End-to-end data services
for modern businesses
From raw data ingestion to analytics-ready datasets — we handle the complexity so you can focus on growth.
Data Pipeline Automation (ETL/ELT)
We collect data from your CRM, payment systems, marketing platforms, and internal tools — then transform and load it into your data warehouse on schedule.
- Custom connectors for any data source
- Automated scheduling & orchestration
- Real-time monitoring & alerting
- Full documentation & runbooks
Data Cleaning & Normalization
Eliminate duplicates, fix inconsistent formats, validate records, and enrich your data with automated quality rules and reporting.
- Deduplication & entity resolution
- Format normalization & validation
- Enrichment rules & quality scoring
- Data quality reports & dashboards
Managed Data Operations (DataOps Retainer)
Ongoing pipeline support, incident response, cost optimization, and daily quality checks — all covered under a predictable monthly retainer.
- SLA-backed response times
- Monthly performance reports
- Continuous improvement backlog
- Dedicated ops engineer
Cloud Data Hosting & Warehousing Setup
Set up a secure, optimized data warehouse on BigQuery, Snowflake, or Redshift — complete with roles, backups, and access management.
- Infrastructure-as-code setup
- Security & role-based access
- Automated backups & disaster recovery
- Best-practice configuration handover
Analytics-Ready Datasets & Reporting
We prepare data marts, KPI layers, and unified metric definitions that plug directly into your BI tools — Looker, Power BI, Tableau, and more.
- "Single source of truth" datasets
- KPI dictionary & metric definitions
- BI-ready data models
- Self-service reporting enablement
Data Migration & System Integrations
Seamlessly migrate data between systems and build API integrations, webhooks, and sync jobs — with integrity checks every step of the way.
- Migration planning & risk assessment
- Data integrity validation
- API & webhook integrations
- Post-migration audit report
Transparent, flexible pricing
Choose a starting point — every engagement is tailored to your data, systems, and goals.
For teams getting their first pipelines running
- 1–2 data source connectors
- Basic data cleaning & normalization
- Weekly refresh schedule
- Documentation & handover
For scaling teams with multiple data needs
- 3–6 data source connectors
- Daily refresh & real-time monitoring
- KPI-ready datasets for BI
- 30-day post-launch support
For organizations with complex data governance
- Unlimited data sources
- Security, roles & data governance
- SLA-backed managed operations
- Multi-environment architecture