Service
Data Engineering & Analytics
Build data pipelines, warehouses, and real-time analytics with modern stack.
The Challenge
Fragmented data sources, manual reporting processes, and lack of real-time insights prevent data-driven decision making.
Our Approach
- Automated ETL/ELT pipelines with Apache Airflow
- Centralized data warehouse (PostgreSQL, ClickHouse)
- Real-time data streaming with Kafka
- Interactive BI dashboards (Metabase, Grafana)
- Data lake architecture for big data
- Scheduled reports and alerting
Deliverables
- Data pipeline architecture and workflows
- Automated ETL/ELT jobs
- Data warehouse with optimized schemas
- Interactive dashboards and reports
- Real-time streaming infrastructure
- Documentation and runbooks
Technology Stack
Apache Airflow
PostgreSQL
ClickHouse
Apache Kafka
Redis
Python
Pandas
Metabase
Grafana
dbt
Ready to get started?
Let's discuss how we can help with your data engineering & analytics needs.