussed in real interviews. Those subjects are often scattered across tutorials and question lists that cannot be executed or checked.
DataPathsala brings that preparation into one place. Learners can solve data problems in SQL, Pandas, and PySpark, practise DSA in Python or Java, design data models, follow topic roadmaps, and study interview and system-design material. The aim is to help a learner understand why an approach works and then prove it by running it.
The site is funded through subscriptions, credits, and advertising so that a useful free learning layer can remain available. Advertising does not determine which questions, explanations, or recommendations are published.
The curriculum focuses on the work data engineers actually practise: SQL, PySpark, Pandas, data structures, data modelling, system design, and interview preparation.
Problems run in isolated environments with test cases, so learners can move beyond reading and test their reasoning against concrete inputs and outputs.
Questions, explanations, study plans, and roadmaps are organised to teach transferable concepts instead of encouraging users to copy one-off answers.
Content is checked before publication and is updated when learners identify ambiguity, incorrect test data, or an explanation that can be clearer.
DataPathsala is built and operated by Manish Kumar. It is not owned by or affiliated with the companies mentioned in interview-preparation content.
Questions about the platform, privacy, billing, corrections, or content can be sent to support@datapathsala.com.
You can also use the contact page or submit a detailed correction through the feedback option available across the site.