Data Warehouse & ETL Pipeline Development
About this offering
Build data warehouses and ETL pipelines that consolidate data from multiple sources for analytics and reporting. I create systems that extract, transform, and load data automatically, ensuring your analytics always have fresh, accurate data. Perfect for businesses with data scattered across multiple systems needing centralized reporting. My solutions handle data quality, transformations, scheduling, and provide a single source of truth for analytics. You'll receive a complete data pipeline with automated extraction, transformation logic, data quality checks, and monitoring. Your analysts and BI tools will have access to clean, reliable data for decision making.
What you'll get
- Data warehouse design
- ETL pipeline development
- Multiple data source integration
- Data transformation and cleaning
- Automated scheduling
- Data quality validation
- Error handling and logging
- Incremental data loading
- Historical data tracking
- Performance optimization
- Monitoring and alerts
Technologies used
How it works
Frequently Asked Questions
How long does data warehouse development take?
Data warehouse and ETL development typically takes 6-10 weeks including schema design, ETL pipeline creation, data quality implementation, testing, and initial data loading.
What data sources can you integrate into data warehouses?
We integrate databases, APIs, CSV files, cloud storage, CRM systems, marketing platforms, financial software, and virtually any data source into centralized data warehouses.
How often does data update in the warehouse?
We configure update schedules based on your needs - real-time streaming, hourly, daily, or weekly. Most businesses use daily overnight updates for batch processing.
Can you handle data quality issues?
Yes, ETL pipelines include data validation, cleaning, deduplication, format standardization, and error handling to ensure only quality data enters your warehouse.
What happens if source data changes?
We build flexible ETL pipelines with schema evolution handling, change tracking, and monitoring that alerts you to unexpected data changes requiring pipeline updates.
Can business users query the data warehouse?
Yes, we create user-friendly views, connect BI tools like Tableau or Power BI, and can build custom query interfaces that allow non-technical users to access data.
How much does data warehouse development cost?
Data warehouse development ranges from $3,500 to $20,000 depending on number of data sources, transformation complexity, volume, and BI tool integration requirements.
