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Dataforest

Khrystyna Vysotska logo

Khrystyna Vysotska

Available now

Data Engineer @ Dataforest

Junior
Seniority
GMT+03:00, Lviv, Ukraine
Location & Timezone
$65 - $160/hr
Average Hourly Rate
Ukrainian, English
Languages

Top skills

Python
Apache Spark
Kubernetes
Docker
Linux

About

Data Engineer with 1+ years of work experience. Designed ETL pipelines using Microsoft Azure services, reduced complexity of program logic, analyzed and stabilized microservices orchestrated by Kubernetes, revealed and resolved severe bugs. Mentored newcomers, conducted project onboarding and initiated knowledge-share sessions. Co-founder and cloud architect in a startup that aims to create a system for electric motors predictive maintenance.

Top skills

Verified by Pangea.ai due diligence

Top SkillsCurrent UsageSeniority
Python
20%4 years
Apache Spark
20%4 years
Kubernetes
20%4 years
Docker
20%4 years
Linux
20%4 years

All skills

Roles and tools, to bring ideas to life and create meaningful experiences

Architecture

Professional experience

Explore a curated selection of projects highlighting Khrystyna Vysotska's expertise and experience. Each project aims to showcase challenges, solutions, and the final outcome, along with the tools and technologies used.

Under MNDA
E-commerce scraping — Scrapper and web developer
The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.
Python
Amazon API Gateway
Amazon AppSync
RetailTech
Backend Development
+11

Preferred tools

View the preferred tools and apps used by Khrystyna Vysotska to assess compatibility and alignment.

Jira
Jira
Confluence
Confluence
Git
Git
Google Meet
Google Meet
Slack
Slack
Zoom
Zoom

Career highlights

Discover Khrystyna Vysotska’s professional journey, including employment history, certifications, and educational background.

Junior Data Engineer
ELEKS⸺2022 - Present
Set up Azure SQL (with CDC), Azure Data Lake Gen2, Azure Blob Storage as data sources. Created an ETL pipeline in ADF that loads data incrementally. Used Jupyter notebooks and Apache Spark to transform data. Integrated Jupyter notebooks into the pipeline. Implemented SPC for quality checks and performance. Designed DWH schema using the Kimball's dimensional modelling. Used Key Vault to provide secure storage for sensitive authentication data. Mentored newcomers.
Trainee Data Engineer
ELEKS⸺2021 - 2022
Collaborated with a 6-person engineering team to stabilize and improve performance of ELEKS Data Science Platform. Provided 100% unit test and integration test coverage for 47% of the backend services. Fixed complex bugs related to LDAP search, Jupyter notebooks spanning, and Kubernetes. Prepared architectural solutions for improving the communication between microservices. Optimized program logic: reduced the complexity from quadratic to linear one.

Testimonials

Anonymous

Dataforest

Verified Testimonial

“Productive specialist with an open-minded mindset, leading teams and creating architectural solutions.“

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