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Scouting report
New data engineer with a clean ETL pipeline calling card
assessed from open-source footprint
Junior
42signal
A young account (under a year) with five repositories pointed squarely at data engineering in Python and Jupyter, led by a multi-currency ETL pipeline that pulls the top banks by market cap — a focused, recognizable first project rather than scattered experiments. No stars, one follower, and no verified external contributions yet, all consistent with how recently he started. Consistency is high. Honestly read, this is an early-stage data/ML aspirant with a sensible specialty and one credible build; the trajectory is worth watching as more pipelines land.
Authorship & open source
Solo authorwrote 100% of commits on etl-largest-banks-pipeline
0 merged PRs11 commits / yr
What they build
Data / ML67%
Backend33%
Signal breakdown
Originality78
Impact4
Consistency91
Polish8
Stars
0
Original repos
5
0% forks
Followers
1
On GitHub
0.8 yr
Live demos
0
Activity
Active
0% stale
Strengths
- Verified author — wrote 100% of commits on etl-largest-banks-pipeline
- Original builder — 5 of their own repositories
- Consistently active, low abandonment
- Data / ML focus with Backend
- Core stack: Python, Jupyter
About
Data / ML Engineer from Dominican Republic, active on GitHub with 5 public repositories and 1 followers. Explore the work and reach out on GitHub.
Skills
- Python
- Jupyter