Dmitry Zamyatin

Senior Data Architect

AWS Data Engineering Munich

Building scalable data platforms for enterprise

About

Data architect with 12+ years of experience building scalable data platforms. I specialize in AWS cloud infrastructure and ETL pipeline design, helping enterprise clients transform raw data into actionable insights.

Munich-based, open to full-time roles and consulting engagements. Available for on-site collaboration and business travel across Europe.

Outside of work, I navigate both data flows and open waters.

Expertise

Cloud

AWS Redshift Glue Athena S3 EMR Lambda

Data Engineering

Airflow dbt Spark Kafka

Data Modeling

Dimensional Modeling Data Vault

Languages

Python SQL

Selected Projects

E-commerce

Real-time Analytics Platform

Challenge: Legacy batch processing couldn't support real-time inventory and pricing decisions.

Solution: Designed streaming architecture with Kafka, Spark Streaming, and Redshift for sub-minute analytics.

Impact: Reduced data latency from 24 hours to under 60 seconds.

FinTech

Data Lake Modernization

Challenge: Siloed data across 15+ systems prevented unified customer view.

Solution: Built centralized data lake on S3 with Glue ETL and Athena for ad-hoc queries.

Impact: Enabled cross-product analytics, supporting 40% increase in cross-sell revenue.

Logistics

Predictive Maintenance Pipeline

Challenge: Unplanned vehicle downtime costing millions annually.

Solution: Implemented IoT data pipeline with feature engineering for ML-based failure prediction.

Impact: Reduced unplanned downtime by 35% in first year.

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