Gabriela Rangel
@gabrielarangel
I build reliable AWS data platforms and TB-scale pipelines that power analytics teams.
United KingdomWhat I'm looking for
At Fidelity International, I build and operate AWS data pipelines processing TB-scale datasets for 10+ downstream analytics teams. I’ve improved Snowflake ETL/ELT runtime by around 30%, automated Terraform provisioning to cut setup time by around 40%, and strengthened monitoring to reduce data incidents.
I also teach SQL and Python with Code First Girls, mentoring new developers through real-world analytics projects. My work spans data modeling, warehousing, batch and near-real-time processing, operational tooling, and reliable shared analytics infrastructure.
Experience
Work history, roles, and key accomplishments
Built and operated scalable AWS data pipelines processing TB-scale datasets, supporting analytics for 10+ downstream teams. Optimized ETL/ELT workflows in Snowflake, reducing pipeline runtime by ~30% and improving query performance.
Education
Degrees, certifications, and relevant coursework
CFGdegree
Master of Science, Software Engineering
Grade: Distinction (93%)
Completed a degree programme in Software Engineering with a Master's, achieving a distinction of 93%.
University Unisassau
Bachelor of Engineering, Engineering
Bachelor of Engineering with a minor in Mathematics, completed in 2020.
Tech stack
Software and tools used professionally
Availability
Location
United KingdomAuthorized to work in
Job categories
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