Real-Time Data Engineering Solution -- 2
Budget: $30 – $250 USD
I’m looking for a freelancer to build a lightweight but robust real-time data engineering and dashboard system.
The system should:
Ingest streaming data (simulated or from external sources).
Connect to both on-premises storage and cloud platforms (e.g., Azure Data Lake or Blob Storage).
Prioritize real-time data processing to handle continuous streams efficiently.
Integrate with data warehouses such as Snowflake, BigQuery, or Redshift for scalable data management.
Provide dynamic, interactive visualizations using tools like Streamlit or Power BI.
Be responsive, reliable, and easy to deploy.
Deliverables:
Clean and documented code (Python preferred)
Database schema and pipeline setup
Real-time dashboard with auto-refresh
Deployment instructions
Budget: $30 – $250 USD (Micro Project)
Timeline: 5 – 7 days
The system should:
Ingest streaming data (simulated or from external sources).
Connect to both on-premises storage and cloud platforms (e.g., Azure Data Lake or Blob Storage).
Prioritize real-time data processing to handle continuous streams efficiently.
Integrate with data warehouses such as Snowflake, BigQuery, or Redshift for scalable data management.
Provide dynamic, interactive visualizations using tools like Streamlit or Power BI.
Be responsive, reliable, and easy to deploy.
Deliverables:
Clean and documented code (Python preferred)
Database schema and pipeline setup
Real-time dashboard with auto-refresh
Deployment instructions
Budget: $30 – $250 USD (Micro Project)
Timeline: 5 – 7 days
Related categories:
Python
Software Architecture
Azure
NoSQL Couch & Mongo
Database Programming
Redshift
BigQuery
Snowflake