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

As of a Senior Data Engineer / Tech lead, my primary goal is to fuel business decisions with high-quality data by building Data Platforms and Pipelines in Azure Ecosystem, including Microsoft Fabric. I am fluent in Spark, SQL, and Python, which enables me to effectively focus on business problems. I have a deep expertise in Healthcare and Marketing business domains.

📌 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)
Healthcare · Marketing

Iurii Iurchenko

𝐕𝐨𝐭𝐢𝐧𝐠 𝐃𝐞𝐭𝐚𝐢𝐥𝐬 are 𝐇𝐞𝐫𝐞 👇
Excited to be named a finalist for the OnCon 2026 TOP 100 Data & Analytics Professional Award! 🌟 Now, it is time to win, and I need your support. 

👉 Please Vote Here (it takes 30 sec): https://lnkd.in/gvT6FXch 
1️⃣ Enter Your Basic Info 
2️⃣ Scroll to the "i" section of names (𝐦𝐲 𝐧𝐚𝐦𝐞 𝐬𝐭𝐚𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 "𝐢" 𝐰𝐢𝐭𝐡 𝐝𝐨𝐭)
3️⃣ Find "Iurii Iurchenko | Senior Data Engineer | Life Line Screening" 
4️⃣ Select ✅ on the left and click the submit button
5️⃣ Like 👍 (or even share) that post

Some projects I was involved in during late 2025–2026, in addition to the amazing work at the preventive health screening company I work for now:
- OHDSI Collaborator, AI & Healthcare area
- ADPList & MilMentor - 46 mentoring sessions in 2025-2026
- Speaking & Contributing to the Community (SQL Saturday, FabCon, and others)
- Co-building the Fabric Data Community in Salt Lake City and Online

Thanks to OnConferences and Victoria Winterling for the trust.

#Finalist #Impact #Innovation #Grateful #OnConIconAwards #OnConferences

Iurii (Yurri) Iurchenko, FACHDM

Fabcon 2026 is coming! The best place to learn and grow together and feel the power of Microsoft Community 🌍🚀! 

If you’re still on the fence about attending, consider this your nudge ✅ FabCon is about fresh energy ⚡, a clearer end-to-end view of the Fabric landscape (technical + business), and meaningful new connections 🤝

I will be one of the speakers. In my session, I’ll focus on practical ways to get more from your Fabric investment: cost optimization 💸, capacity management and workload tuning ⚙️, so your platform stays fast, reliable, and predictable as usage grows 📈

If you have questions about Microsoft Fabric - capacity, cost, performance, governance, engineering - drop them in the comments 💬 or DM me 📩

Thanks, FABCON & SQLCON - The Microsoft Fabric & SQL Community Conferences, for selecting my topic.

Special kudos to Anton Boyko and Ginger Grant for bringing me to this journey 🌱

#FABCONSQLCON26 #Fabric #Data

After two years of hands-on Microsoft Fabric work - solving real business problems since day one - I’m now switching gears and studying Fabric more fundamentally and conceptually 📘

Big thanks to Ben Weissman and other authors for a great book 🙌

#MicrosoftFabric #DataEngineering #Learning

Nathan Giullian and I are kicking off the local Microsoft Fabric Community to create a welcoming, growing space for people in Utah—and online worldwide—to learn from each other in data engineering and Microsoft Fabric.

When:  ⏰ February 26, 2026, 7-8 MST (6-7 PST, 9-10 EST)
Where:📍 Online. 
Register here: 👉 https://lnkd.in/e26kpg6n

Agenda:
Presentation 1: "AI capabilities in Fabric."
Speaker: Nathan Giullian, Engagement Manager, SLC Fabric Community Co-organizer, FABCON-2026 speaker

Presentation 2: "Fabric for Beginners. Start. Build. Showcase."
Speaker: Iurii (Yurri) Iurchenko, FACHDM, Sr Data Engineer, SLC Fabric Community Co-organizer, FABCON-2026 speaker

Then, an afterparty, networking, discussing future activities and goals.

#data #community #fabric

Great people look for a job! If you hire, don't lose your chance.
#dba #databases #hiring

Hi everyone! I’m seeking a new role and would appreciate your support. If you hear of any opportunities or just want to catch up, please send me a message or comment below. I’d love to reconnect. #OpenToWork

Here is what I was able to accomplish in 4 years working for Oasis and Repario:
1. Managed an entire #SQLServer #infrastructure footprint (70+ servers in US/UK private cloud, and 10 in #AWS public cloud, including #FedRAMP environment) with 9K+ #databases and over 5PB of disk space.
2. Released 40TB of disk space storage by identifying unneeded database files and #backups
3. Saved $18K/month on #virtualization costs by identifying underutilized servers that could be #consolidated or retired
4. Automated #DBA operations to manage 9K databases, avoiding 2-3 additional DBA hires (~$30K/month)
5. Stabilized the existing environment to reduce the number of P1 and P2 incidents by 80%
6. Reduced time-to-provision access from hours to minutes by automating and standardizing permission grants

Amazon

•	Evaluate and validate LLM outputs using tools like SageMaker, ensuring accuracy, relevance, and compliance, improved Foundation models (Nova, Titan) reliability by 4.86%.
•	Lead Global projects with 30+ Data Annotators as a Project Owner, collaborating with data annotation and ML engineers to define guidelines and deliver high-quality labeled datasets, enhancing training data accuracy by 4.9%.
•	Identify and resolve anomalies and edge cases in LLM outputs, improving model robustness for real-world applications, improved safety for Amazon Kid+ Art Studio.
•	Conducting testing and ensuring compliance with content and ethical guidelines to maintain the accuracy and appropriateness of generated responses for LLM training.
•	Analyze and interpret ambiguous data to meet performance goals in agile projects, while providing product feedback to drive long-term growth and success.

ML DA II | AGI Team

UKE Analytics

• Reduced costs by 30% through the development and implementation of a process improvement initiative that enhanced operational compliance and aligned with industry standards.
• Leveraged Python, Excel, and Generative AI (GenAI) to perform in-depth data analysis, identify trends, and streamline operations, contributing to strategic decision-making.
• Collaborated with cross-functional teams to refine operational practices, ensuring alignment with corporate objectives and achieving an additional 20% reduction in operational costs.
• Designed and delivered impactful dashboards and data visualizations using Tableau to highlight key performance metrics, enabling data-driven decisions.

Analyst, Data & Operations, Tableau, SQL, Excel, Python

Feeney Brothers Utility Services

•	Reviewed, audited, fixed, and created reports on data issues and quality with Excel, Microsoft Office, and ERP system.
•	Made quantitative analysis with Python, MS Office, and GenAI to support operational decisions and system optimizations.
•	Upgraded ERP system performance by 15% through effective deep dive data analysis and qualitative analysis.
•	Designed and developed tools that automate manual operations and connected application features to improve user efficiency by 20% with API, Python, and Microsoft Suite.
•	Escalated bugs and provided 400 users with support and maintenance ERP system through effective and communication.

Data Analyst

Frontier Cooperative

•	Developed and implemented data integrity practices, reducing operational and safety expenses by 20% through strategic data analysis.
•	Advised a comprehensive understanding of operations processing from initiation to completion, ensuring high levels of data integrity and compliance.
•	Developed and maintained relationships with key stakeholders, resulting in a 15% increase in collaboration and improved project success rates.

Operations Analyst

Run Ukraine

•	Employed Python and GenAI for data analysis, contributing to strategic decisions that increased profits by 15%.
 •	Designed and executed project plans and milestones for 50k participant events by providing deep research and data analysis, leading to elevated attendee experiences alongside an uplift in revenues.
 •	Leveraged multiple data sources to analyze business performance by brand, products, services, and policies.  
 •	Implemented improvements and provided optimization of the data system that reduced the cost of analysis by 25 % with Google Suite and Microsoft Office tools.

Operations Data Analyst

Data Analyst with over 5 years of experience specializing in data operations, analysis, and process optimization. Currently, I’m an ML DA II at Amazon, where I collaborate with data annotation teams to ensure the accuracy and relevance of labeled data for LLM training. My work focuses on validating and refining LLM outputs to maintain high standards of content quality and compliance. Improved Foundation models (Nova, Titan) reliability by 4.86% and safety for Amazon Kid+ Art Studio.


In previous roles, I’ve enhanced data accuracy by 15% and boosted problem resolution efficiency by 30% through system optimizations. My technical expertise includes Python, GenAI, Tableau, SQL, and Excel, which I’ve used to automate processes, improve operational efficiency, and drive strategic decision-making.

I’m committed to continuous learning. Outside of work, I’m passionate about hiking, running, and volunteering.

Technical Skills
Python (Pandas, NumPy, Matplotlib), AWS (Sagemaker, S3, QuickSight, Bedrock, Polly etc), SQL, Excel, Word, GenAI, SQL, GitHub, ERP, Jira, Slack, Confluence, Outlook, BI, Google Suite.




Feel free to reach me out for discussion in more about my skills and how I can help your company, please send me a LinkedIn message or email me at: lytv.dm@gmail.com

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