Veronica Estrada

S

Engineering Manager at Ripple Logistics | ex-Spotify

Ripple Logistics
New York, NY · ET (UTC-5)
6+ years experience
Princeton University
English
Messaging unavailable

Overview

I lead data pipelines at Ripple Logistics in New York. Moved 70% of data platform traffic off a legacy monolith without a customer-facing incident. Most at home with observability and Kafka.

Good reasons to reach out
  • Advice on data pipelines
  • Working sessions on Iceberg
Please don't message about
  • Requests to fix your code for free
  • Courses and coaching offers
  • Generic networking requests

Travels often; replies within 48 hours

Skills
KafkaIcebergSnowflakeobservabilityPythonSpark
AdvisingOpen to advising
closes in 3 months

Happy to advise students choosing a first job on data pipelines

Topics
data pipelines, Python, Snowflake
Format
Office hours
Terms
Paid
Capacity
One advisory role at a time
Best for
Seed to Series A teams

6 years of data pipelines. One call a month or async reviews.

New York, NYpythonicebergspark

Experience

  1. Engineering Manager
    Jun 2025 - Present
    Ripple Logistics · 1 yr 4 mo · Full-time · New York, NY
    • Cut p99 latency on the data platform services from 666ms to 92ms.
    • Led the migration of 77 services to Python.
    • Wrote the Iceberg service that now handles 2 million requests a day.
  2. Data Engineer
    Feb 2022 - Jun 2025
    Spotify · 3 yr 4 mo · Full-time · New York, NY
    • Wrote the metric definitions the leadership team reviews every week.
    • Reduced stock-outs by 15% in the first season.
  3. Data Engineer
    Sep 2020 - Jan 2022
    Microsoft · 1 yr 4 mo · Full-time · New York, NY
    • Taught SQL to 73 non-analysts.
    • Wrote the metric definitions the leadership team reviews every week.

References

No references yet.

Education

  1. Princeton University
    AB, Computer Engineering
    2015 - 2019

Details

Compensation expectations
What they are targeting for their next role.
Visible to connections
Direct contact details
Direct email and a scheduling link.
Visible to connections