Your data is scattered across CSVs, databases, cloud buckets, and someone’s laptop. We build the pipelines that clean, transform, and deliver it, so your analyses are reproducible and your dashboards are current.
What We Do
- ETL pipeline design and implementation
- PySpark and distributed data processing
- Database design, migration, and optimization
- Data cleaning and normalization for messy biological datasets
- Automated reporting and dashboard development
- Data security policies and access controls
- Integration between lab instruments, cloud storage, and analysis platforms
Deliverables
- Documented ETL pipeline from defined source to defined destination
- Database schema with migration scripts and backup procedures
- Automated data quality checks and validation reports
- Dashboard or reporting interface for stakeholders
- Runbook for operations, monitoring, and troubleshooting
Data pipeline a mess? Let’s talk.
