Data Engineering Services
Build robust data infrastructure with automated lineage tracking and real-time insights
Most data problems aren't about tooling — they're about design. Pipelines built in a hurry break in silence, and teams lose trust in the numbers. I work with companies to untangle existing data infrastructure and build systems that stay reliable as you scale.
Whether you need to migrate a warehouse, consolidate fragmented ETL jobs, or build lineage tracking into your workflow from day one, I bring hands-on engineering — not just architecture slides. Every engagement starts with your actual SQL and data flows, not hypothetical diagrams.
I've built and maintained pipelines across Snowflake, BigQuery, Redshift, and PostgreSQL. If your data team is stretched thin or you need a specialist for a critical migration, let's talk.
- Column-level data lineage
- Real-time updates
- Impact analysis
- Custom refresh schedules
- ETL/ELT pipeline development
- Workflow orchestration
- Error handling & monitoring
- Performance optimization
- Data modeling
- Schema design
- System integration
- Performance tuning
How We Work
Discovery
I audit your current pipelines, schemas, and data flows to identify bottlenecks and risks before writing any code.
Build
I design and implement the solution — pipelines, models, orchestration — working in your stack with your team.
Handoff
You get documentation, runbooks, and a clean handoff so your team can own and extend everything I build.
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