Profileimage by stefan hagiu Full-Stack Engineer, Full-Stack Engineer from Suceava

stefan hagiu

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Last update: 06.09.2022

Full-Stack Engineer, Full-Stack Engineer

Company: Amazon
Graduation: not provided
Hourly-/Daily rates: show
Languages: English (Limited professional)

Attachments

stefan-bogdan-hagiu-resume-v03_220607_120944.pdf

Skills

JavaScript, Angular, React, Node.js, AWS, Python, Java, Ruby, Data Analytics, Pandas, Front-End, imdb, API, metadata, Data processing, analytics, AngularJS, rendering, NodeJS, Postgresql, PostGIS, Leaëet

Project history

08/2015 - 06/2022
Full-Stack Engineer
Yonder - Kadaster en CiVision Samenlevingszak

Yonder - Kadaster en CiVision Samenlevingszak

The client, pinkroccade local government provides management software to duch
city-halls, wanted to replace an older software that was used to display cadastral
information combined with a persons information.

Managed to reduce the time of querying and rendering geometric
shapes on the map from double digit to single digit seconds allowing to
have mutliple views (e.g. map with multiple layers, household information)
at the same time.

02/2019 - 05/2022
Front-End Engineer
Amazon.com

Amazon.com - Client side metrics

The client, page owners of Amazon websites (retail, prime video, audible, imdb,
twitch etc.) needed a way to measure the latency impact of their changes, track
the user behaviour when interacting with the page and be able to create
monitors and alarms to guard for regressions in user experience.

Reduce interation failures rate by half from above 3% to 1.5% which
reduces customer fustration and helps in preventing the loss of trust and
money; last known incident was estimated at >$1b loss. Achived this by
providing an API to track interaction failures where the page will not
responde to a client action.

Increased the mobile platform data coverage for latency and
customer behaviour by ~11% which helped teams take better decisions
on featurures that are presented to clients. This was achived by working
with mobile team to identify untracked interactions.

Saved ~$4.5M yearly by reducing the volume of data generated
from above 1172Tb/day to 50Tb/day by working with teams to identify
duplicated and unused metadata and creating an opt in API to generate
data only on client request.

Skills: JavaScript, Java, Python, Ruby, AWS, Data processing & analytics

01/2018 - 02/2019
Full-Stack Engineer
ian; Amazon.com

Amazon.com - project Argus

The client, the compliance organization of the largest online retailer worldwide,
was suéering from having a rollercoster work volume (very high highs and low
lows) and managers had low visibility into tasks status; used to see whiteboards
scribbled with tasks in progress.

Provided 100% transparency on work allocation and assigned tasks
of more than 20k employees, saving est. $5M from cutting idle times and
optimizing resources distribution, by building a highly-intuitive calendarbased
time tracking tool with support for live data reports.

Skills: JavaScript, AngularJS, Java

Local Availability

Only available in these countries: Romania
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