Metin K.

⭐⭐⭐⭐⭐ "Will approach Metin for more work. The results are very good and was pleasure working with Metin. His communication is very good and was easy to grasp the requirements in a short time." I'm Metin — a Data Engineering Team Lead with 8+ years of experience designing and delivering cloud-native data platforms on AWS, GCP, and Azure. I lead a team of data engineers by day and build data tooling in my spare time, including mkpipe, an open-source PySpark ETL framework published on PyPI. WHAT I DO • Data platforms & warehouses — BigQuery, Redshift, ClickHouse, Snowflake, Databricks, Synapse • ELT/ETL pipelines — dbt, Airflow, Dagster, Airbyte, custom PySpark • Streaming — Kafka, Flink, Spark Structured Streaming • Infrastructure as code — Terraform/Terragrunt, Docker, Helm, Kubernetes (including building a production cluster from scratch on AWS with Ansible) • Analytics & BI — Power BI (incl. embedded reports with row-level security via FastAPI), Looker, Tableau • Applied ML in production — anomaly detection, churn scoring, NLP services • AI agents — built a 24/7 autonomous agent that executes a data team's workflows (analysis, dbt/ETL development, incident diagnosis, deploys) with git-versioned memory and approval gates RESULTS I'VE DELIVERED • Cut monthly cloud costs from EUR 10,000 to EUR 700 by re-architecting workloads with dbt + Dagster • Built a single source of truth with dbt, reducing pipeline troubleshooting time by 80% • Automated 90% of recurring reports, freeing analyst time for higher-value work • Increased planning realisation rate from 40% to 85% with optimisation algorithms • Ran 30+ Kubernetes services including 11 production AI microservices I'm equally comfortable owning your data stack end-to-end — architecture, IaC, pipelines, dashboards, documentation — or plugging into an existing team. Let's talk about your data challenges — I usually reply within a few hours.