# hnawaz007/pythondataanalysis architecture

> Architecture diagram of the GitHub repository hnawaz007/pythondataanalysis, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-29). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/hnawaz007/pythondataanalysis
- Repository: https://github.com/hnawaz007/pythondataanalysis

## Overview

This repository is a collection of independent Python examples for data engineering, analytics, machine learning, and web applications, rather than one integrated product. A prominent workflow extracts data from SQL or object storage, transforms or selects it, and loads it into a database or lake; separate applications query stored data and present dashboards or natural-language answers. The tree also documents Airflow, Dagster, dbt, and cloud examples. Sampled source supports the detailed ETL and application links shown; other listed examples are represented as standalone branches where their wiring was not sampled.

Main entry points: [`NLP & AI database integration/app.py`](https://github.com/hnawaz007/pythondataanalysis/blob/main/NLP%20%26%20AI%20database%20integration/app.py) (Database chat app), [`ETL Pipeline/build_etl_pipeline_python.py`](https://github.com/hnawaz007/pythondataanalysis/blob/main/ETL%20Pipeline/build_etl_pipeline_python.py) (SQL ETL example), [`AWS Data Lake/main.py`](https://github.com/hnawaz007/pythondataanalysis/blob/main/AWS%20Data%20Lake/main.py) (AWS lake loader), [`VoiceAssistant/app.py`](https://github.com/hnawaz007/pythondataanalysis/blob/main/VoiceAssistant/app.py) (Voice assistant)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_etl["Data pipelines"]
  node_pythonetl["SQL ETL example"]
  node_awslake["AWS lake loader<br/>[main.py]"]
  node_dlt_sql["SQL dlt pipelines"]
  node_dlt_chess["Chess dlt source<br/>[chess_pipeline.py]"]
  node_dlt_data["SQL Server stream<br/>[data_pipeline.py]"]
  node_dlt_s3["S3 sales loader<br/>[etl_pipeline.py]"]
end

subgraph group_orchestration["Orchestration"]
  node_airflow["Airflow DAG examples<br/>[airbyte_dag.py]"]
  node_airflow_sql["SQL DAG examples<br/>[run_sql_dag.py]"]
  node_dagster["Dagster ETL examples<br/>[run_etl.py]"]
  node_dagster_assets["Dagster data assets"]
end

subgraph group_analytics["Analytics apps"]
  node_clickhouse_app["Sales dashboard<br/>[app.py]"]
end

subgraph group_assistants["AI assistants"]
  node_nlp_app["Database chat app<br/>[app.py]"]
  node_voice["Voice assistant<br/>[app.py]"]
end

node_engineer(("Data engineer"))
node_sqlserver[("SQL Server")]
node_s3[("S3 / MinIO")]
node_postgres[("PostgreSQL")]
node_clickhouse[("ClickHouse")]
node_user(("App user"))
node_sql_model["SQL-generating model"]
node_chat_model["Answer-generating model"]
node_microphone(("Microphone input"))
node_speech["Speech and web services"]

node_engineer -->|"runs extraction"| node_pythonetl
node_pythonetl -->|"reads tables"| node_sqlserver
node_pythonetl -->|"writes tables"| node_postgres
node_engineer -->|"runs extraction"| node_awslake
node_awslake -->|"reads tables"| node_sqlserver
node_awslake -->|"uploads CSV"| node_s3
node_engineer -->|"runs pipeline"| node_dlt_sql
node_dlt_sql -->|"loads tables"| node_postgres
node_engineer -->|"runs pipeline"| node_dlt_chess
node_dlt_chess -->|"loads resources"| node_postgres
node_dlt_data -->|"streams rows"| node_sqlserver
node_dlt_data -->|"loads rows"| node_postgres
node_dlt_s3 -->|"reads parquet"| node_s3
node_dlt_s3 -->|"loads records"| node_postgres
node_user -->|"asks question"| node_nlp_app
node_nlp_app -->|"generates SQL"| node_sql_model
node_nlp_app -->|"runs query"| node_postgres
node_nlp_app -->|"formats answer"| node_chat_model
node_user -->|"views dashboard"| node_clickhouse_app
node_clickhouse_app -->|"queries sales"| node_clickhouse
node_microphone -->|"provides audio"| node_voice
node_voice -.->|"recognizes and speaks"| node_speech
node_voice -.->|"opens web result"| node_user

click node_pythonetl "https://github.com/hnawaz007/pythondataanalysis/blob/main/ETL%20Pipeline/build_etl_pipeline_python.py"
click node_awslake "https://github.com/hnawaz007/pythondataanalysis/blob/main/AWS%20Data%20Lake/main.py"
click node_dlt_sql "https://github.com/hnawaz007/pythondataanalysis/blob/main/ETL%20Pipeline/dltproject/sql_database_pipeline.py"
click node_dlt_chess "https://github.com/hnawaz007/pythondataanalysis/blob/main/ETL%20Pipeline/dltproject/chess_pipeline.py"
click node_dlt_data "https://github.com/hnawaz007/pythondataanalysis/blob/main/ETL%20Pipeline/dltproject/data_pipeline.py"
click node_dlt_s3 "https://github.com/hnawaz007/pythondataanalysis/blob/main/dbt-datapond/etl_pipeline.py"
click node_airflow "https://github.com/hnawaz007/pythondataanalysis/blob/main/AirflowSession2/dags/airbyte_dag.py"
click node_airflow_sql "https://github.com/hnawaz007/pythondataanalysis/blob/main/AirflowSession2/dags/run_sql_dag.py"
click node_dagster "https://github.com/hnawaz007/pythondataanalysis/blob/main/Dagster/etl/etl/jobs/run_etl.py"
click node_dagster_assets "https://github.com/hnawaz007/pythondataanalysis/blob/main/dagster-project/etl/etl/assets_dataanalysis.py"
click node_clickhouse_app "https://github.com/hnawaz007/pythondataanalysis/blob/main/Clickhouse/app.py"
click node_nlp_app "https://github.com/hnawaz007/pythondataanalysis/blob/main/NLP%20%26%20AI%20database%20integration/app.py"
click node_voice "https://github.com/hnawaz007/pythondataanalysis/blob/main/VoiceAssistant/app.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_pythonetl,node_awslake,node_dlt_sql,node_dlt_chess,node_dlt_data,node_dlt_s3,node_user toneBlue
class node_airflow,node_airflow_sql,node_dagster,node_dagster_assets,node_sqlserver,node_s3,node_postgres,node_clickhouse toneAmber
class node_clickhouse_app toneMint
class node_nlp_app,node_voice toneRose
class node_engineer,node_sql_model,node_chat_model,node_microphone,node_speech toneIndigo
```

## Components

### Data pipelines

- [SQL ETL example](https://github.com/hnawaz007/pythondataanalysis/blob/main/ETL%20Pipeline/build_etl_pipeline_python.py): `ETL Pipeline/build_etl_pipeline_python.py`
- [AWS lake loader](https://github.com/hnawaz007/pythondataanalysis/blob/main/AWS%20Data%20Lake/main.py): `AWS Data Lake/main.py`
- [SQL dlt pipelines](https://github.com/hnawaz007/pythondataanalysis/blob/main/ETL%20Pipeline/dltproject/sql_database_pipeline.py): `ETL Pipeline/dltproject/sql_database_pipeline.py`
- [Chess dlt source](https://github.com/hnawaz007/pythondataanalysis/blob/main/ETL%20Pipeline/dltproject/chess_pipeline.py): `ETL Pipeline/dltproject/chess_pipeline.py`
- [SQL Server stream](https://github.com/hnawaz007/pythondataanalysis/blob/main/ETL%20Pipeline/dltproject/data_pipeline.py): `ETL Pipeline/dltproject/data_pipeline.py`
- [S3 sales loader](https://github.com/hnawaz007/pythondataanalysis/blob/main/dbt-datapond/etl_pipeline.py): `dbt-datapond/etl_pipeline.py`

### Orchestration

- [Airflow DAG examples](https://github.com/hnawaz007/pythondataanalysis/blob/main/AirflowSession2/dags/airbyte_dag.py): `AirflowSession2/dags/airbyte_dag.py`
- [SQL DAG examples](https://github.com/hnawaz007/pythondataanalysis/blob/main/AirflowSession2/dags/run_sql_dag.py): `AirflowSession2/dags/run_sql_dag.py`
- [Dagster ETL examples](https://github.com/hnawaz007/pythondataanalysis/blob/main/Dagster/etl/etl/jobs/run_etl.py): `Dagster/etl/etl/jobs/run_etl.py`
- [Dagster data assets](https://github.com/hnawaz007/pythondataanalysis/blob/main/dagster-project/etl/etl/assets_dataanalysis.py): `dagster-project/etl/etl/assets_dataanalysis.py`

### Analytics apps

- [Sales dashboard](https://github.com/hnawaz007/pythondataanalysis/blob/main/Clickhouse/app.py): `Clickhouse/app.py`

### AI assistants

- [Database chat app](https://github.com/hnawaz007/pythondataanalysis/blob/main/NLP%20%26%20AI%20database%20integration/app.py): `NLP & AI database integration/app.py`
- [Voice assistant](https://github.com/hnawaz007/pythondataanalysis/blob/main/VoiceAssistant/app.py): `VoiceAssistant/app.py`

### Other components

- **Data engineer**
- **SQL Server**
- **S3 / MinIO**
- **PostgreSQL**
- **ClickHouse**
- **App user**
- **SQL-generating model**
- **Answer-generating model**
- **Microphone input**
- **Speech and web services**

## Connections

- Data engineer → SQL ETL example: runs extraction
- SQL ETL example → SQL Server: reads tables
- SQL ETL example → PostgreSQL: writes tables
- Data engineer → AWS lake loader: runs extraction
- AWS lake loader → SQL Server: reads tables
- AWS lake loader → S3 / MinIO: uploads CSV
- Data engineer → SQL dlt pipelines: runs pipeline
- SQL dlt pipelines → PostgreSQL: loads tables
- Data engineer → Chess dlt source: runs pipeline
- Chess dlt source → PostgreSQL: loads resources
- SQL Server stream → SQL Server: streams rows
- SQL Server stream → PostgreSQL: loads rows
- S3 sales loader → S3 / MinIO: reads parquet
- S3 sales loader → PostgreSQL: loads records
- App user → Database chat app: asks question
- Database chat app → SQL-generating model: generates SQL
- Database chat app → PostgreSQL: runs query
- Database chat app → Answer-generating model: formats answer
- App user → Sales dashboard: views dashboard
- Sales dashboard → ClickHouse: queries sales
- Microphone input → Voice assistant: provides audio
- Voice assistant → Speech and web services: recognizes and speaks
- Voice assistant → App user: opens web result