Life Line Screening

Data engineering at a company that screens and helps prevent around 700,000 people yearly from diseases such as stroke and heart disease

Sr Data Engineer

OmniData

Designed and built data platforms/pipelines for healthcare and other mission-critical sectors; optimized performance and integrated APIs with Spark, Python, and SQL; mentored teammates and authored comprehensive docs

OmniData was acquired by Fresche Solutions in 2025. OmniData Insights is a leading Microsoft-focused partner specializing in Analytics, AI, and Cloud Modernization.

Senior Data Engineer

Playtika

- Led a team of 3 data engineers, driving technical planning and architecture discussion, which resulted in the successful delivery of 27 marketing data pipelines in a dynamic, fast-paced environment.
- Architected highly scalable data pipelines to process real-time and batch petabyte-scale datasets for 10+ event types used by executives to support business decisions and fuel the main dashboard with key business metrics such as DAU, Installs, Payments.
- Influenced product and cross-functional (engineering, marketing, strategy) teams to identify data opportunities and gaps, which led to exceeding the SLA in data quality by increasing data accuracy to 99.99%.
- Improved and maintained Tableau reporting for C-level executives across the organization.

APPREAL contracted me. Playtika is one of the world's pioneers in mobile gaming, with a central office in Israel and 4,000 people.

Senior BI/DWH Engineer

Gamesys

- Collaborated with the Product Owner and contributed approximately 20 new features, including new metrics for the marketing data-driven applications, utilizing DB2, Docker, SQL, and Python.

Senior SQL Engineer

DB Best Technologies

- Developed cost-effective data pipelines in Databricks / Azure for a world-recognized marketing agency to calculate marketing metrics for users, such as CTRs, conversion rates, and visits, by aggregating data from different marketing tools.
- Architected and implemented from scratch logging, monitoring, and alerting flows for Data Pipelines to triage issues and resolve them in Azure, using Databricks, Azure Monitor, and Log Analytics.
- Owned the end-to-end technical implementation of CICD processes from beginning to production in Azure Data Platform, which led to reducing the nightly incidents from 8 per month to 1 per month.

In 2021, DB Best was split, and Amazon acquired one part of it. The second part moved to ABCloudZ.

Database Developer

LLC "Alef Elektro-Komplekt"

- Led a team of 7 people, coordinating their duties.
- Developed and scaled the marketing part of the business, including website, SEO/organic traffic, and Google Ads, which led to 20 daily leads for the retail store.

Project Manager

UBC Corporation

- Led a project for a TOP-8 bank in Ukraine
- Held critical roles as a Senior Consultant, delivering four major successful projects in the Banking, Automotive, and Logistics industries by building reports, dashboards, and operational warehouses using SQL Server, IBM Cognos BI/TM1, and Oracle.

UBC Corp is one of the leading companies in the Ukrainian and Kazakh markets in business consulting.

Senior BI Consultant

My public work is here: https://linktr.ee/4iurchenko

I am a data engineer who thoroughly enjoys my work. My primary goal is to fuel business decisions with high-quality data by building Data Platforms and Pipelines. I am fluent in Spark, SQL, and Python, which enables me to effectively focus on business problems. My target role is Data Engineering in a proactive company that requires robust data with potential for AI applications. I am very familiar with Healthcare, Microsoft Azure (and particularly Fabric), and Marketing.

📌 My EMAIL 📩: 4iurchenko@gmail.com
Please DM me when you think I can assist you as a Sr. Data Engineer in solving your data challenges efficiently. 🤝 

How can I make a difference for your company?

1️⃣ Business first. My primary focus is on how my delivery is suitable for stakeholders. Is it convenient for BA / Product? Is it accurate? Is it future-ready? What are the project's priorities and constraints? I tend to ask 1-3 critical questions before implementation. If needed, I will add a pros and cons/tradeoffs story to prevent misunderstanding. Then, I am fully committed to the results we decided on.

2️⃣ Architecting & Delivering. I have a solid grasp of fundamentals, data concepts, and diagramming. Additionally, I am fluent in SQL and Python coding. So, I can flexibly switch between coding-focused tasks and higher-level system design challenges. For example, in the morning, I plan to present the architecture diagram for the PoC in LucidChart for the new AI-driven pipeline. After lunch, I will refine the PySpark pipeline to process a dataset of over 1 billion records. Before the evening, I may investigate the production incident and document findings.

3️⃣ Drive to move things further and help others, if they need it. After you talk with me, you will feel the energy. 

THE PROJECTS AND ACTIVITIES I AM PROUD OF
➩ Healthcare Analytics on Azure.
➩ Gaming data warehouse - petabytes of data + incredibly insightful driving data platform with business metrics.
➩ SQL Saturday speaker - 2x selected at a SQL Saturday in San Diego about SQL & Azure Fabric

I am a 2x half-marathoner 🏃. Daily runs are a regular part of my routine, too, as I believe motion is the foundation of a high-quality life.

EXPERTISE
Spark & Databricks · Python · SQL · Microsoft Azure & Fabric · CICD · Data Analysis · Data Modeling · Data Pipelines · Mentoring · Data Quality · Documentation · HL7 / FHIR / OMOP · Metrics Development · Problem-solving · Reporting in Tableau / PowerBI · Unix.

DOMAINS (including)
Marketing · Healthcare · Finance · Logistics

Iurii (Yurri) Iurchenko, FACHDM

Mainstay

Staff Data Engineer

Opendoor

- Setting up and managing data foundations for the core products at Rent team
- Architecting DWH for effective data ingestion, processing, and delivering
- Optimization of existing data infra and migration to the most suitable stack for data products from the efficiency and cost perspectives
- Setting up ML platform on Databricks and automating the full ML model lifecycle
- Enabling Data-Driven decisions for the product roadmap and product analytics

DoorDash

Databand.ai

- Setting up infrastructure and data pipelines for Product Analytics project within Google cloud stack (Cloud composer, Cloud Storage, BigQuery, Superset, Amplitude, Postgres)
- Managing Databand Demo airflow environment 
- Setting up data pipelines for Demo environment (Airflow, python, snowflake, redshift, s3, gcs)

OpenWeb

Working on design and implementation of LakeHouse, high-performance data architectures, optimisation of existing data delivery processes from speed, availability and cost perspective, enhancing existing data infrastructure and enabling easy data-driven decision making processes with the awesome Data Engineering Team.

HRS Group

Lead, support and drive DE team while implementing scalable and well optimised Data Lake infrastructure and complex data delivery processes.

Principal Data Engineer

thredUP

Deeply involved into company data processes to make possible data-driven decision making at company wide level and make data easy to access and analyse for everyone.
Developed end-to-end data delivery for various business areas including data science, marketing, warehouses, backend , growth and other teams. 
Lead data team at Ukraine office and was super excited to grow it and support.

Lead BI/Data Engineer

Expedia Group

(EPAM outsource project)
Lead the team and develop Big Data pipelines for processing of clickstream data on Hadoop, Spark and Teradata.

Senior Software Engineer

National Aviation University (NAU)

Postgraduate Student

- practical and laboratory classes with students on courses of Information Systems and Technology (on the base of RDBMS  MS Access  2003, 2007), Control-measuring Instrumentation, Engineering and Computer Graphics (CAD-based Compass), Signal Processing 

- scientific researches, publication of papers and participation in the different scientific conferences 

- making up of the research journal "Journal of Engineering Academy of Ukraine"

taplio

The Battle

Iurii (Yurri) Iurchenko, FACHDM

Kateryna Babich

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