Satyam

I have over 5 years of experience as a Data Engineer, specializing in designing and building scalable data platforms using Databricks, Apache Spark, Python, SQL, Delta Lake, Snowflake, and cloud technologies.

Alongside my professional work, I have been training and mentoring aspiring Data Engineers for the past 5 years. My training focuses on bridging the gap between theory and real-world industry practices by providing hands-on experience with end-to-end data engineering projects.

Key areas of expertise include:

* PySpark and Apache Spark (RDDs, DataFrames, Spark SQL, performance tuning)
* Databricks architecture, Delta Lake, Unity Catalog, and Workflows
* Advanced SQL for analytics and data engineering
* Python for ETL development and data processing
* Data warehousing concepts and dimensional modeling
* ETL/ELT pipeline design and implementation
* Snowflake and modern data platforms
* Cloud data engineering fundamentals (AWS/Azure)
* Data orchestration using Airflow and Databricks Workflows
* Performance optimization, partitioning, file management, and query tuning
* Real-world interview preparation, mock interviews, and coding exercises