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Dataforest

Vlad Z. logo

Vlad Z.

Available now

DevOps | Cloud | Big Data | AI/ML @ Dataforest

Senior
Seniority
GMT+02:00, Kiev, Ukraine
Location & Timezone
$65 - $70/hr
Average Hourly Rate
English, Ukrainian, Russian
Languages

Top skills

Python
Big Data & Analytics
System Architecture
AI & ML Solutions
FinTech

About

Expert-Vetted Data and Solution Architect | DevOps | Big Data | AI/ML $65.00/hr Top 1% Upwork EXPERT-VETTED Data & Solution Architect. For over 15 years, I've worked with data, focusing the last five years as a Data Architect on managing high-load and big-data projects. I oversee systems that serve hundreds of millions of users and manage petabytes of data, along with overseeing infrastructure budgets over 1.5 million USD each year.

Top skills

Verified by Pangea.ai due diligence

Top SkillsCurrent UsageSeniority
Python
20%7 years
Big Data & Analytics
20%7 years
System Architecture
20%7 years
AI & ML Solutions
20%7 years
FinTech
20%7 years

All skills

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

AI & ML Solutions
E-Commerce
Architecture
Data Analytics and Visualization

Professional experience

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

Under MNDA
AWS Cloud Architecture for Internal Data Platform — AWS Cloud Architect & Data Engineer
Developing an internal AWS-based application using a MySQL database as a SSOT for company, contact, project, and inventory data, synchronizing information with various SaaS tools via API. The system must automatically gather data from SaaS APIs (Mozenda, Current RMS, QuickBooks Desktop, RingCentral, Sprout Social), CSV files in Dropbox, email capture, and website forms. It should clean and deduplicate data (ETL with AWS Glue), enrich records via APIs, and display information in a CRM-style dashboard with BI and analytics. Additional logic includes scoring records, automating workflows such as email campaigns and internal notifications, and sending updated data back to SaaS tools. Initial work involves assessing AWS services and estimating usage fees before planning development and implementation.
MySQL
Python
AWS
Information Technology
Data Engineering
+4

Preferred tools

View the preferred tools and apps used by Vlad Z. to assess compatibility and alignment.

Zoom
Zoom
Slack
Slack
Jira
Jira
Github
Github
Zapier
Zapier
Azure
Azure

Career highlights

Discover Vlad Z.’s professional journey, including employment history, certifications, and educational background.

CTO, Partner
DATAFOREST⸺2018 - pressent
- Head of the data science team - Managing projects for enterprise clients - Data integration and management - Machine Learning and Modeling - DevOps - Process Automation
Head of Corporate Buisness Analysis and Planning department
«SBERBANK» PJSC⸺2015 - 2018
- Responsible for analysis of corporate clients, planning, methodology and models; - Creation of scripts that crawl public information about our clients and make notifications and recommendations client managers; - Reporting automation, including Teradata Integration.
Senior Corporate Risk Specialist
«SBERBANK» PJSC⸺2015 - 2015
- Regional network employees training; - Development of portfolio models, risk reporting and lending methodology; - Responsible for PD and LGD models.
Corporate Risk Specialist
«SBERBANK» PJSC⸺2012 - 2015
Retail Risk Specialist
«SBERBANK» PJSC⸺2011 - 2012
- Participation in the project " Credit Factory " for automation and acceleration of the Retail loan process; - Testing the correctness of the automated systems; - Testing of integration mechanisms; - Reporting automation; - Calculation of the current provisions.

Testimonials

Anonymous

Dataforest

Verified Testimonial

“Professional interaction. Would be glad to work on the future.“

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