Open to opportunities

Tyler Anatole

@tyleranatole

Message

Data engineer and analytics professional building reliable ELT pipelines and data products.

United States

Message

What I'm looking for

I seek roles building reliable, well-documented ELT pipelines and analytics-ready schemas, with opportunities to mentor others and prioritize data quality, reproducibility, and fairness.

I am a data engineer and analytics practitioner with experience building Dockerized ELT pipelines, modeling analytics-ready schemas with dbt, and validating AI-generated outputs to ensure data quality and traceability. I have led workshops in SQL, Excel, and Tableau to mentor early-career analysts and promote data literacy.

My projects include production-style pipelines ingesting API and web search data into Postgres/MySQL, a content-based recommender using essay embeddings for 50K+ profiles, and dashboards for monitoring cleaned, aggregated datasets. I prioritize reproducibility, clear documentation, and fairness-aware evaluation in data products.

Experience

Work history, roles, and key accomplishments

Current

Data Assistant

Current

10a Labs

Aug 2025 - Present (5 months)

Evaluate and validate AI-generated outputs to ensure data reliability and quality across large datasets, refine evaluation workflows to improve consistency, and collaborate with researchers to enhance dataset transparency and traceability.

Data Validation Data Quality Python SQL Documentation Workflow Design Collaboration

Current

Data Analytics Captain

Current

COOP Careers

Aug 2025 - Present (5 months)

Led SQL, Excel, and Tableau workshops mentoring early-career analysts in data cleaning, querying, and visualization, and coached peers on dashboard design to communicate insights to non-technical audiences.

SQL Tableau Excel Data Cleaning Data Storytelling Mentoring Dashboard Design Training

Education

Degrees, certifications, and relevant coursework

City College of New York

Master of Science, Data Science and Engineering

Master of Science in Data Science and Engineering expected December 2025 with coursework and projects in data engineering, analytics, and machine learning.