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

Nathan Giullian and I are happy to announce the next community meeting. And, we will have a very special guest that time - Sandeep Pawar with an amazing topic - "Best Practices for Data Agents in Microsoft Fabric".

🕑 When? Apr 16, 2026, 7 PM MST (6 PM PST / 8 PM CST / 9 PM EST)
🏝️ Where? Teams, Online
👇 Registration: link in the comment

We have a very generous bonus from Microsoft 🏆: 5 vouchers for the DP-600 / DP-700 certifications.

Please book your time, join us, and make it a very strategic time investment.

#Fabric #Data #AI

Iurii (Yurri) Iurchenko, FACHDM

I am speaking at FABCON & SQLCON – The Microsoft Fabric & SQL Community Conferences. Please check out my talk if you're attending the event!

⏱️ When? Friday, March 20, 10:10–11:10 AM in C102
☕️ What? Unstoppable Fabric: Capacity Planning, Smart Alerting, & Workload Tuning
🎯 Why? Understanding capacity is crucial for efficient and reliable use of Fabric in an organization. Unfortunately, many struggle with this due to the complexity of the capacity throttling mechanism. That's why my goal is to fill that gap by sharing mitigation strategies.

#Fabric #Fabcon #Data

I can suggest personal consultations from CJ not only for interview preparation, but also for mindset shifting. After his consultations, it is much easier to think with a "business first" approach and feel the business goals, instead of focusing solely on the technical level

Crack FAANG+ Sr., Staff+, EM Behavioural, and System Design HLD interviews | DM me “COACH” | Engineering Manager @ Amazon | Engineering Career Coach | FAANG+ Interview Coach

You have great behavioral stories on paper. 
But you freeze when you open your mouth.

Many Staff Engineers and EMs use AI to write their career stories.

They build perfect documents. 
But they still lack confidence in real interviews.

Your problem is not a lack of stories.
Your problem is a lack of confidence to speak them.

System design interviews are objective. 
You can always fall back on technical concepts.

Behavioral interviews are different. 
They expose your soft skills immediately.

You do not need another book.
You do not need another AI prompt.

How to fix your interview confidence
- Practice speaking your stories out loud.
- Find someone to give you direct feedback.
- Get a partner who will not beat around the bush.

Stop reading your stories. Start speaking them.

If you are preparing for mid-senior/staff SDE, EM behavioural interviews, and need help, DM me COACH.

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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