Freelance Corporate Trainer role in Databricks, focus on demonstrating both deep technical expertise and the ability to deliver enterprise-level training programs.

Key Skills Expected from a Databricks Trainer

- Databricks Lakehouse Platform

- Apache Spark (PySpark, Spark SQL)

- Delta Lake

- Data Engineering on Databricks

- Data Warehousing & ETL

- Unity Catalog

- Databricks Workflows

- MLflow and Machine Learning on Databricks

- Databricks SQL

- Data Governance & Security

- Azure Databricks / AWS Databricks / GCP Databricks

- CI/CD and DevOps Integration

- Performance Tuning & Optimization

Corporate Training Topics

Module 1: Introduction to Databricks

- Up-to-date Data Platform Overview

- Lakehouse Architecture

- Databricks Workspace Components

- Clusters and Compute Resources

Module 2: Apache Spark Fundamentals

- RDDs, DataFrames, Datasets

- Spark Architecture

- Transformations and Actions

- Spark SQL

Module 3: PySpark Programming

- DataFrame Operations

- Data Cleaning and Transformation





- Window Functions

- Joins and Aggregations

Module 4: Delta Lake

- ACID Transactions

- Time Travel

- Schema Evolution

- Data Versioning

Module 5: Data Engineering

- ETL Pipelines

- Batch Processing

- Streaming with Structured Streaming

- Auto Loader

Module 6: Databricks SQL

- Warehouses

- Dashboards

- Query Optimization

- BI Integration

Module 7: Unity Catalog & Governance

- Data Security

- Role-Based Access Control

- Data Lineage

- Governance Best Practices

Module 8: Machine Learning with Databricks

- MLflow

- Feature Engineering

- Model Training

- Model Deployment

Module 9: Performance Optimization

- Partitioning

- Caching

- Query Tuning

- Cluster Sizing

Module 10: Real-Time Projects

- Data Lakehouse Implementation

- Retail Analytics

- Banking Data Pipeline

- IoT Streaming Analytics

📌 Trainer Databricks (Telangana)
🏢 Galactix Solutions
📍 Telangana