Update Technical_README.md

Technical_README.md

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 Deterministic agent **executes a known plan**, while an autonomous agent **figures out the plan as it goes**.
 
-agentic data engineering app for profiling datasets, validating schemas, detecting data-quality failures, executing safe read-only SQL checks, and generating SQL + PySpark pipelines
 
-agent model loads a user dataset, creates a structured DataContext, gives a Qwen3-Coder agent access to  engineering tools, and lets the model decide which tools to call before producing a final engineering assessment and pipeline code
+### Agent Goals:
+- agentic data engineering app for profiling datasets, validating schemas, detecting data-quality failures, executing safe read-only SQL checks, and generating SQL + PySpark pipelines
+
+- agent model loads a user dataset, creates a structured DataContext, gives a Qwen3-Coder agent access to  engineering tools, and lets the model decide which tools to call before producing a final engineering assessment and pipeline code
+
 
 #### Data Cleaning / Audit Tasks
 Data Engineering Agent can analyze and clean datasets by first understanding their structure and quality