I'm a Cloud Data Engineer and Software Engineering graduate from Fırat University.
I focus on designing and building scalable, observable and cost-efficient data platforms. My work spans the full data lifecycle — from ingestion and transformation to orchestration, analytics and AI-ready data layers.
- ☁️ Cloud: Google Cloud Platform, AWS
- 🏗️ Data Platforms: BigQuery, Dataform, Dataflow, Cloud Composer
- 🔄 Pipelines: Batch, streaming, ETL/ELT and CDC-oriented architectures
- 📊 Analytics: Data warehouses, medallion architecture, semantic layers
- 🤖 AI + Data: Gemini Enterprise, data agents and AI-ready analytics
- ⚙️ Engineering: Python, SQL, Spark, Kafka, Airflow, Docker, Kubernetes
- ✍️ Writing: Data Engineering, SQL, cloud architecture and engineering practices
I enjoy simplifying complex data problems into reliable systems that are easier to operate, scale and understand.
|
Modern analytics platforms with clear layers, reusable transformations and scalable cloud-native services. |
Reliable batch and streaming pipelines with orchestration, validation, monitoring and recovery patterns. |
|
Reducing unnecessary data processing, improving query performance and designing cost-aware workloads. |
Preparing governed and well-structured enterprise data for Gemini, data agents and generative AI use cases. |
Cloud Data Engineering
├── BigQuery & Dataform
├── Dataflow & Cloud Composer
├── Medallion Architecture
├── Batch & Streaming Pipelines
├── Cost / Performance Optimization
├── Data Quality & Observability
└── Gemini Enterprise & Data Agents
I’m also preparing for the Google Cloud Professional Data Engineer certification.
- Understanding Airflow Task Groups: A Comprehensive Guide
- Using SQL in Airflow DAGs
- Veri Neden Önemli? Veri Mühendisi ve Veri Bilimcisi Ne İş Yapar?
- Mastering Git Cherry-Pick: Selectively Applying Commits Across Branches
- My Journey to Data Engineering Certification: What I Learned and What You Can Expect to Learn
LinkedIn • Medium • Kaggle • HackerRank • X / Twitter