Databricks for Beginners: Your First Step into Data Engineering

​Join Sayli Nikumbh, Senior Data Engineer at Enqurious, for a beginner-friendly, concept-driven workshop that demystifies how modern data pipelines are built and why Databricks is fast becoming the platform of choice for data engineers.

​This session starts by unpacking ELT (Extract, Load, Transform) and how it differs from traditional ETL. You’ll see why cloud-native teams are adopting ELT to handle large datasets more flexibly and at scale.

​Next, explore why PySpark is a must-have skill for today’s data engineers. Sayli will show how PySpark powers distributed processing, manages structured and semi-structured data, and simplifies large-scale transformations.

​Finally, discover Databricks as a Unified Analytics Platform—combining the strengths of data lakes and warehouses through its Lakehouse architecture. Learn how Databricks supports both batch and streaming pipelines, enabling teams to move seamlessly from raw data to actionable insights.

​No prior Databricks or PySpark experience is required.

​A basic familiarity with SQL, Python, or Spark is helpful, but curiosity and a desire to explore new tools are the only prerequisites.

​By the end of this webinar, you’ll walk away with a clear mental model of ELT pipelines, an understanding of PySpark’s role in scalable data processing, and insight into how Databricks unifies the entire data journey—setting you up for your first hands-on steps in data engineering.

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