Subash

Skills & Technical Expertise

I have a strong foundation in Data Analytics, Business Intelligence, SQL, Power BI, and modern data engineering technologies, with the ability to explain technical concepts in a simple, structured, and practical manner.

My primary expertise is in Power BI, including data visualization, dashboard development, Power Query, DAX, data modeling, relationships, calculated columns, measures, time intelligence, KPI development, Row-Level Security (RLS), Power BI Service, report publishing, and data refresh. I can guide learners from the fundamentals of Power BI through advanced report development and real-world business intelligence scenarios.

I have strong working knowledge of SQL and relational databases, including joins, subqueries, CTEs, aggregations, CASE statements, window functions, data filtering, transformation, and data analysis. I focus on teaching not only SQL syntax but also how SQL is used to solve practical business and analytical problems.

I also have hands-on knowledge of Databricks, Delta Lake, Apache Spark, and PySpark, including DataFrames, transformations, joins, aggregations, filtering, data cleansing, data ingestion, and distributed data processing. I can explain modern data engineering concepts such as the Medallion Architecture (Bronze, Silver, Gold), Delta tables, ACID transactions, schema evolution, time travel, incremental processing, and data pipelines using practical examples.

My knowledge of AWS and Microsoft Azure allows me to introduce learners to cloud-based data platforms and explain how cloud technologies integrate with Databricks, data engineering pipelines, databases, and Power BI.

I am particularly interested in teaching through a practical, project-oriented approach. Rather than limiting training to theoretical concepts, I prefer demonstrating how technologies are used in real-world scenarios—from sourcing and ingesting raw data, transforming and validating it, building analytical datasets, and finally developing interactive Power BI dashboards.

Teaching & Training Strengths

* Ability to explain complex technical concepts in a simple and easy-to-understand manner
* Strong focus on hands-on learning and practical demonstrations
* Ability to teach concepts progressively, from beginner to advanced levels
* Real-world examples and business use cases to make technical concepts easier to understand
* Practical exercises and problem-solving activities to reinforce learning
* Ability to guide learners while working on Power BI dashboards, SQL queries, and data transformation tasks
* Interview-oriented technical preparation and scenario-based questioning
* Ability to identify learner gaps and adapt the explanation accordingly
* Strong emphasis on understanding the “why” behind a concept, rather than only teaching syntax or procedures
* Ability to connect multiple technologies and demonstrate an end-to-end data analytics workflow

Technologies

Data Analytics & BI: Power BI, DAX, Power Query, Power BI Service, Data Modeling, RLS, Data Visualization

Databases & Querying: SQL, MySQL, Relational Databases

Data Engineering: Databricks, Delta Lake, Apache Spark, PySpark, ETL/ELT, Data Ingestion, Data Pipelines, Medallion Architecture, Metadata and Control Tables

Cloud: AWS, Microsoft Azure

My overall approach as a trainer is to make technical learning practical, structured, interactive, and industry-oriented, helping learners understand not only how to use a technology but also where and why it is used in real-world data projects.