SaaS & Product · E-commerce Unicorn
Built a 12-member data engineering pod in 3 weeks
Assembled a complete data engineering team for a hyper-growth e-commerce company preparing for IPO readiness.
- Spark
- Kafka
- Airflow
- Snowflake
- Python
- dbt
Engagement card
E-commerce Unicorn
- Team Built
- 12 engineers
- Time to Full Team
- 3 weeks
- Cost vs In-House
- 40% less
- Duration
- 3 weeks
- Talpro team
- 2
Representative outcome · attributed on request
The situation
What the client walked in with.
An e-commerce unicorn was 4 months away from IPO filing and urgently needed a 12-member data engineering team to build the analytics infrastructure required for SEC compliance reporting. Internal hiring was producing 1-2 hires per month — far too slow for the timeline.
What we ran
The engagement.
Talpro activated our data engineering specialist network and ran a focused 3-week sprint. We pre-screened candidates on Spark, Kafka, and Snowflake proficiency, conducted pair-programming assessments, and coordinated batch interviews to compress the hiring timeline.
Representative outcome · attributed on request
What it left the client with.
- Full 12-member data engineering pod assembled in 3 weeks
- 40% cost savings versus building the team through direct hiring
- Team shipped the first data pipeline within 2 weeks of joining
- IPO filing timeline maintained — no delays from data infrastructure
- All 12 engineers retained through IPO and beyond (18+ months)