Dynamic dashboards for informed decision making by Hammad TariqDynamic dashboards for informed decision making by Hammad Tariq
Dynamic dashboards for informed decision makingHammad Tariq
Cover image for Dynamic dashboards for informed decision making
Providing an end-to-end dashboarding and data visualization solution for automated reporting and informed decision making

What's included

ETL Pipeline
Build and orchestrate an ETL pipeline to extract data from one or more data sources. The ETL pipeline includes 1. Source Connectivity 2. Workflow orchestration (Airflow, Dagster) 3. Data Transformation 4. Load Data to a destination (Data warehouse)
Data Warehouse Implementation
I will build a data warehouse where the transformed and cleaned data resides and from where we will use the data for reporting and dashboarding Data warehousing tools like Amazon S3, Google Cloud Storage, Azure SQL, Amazon RDS and Azure DynamoDB can be utilized for data warehouse implementation
Data Visualization
Data visualization with 1. Matplotlib (web based, Jupyter Notebook, Google Collab) 2. Power BI 3. Tableaue The dynamic charts and visualizations can be used for reporting, decision making and training of machine learning and AI models
Starting at$15 /hr
Schedule a call
Tags
Matplotlib
Microsoft Power BI
Tableau
TensorFlow
Data Analyst
Data Scientist
Data Visualizer
Service provided by
Hammad Tariq Islamabad, Pakistan
Dynamic dashboards for informed decision makingHammad Tariq
Starting at$15 /hr
Schedule a call
Tags
Matplotlib
Microsoft Power BI
Tableau
TensorFlow
Data Analyst
Data Scientist
Data Visualizer
Cover image for Dynamic dashboards for informed decision making
Providing an end-to-end dashboarding and data visualization solution for automated reporting and informed decision making

What's included

ETL Pipeline
Build and orchestrate an ETL pipeline to extract data from one or more data sources. The ETL pipeline includes 1. Source Connectivity 2. Workflow orchestration (Airflow, Dagster) 3. Data Transformation 4. Load Data to a destination (Data warehouse)
Data Warehouse Implementation
I will build a data warehouse where the transformed and cleaned data resides and from where we will use the data for reporting and dashboarding Data warehousing tools like Amazon S3, Google Cloud Storage, Azure SQL, Amazon RDS and Azure DynamoDB can be utilized for data warehouse implementation
Data Visualization
Data visualization with 1. Matplotlib (web based, Jupyter Notebook, Google Collab) 2. Power BI 3. Tableaue The dynamic charts and visualizations can be used for reporting, decision making and training of machine learning and AI models
$15 /hr