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
- Contemporary 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