data platform engineer
Hi, I'm Amir
I build scalable data and AI platforms. Currently at MOIA (Volkswagen) in Hamburg, with a soft spot for finance and automotive.
01 / THE JOURNEY
As cliché as it sounds, love building things from scratch
Hover to explore. Click or tap a role to keep its details open.
February 2026 - PresentMOIA (Volkswagen)Data Platform Engineer
Hamburg, Germany · Current role
- Led Airflow 2.11 to 3.2.2 migration on Kubernetes with cross-account AWS workflows, monitoring, and team onboarding.
- Set up team's ArgoCD deployments and Kubernetes manifests for migrating managed apps to K8s.
- Implementing OpenMetadata as data catalogue and developed Claude MCP integration for Airflow and OpenMetadata
- Maintained data serving infrastructure including CubeJS, QuickSight, OpenMetadata and REST APIs using models on AWS Bedrock such as Claude.
June 2025 - January 2026New Work SE (Xing)Data Platform Engineer
Hamburg, Germany
- Developed and maintained company's internal data platform using Snowflake, Airflow and Spark.
- Migrated Airflow DAGs from self-hosted servers to Astronomer Cloud, saving thousands of euros in monthly costs by enabling the shutdown of on-premise infrastructure.
- Developed and orchestrated ETL pipelines and integrations from Kafka, MySQL and external APIs into Snowflake using Airflow and dbt.
- Created Prometheus metrics and alerts integrated with Grafana to monitor data assets. Supported data governance initiatives.
June 2023 - May 20254screenData Platform Engineer
Munich, Germany (Remote)
- Migrated orchestrator from Airflow to Dagster, created the full setup for ClickHouse as the first OLAP database in the company, and designed REST and GraphQL APIs.
- Deployed and maintained Kubernetes clusters, published production-ready Helm charts, and improved release automation through GitLab CI/CD.
- Created monitoring setup using Prometheus and Grafana dashboards to track anomalies and data freshness across Kafka topics, Azure Blob Storage, and databases.
- Implemented tests, linters, data checks, Bash scripts and automated workflows, improving code quality and data governance.
June 2021 - April 2023E.ON Energy Research Center & ACCURE Battery IntelligenceData Engineer Intern/Researcher
Aachen, Germany
- Ingested customer data using AWS services, Kubernetes, and Snowflake, supporting data-driven decision making in energy and industrial contexts.
- Developed Python and Bash automation scripts to streamline deployment and configuration of data ingestion pipelines.
- Built ETL pipelines to extract data from various sources and optimized GitLab CI/CD pipelines, resulting in 30% faster execution times.
- Developed a tool to semantically annotate raw IoT data captured from Kafka topics and published a research paper about it.
Beyond the timeline Education, skills & contributions ↗
Education
M.Sc. Electrical Engineering
RWTH Aachen · 2021–Present
Aachen, Germany
B.Sc. Electrical Engineering
Amirkabir University of Technology (Tehran Polytechnic) · 2015–2020
Tehran, Iran
Languages
English · Fluent
German · Limited working proficiency
Technical toolkit
- Languages
- Python, SQL, Scala, Java, Bash
- Databases
- Postgres, ClickHouse, SQL Server, Snowflake, MySQL, BigQuery
- Cloud
- AWS, GCP, Azure
- Infrastructure
- Docker, Kubernetes, Terraform, Helm, Prometheus, ArgoCD
- Data engineering
- Dagster, Airflow, Kafka, Spark, dbt
- Visualization & BI
- Tableau, Hex, Metabase, Dash, Plotly
Personal projects
Stockdex ↗
A Python package for accessing and plotting raw financial data.
Financial Data Scraper ↗
A pipeline archiving Yahoo Finance data with AWS and Postgres.
Publication
Haghgoo, Maliheh, Amirhossein Nazary Aghche Mazary, and Antonello Monti.
SiSEG-Auto Semantic Annotation Service to Integrate Smart Energy Data.
Energies 15.4 (2022): 1428.
Projects
A collection of my open-source projects, ranked descending by how much I like them 😊
The curiosity shelf.
Collection of my favorite videos, articles, and open-source projects.