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Uğur Kaval

AI/ML Engineer & Full Stack Developer building innovative solutions with modern technologies.

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#Data Engineering

6 articles tagged with this topic.

Stop Manually Exporting CSVs: Building a Resilient Reporting Pipeline in 2026
Automation

Stop Manually Exporting CSVs: Building a Resilient Reporting Pipeline in 2026

Manual reporting is a silent productivity killer. Learn how to architect a production-grade, version-controlled reporting pipeline using Dagster, DuckDB, and Quarto that scales from side projects to enterprise reconciliation systems.

June 2, 20266 min read
Beyond Cron: Industrial-Grade Automated Reporting in 2026
Automation

Beyond Cron: Industrial-Grade Automated Reporting in 2026

Stop manually running SQL scripts and exporting CSVs. Learn how to build resilient, stateful reporting pipelines using Dagster, DuckDB, and modern orchestration patterns that actually scale.

May 13, 20266 min read
Beyond the Cron Job: Building Resilient Automated Reporting Pipelines in 2026
Automation

Beyond the Cron Job: Building Resilient Automated Reporting Pipelines in 2026

Stop manually exporting CSVs. Learn how to build a declarative, version-controlled reporting pipeline using Dagster and DuckDB that stakeholders can actually trust.

May 5, 20266 min read
Scalable Automated Report Generation: A 2026 Engineering Guide
Automation

Scalable Automated Report Generation: A 2026 Engineering Guide

Stop manually exporting CSVs. Learn how to build a production-grade automated reporting system using DuckDB, Prefect, and Quarto to deliver insights without human intervention.

April 23, 20266 min read
Automating Your Data Pipelines: A Developer's Guide
Automation

Automating Your Data Pipelines: A Developer's Guide

Learn how to automate your data pipelines to improve efficiency, reduce errors, and accelerate data delivery.

January 25, 20265 min read
Data Engineering Best Practices for ML Projects
Data Science

Data Engineering Best Practices for ML Projects

Build reliable data pipelines for machine learning. Data quality, validation, versioning, and automation.

November 28, 20242 min read