Data Service Standup

Date: February 27, 2026 Source: Granola Meeting ID: 456c0322-b5d3-4632-97d0-6ce55ccdb3d6 URL: https://notes.granola.ai/t/456c0322-b5d3-4632-97d0-6ce55ccdb3d6

Participants:

Summary

Eden OS
- All modeling work completed
- Gantt chart document submitted with milestone list
- Blocked on data access for testing and deployment
- Converting Gantt chart to linear tasks for Awaish
Magic Spoons
- Previous billing issue fixed (won’t affect current cycle)
- Cooldown period removed - next cycle should run smoothly
- Ashwini continuing work on Springs API extraction
CSO (Demilade)
- SOW finalized for 12-month contract
- Plan to ramp up budget as opportunities arise
- Next steps: extract spins data, finish remaining models
- Reduced scope initially to focus on spins for first few weeks

CTA
- Technical team more accessible than Element - direct Slack communication encouraged
- Missing data in route tables, checking S3 for ingestion
- SQL query model includes all required fields
- 50% of CS modeling work can be completed with current progress
Element
- Awaish and Amber pairing effectively this week
- Renewal proposal submitted - 30% larger than Eden deal
- Planning to add 3 new team members if deal closes
- Would become largest contract to date
- Adding senior analyst (potentially Jasmine) and another AE
- Focus on completing Phil’s deliverables and responding to Shivani
Default
- Modeling started, dashboard development in progress
- Clear requirements gathered for metrics
- 3 dashboards planned: financial summary, existing migration, plus one additional
- Team gaining data access and Omni training scheduled
- On track per Gantt chart timeline

Eden For
- GHL integration implemented (NOTand Zanoji GHL)
- Zapier account upgrade needed - awaiting client credit card
- Robert connecting Felicia directly to Coral Data for automation
- New task received from Mustafa yesterday
General Technical Notes
- Multiple ad hoc client requests ongoing
- Semrush analysis feedback: data directionally good, code complexity too high
- Various API integrations and data pipeline work in progress

Final interview process discussion (Awaish, Demilade, Uttam)
Creating standardized technical exercises:
- Data Engineer task: Airbyte/Airflow setup, CSV to DuckDB/Postgres ingestion, DBT implementation (2-3 hour homework)
- Analytics Engineer task: DBT repo with optimization challenges, intermediate to mart layer development, query performance improvements
GitHub repos being created for each exercise type
Kayla managing recruitment pipeline effectively
Multiple analysts in final rounds, Jasmine showing strong potential