| Day | Topic / Outcome | Activities | Mode | Documents / Links |
| Day 1 | Technical Foundations – SQL & Databricks | Basic SQL refresher, Databricks workspace walkthrough, cluster intro | KT | SQL guide, Databricks basics |
| Day 2 | Project Architecture Overview | End-to-end flow walkthrough, data sources, pipelines overview | KT | Architecture deck (placeholder) |
| Day 3 | Project Business Context (Placeholder) | Business KPIs, domain concepts, stakeholder groups | KT | BRD, KPI doc |
| Day 4 | Hands-on Working Sessions | Mini tasks in Databricks, reading tables, running notebooks | KT | Sample notebooks / queries |
| Day 5 | Reverse Knowledge Transfer (vRKT) | Trainee explains Day 1–4 learning through demo or Q&A | vRKT | Notes prepared by joiner |
| Day 6 | Data Model & Tables Deep Dive | Table structure review, key fields, lineage | KT | Data dictionary (placeholder) |
| Day 7 | Pipeline & Scheduling Deep Dive | Walk through ADF/Workflow/Notebook orchestration | KT | Pipeline diagrams |
| Day 8 | Project-Specific Logic (Placeholder) | Core business logic, transformation rules | KT | Logic design doc |
| Day 9 | Validation & QA Process | How validation is performed, test cases, error handling | KT | Test case Excel |
| Day 10 | Final RKT / Assessment | Walk through end-to-end flow, execute sample task | RKT | RKT checklist |
Please follow and like us:
