Representative profile

Data Engineer

R. S. · 7+ years · UTC-3 (BRT)

Availability
Available now
Rate band
$$ · $70 to $95 / hr
Experience
7+ years
Industries
AdTech, Retail
  • Python
  • Spark
  • Airflow
  • Snowflake
  • Builds Airflow pipelines that fail loudly, retry sensibly, and backfill cleanly
  • Has handled AdTech-scale event volumes where pipeline cost and latency both matter
  • Models warehouse data so analysts can self-serve instead of filing requests

This profile represents the data-engineering shape most companies need once dashboards start disagreeing with each other: someone who makes the pipelines reliable and the warehouse trustworthy.

Background

Seven years building data infrastructure, first in AdTech where event volumes are unforgiving, then in retail where the questions are commercial: inventory, margin, and demand. Writes pipelines in Python, uses Spark when the data is genuinely big and skips it when it is not, orchestrates everything with Airflow, and lands it in Snowflake modeled for the people who will query it.

Strengths

  • Reliable orchestration. Airflow DAGs with clear ownership, alerting, and backfills that do not corrupt history.
  • Right-sized processing. Chooses between Spark and simpler tools based on the data, not the resume value.
  • Warehouse modeling. Layers raw, cleaned, and business-ready data so analysts trust what they query.
  • Cost awareness. Watches Snowflake and compute spend and tunes pipelines before the bill becomes a problem.

Typical engagement

Often starts by untangling an existing pipeline estate or standing up the first proper warehouse, then continues as the team’s data platform owner. Brazil hours, which line up almost fully with the US working day. Available now.

This is a representative sample of the vetted pool. Request it and we confirm real, current availability for a developer with this background.

Frequently asked questions

Is this a real, specific person I can hire?

This is a representative profile of the kind of developer in the vetted pool, not a public listing of one named individual. When you request it, we confirm who is actually available with a matching background and share real details under NDA.

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