Rares Mos
@raresmos
I build automation, ETL pipelines, and dashboards that cut operational effort.
What I'm looking for
At Amazon, I lead end-to-end automation, ETL pipelines, and data analytics across Europe. My work achieved a 95% automation rate in key processes, reducing analyst effort from 120+ hours per week to under two hours and contributing approximately €1.1M in cost savings.
I built DataView with Django, Next.js, and AWS, including Ask AI, a natural-language querying tool that automates MEP compliance across nine EU countries. This reduced manual processing from 15–20 hours per week to near zero.
Previously at Stripe/Teleperformance, I used SQL, Python, Excel, and Power BI to analyze agent performance, track KPIs, build dashboards, and improve operational efficiency. I also investigated fraudulent transactions and high-risk accounts, applying risk logic to reduce false positives and improve detection accuracy.
I enjoy turning operational problems into practical automation, reporting, and data solutions.
Experience
Work history, roles, and key accomplishments
Led end-to-end automation, ETL pipelines, and data analytics across Europe, driving a 95% automation rate in key operational processes, cutting analyst manual effort from 120+ to under 2 hours per week, and contributing to €1.1M in cost savings. Built DataView, a full-stack platform with AI-powered natural language querying, automating compliance across 9 EU countries.
Education
Degrees, certifications, and relevant coursework
University Dimitrie Cantemir
Bachelor of Science, Informatics and Computers
2014 - 2017
Pursued a degree in Informatics and Computers, focusing on computer science and information technology.
Availability
Location
Authorized to work in
Portfolio
github.com/lensordrJob categories
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