- Phone: +46 73 036 28 78
- Email: email at reinthal dot me
- Location: Gothenburg, Sweden
- Website: reinthal.me
- LinkedIn: alexander-reinthal
- GitHub: reinthal
- Feb 2022 – present
- Gothenburg, Sweden
- Managed and did work in migrating legacy data pipelines to a modern data stack using Snowflake, Dagster and Dbt. This cut cloud-costs by 50%.
- Helped parent company align data tooling to facilitate BI insights from subsidiaries.
- Lead agile R&D team to integrate car software telemetry data into software integration platform. Project discontinued due telemetry not yet implemented in software.
- Apr 2019 – Jan 2022
- Gothenburg, Sweden
- Built out new internal tooling that was well received by other analysts.
- Educated other analysts in understanding how to analyze the alert flow.
- June 2017 – Oct 2018
- Gothenburg, Sweden
- Lead a team to implement a log parsing tool which resulted in Ericsson hiring a team of engineers to continue its development.
- github.com/dagster-io/dagster
- Have contributed to the above open source project.
- Dagster is a data orchestration tool that manages workflows by organizing, scheduling, and monitoring data pipelines.
- Tools used: Pytest, python3.10, buildkite
- github.com/reinthal/lpp
- Internal tool for automating analysis of malicious domains
- Tools Used: python3 and python2, Sci-kit-learn, xgboost, asyncio, MongoDB, fastapi, rabbitmq, redis, docker, docker-compose
- github.com/reinthal/my-kubernetes-infra
- Kubernetes Manifests to test deploying using FluxCD before deploying at customers.
- FluxCD configurations for a modern data stack using langfuse for LLM telemetry, Elastic Search, Openmetadata, OpenWebUI for a chatbot, Rancher and Traefik for ingress.
- Tools Used: Fluxcd, Kubectl, k9s
- github.com/reinthal/k3s-proxmox-tf
- Terraform script to deploy k3s hosts in my homelab to test new software before using it in production.
- Tools Used: Terraform
- Languages: python, R, sql, c#, java, terraform, nix, c++, assembly
- Technologies: Dagster, Snowflake, DBT, Kubernetes, Kubeflow, podman, docker, Databricks, ETL, Azure, AWS, Proxmox, git
- Sept 2016 – June 2018
- Coursework: Statistical Physics, Neural Networks & Machine Learning
- Sept 2013 – June 2016
- Coursework: Algorithms, Testing, Debugging & Verification, Theoretical Computer Science, Operating Systems, Cryptography, Cyber Security
Data Modelling for Predicting Exploits (10.1007/978-3-030-03638-6_21)
- Nov 2018
- Reinthal, A, Filippakis, E.,, Almgren, M.