Passionate about transforming data into actionable insights and building scalable data solutions.
- 📈 Data Analyst & Data Engineer
- 🐍 Python | SQL | Power BI
- ⚙️ ETL Pipelines & Data Engineering
- ☁️ Cloud & Big Data Enthusiast
- 📚 Continuously learning and building
- Python
- SQL
- Power BI
- Excel
- Pandas
- NumPy
- Matplotlib
- Statistics
- Python
- SQL
- Apache Airflow
- Apache Spark
- Docker
- Data Warehousing
- AWS
Problem Statement: Describe the business problem here.
Key Skills:
- Data Cleaning
- Exploratory Data Analysis
- Dashboard Development
Tech Stack: Python | SQL | Power BI
Repository: [Project Link]
Problem Statement: Describe the business problem here.
Key Skills:
- KPI Analysis
- Reporting
- Visualization
Tech Stack: Python | Excel | SQL
Repository: [Project Link]
Problem Statement: Describe the business problem here.
Key Skills:
- Statistical Analysis
- Business Insights
- Storytelling
Tech Stack: Python | Power BI
Repository: [Project Link]
Objective: Built an end-to-end cloud-based data analytics pipeline by ingesting the Olist E-commerce dataset into Google Cloud Platform (GCP), designing a data warehouse, and implementing data transformations using dbt.
Key Skills:
- ETL Development
- Data Modeling
- Workflow Automation
Tech Stack: DBT | BIGQUERY | SQL
Repository: [https://github.com/kaushik-dwivedi/GCP_DBT]
Objective: Describe the engineering goal here.
Key Skills:
- Data Pipeline Design
- Big Data Processing
Tech Stack: Spark | Python | AWS
Repository: [Project Link]
Objective: Describe the engineering goal here.
Key Skills:
- Data Warehousing
- Docker
- Pipeline Orchestration
Tech Stack: Docker | SQL | Python
Repository: [Project Link]
- Data Analyst Roles
- Business Analyst Roles
- Data Engineer Roles
- Analytics Engineer Roles
- LinkedIn: https://www.linkedin.com/in/kaushikdwivedi/
- Email: kaushikdwivedi22@gmail.com
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