Hi, I'm Igor Elipechuk 👋

Data Engineer | AWS | Databricks | PySpark | Kafka | Airflow

Data professional with 13+ years of experience in technology and process optimization, currently focused on Data Engineering, Lakehouse architectures, Streaming Data Pipelines and AI-powered analytics solutions.

I enjoy building scalable cloud-native data platforms using AWS, Databricks, Apache Spark, Kafka and modern Data Engineering practices.

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Tech Stack

Data Engineering

• Apache Spark
• PySpark
• Delta Lake
• Databricks
• Apache Kafka
• Apache Airflow
• SQL
• Data Modeling

Cloud

• AWS S3
• AWS EC2
• AWS IAM
• AWS Glue

Programming

• Python
• SQL
• JavaScript
• TypeScript

Analytics & AI

• MLflow
• Machine Learning
• Data Quality
• Generative AI

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Featured Projects

ATM Predictive Maintenance Platform

Real-time streaming data platform simulating predictive maintenance for ATM networks.

Technologies

• Apache Kafka
• Apache Airflow
• AWS S3
• Databricks
• Delta Lake
• PySpark

🔗 Repository:

https://github.com/ElipechukIgor/atm-predictive-maintenance-platform

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Smart Claims Image Pipeline

End-to-end Lakehouse architecture for insurance claim image processing and AI-powered classification.

Technologies

• AWS S3
• Databricks Auto Loader
• Delta Lake
• MLflow
• Databricks Workflows
• Computer Vision

🔗 Repository:

https://github.com/ElipechukIgor/smart-claims-image-pipeline

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Currently Learning

• Advanced Databricks
• Spark Optimization
• Data Quality Engineering
• MLOps
• Streaming Architectures
• Generative AI

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Connect With Me

LinkedIn

www.linkedin.com/in/igor-elipechuk

GitHub

https://github.com/ElipechukIgor

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⭐ Always learning, building and sharing Data Engineering projects.