Author
Keshav Kumar, Data Engineer
Data engineer in Bengaluru, India, Databricks Certified Data Engineer Professional, and the person behind DataDank.
About Keshav
Keshav Kumar is a data engineer who designs and runs cloud-native ELT pipelines. His work sits where most data teams spend their time: lakehouses on Databricks and Delta Lake, warehouses on Snowflake, transformations in PySpark, SQL and dbt, and orchestration with Apache Airflow and Azure Data Factory on Microsoft Azure and AWS. He has also modernised legacy Vertica systems and moved large Spark estates onto Unity Catalog governance.
DataDank started with his own interview preparation. The material was everywhere: SQL in one place, PySpark in another, system design, Databricks, Snowflake and interview questions spread across a dozen sites, with no clear order. He built DataDank to be the structured path he was missing: one route from SQL fundamentals to system design, a runnable example behind every concept, links to official documentation for every claim, and a 90-day plan to keep learners on track.
Certifications
Selected work
Platforms he works with
How he writes for DataDank
Keshav runs DataDank and is responsible for its lessons, interview answers and projects. Examples are executed before they are published and state the versions they ran on, technical claims link to official documentation, and pages are reviewed again when the tools change. The About page explains the editorial process in full, including how AI tools are used.
The courses closest to his day-to-day work:
- Databricks for Data Engineers
- Delta Lake for Data Engineers
- PySpark for Data Engineers
- Snowflake for Data Engineers
- dbt for Data Engineers
- Apache Airflow for Data Engineers
Education
Sathyabama Institute of Science and Technology, Chennai (2020–2024).
Connect
Follow or message Keshav on LinkedIn. For corrections or feedback on a page, email [email protected] with the page address.