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Daniel SedlackDS

Daniel Sedlack

Supermalter

Senior Software Engineer Backend

€680/day
3 projects
Hamburg, DE
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Daniel

Java || Python || DevOps || Data Engineering

Flexible and broadly experienced Software Engineer with many years of experience working in the Java ecosystem.

Experienced in backend development in Python (FastAPI, SQLAlchemy), Data Science (Pandas, NumPy, matplotlib, scikit-learn, XGBoost, Jupyter), and Data Engineering.

Extensive DevOps experience with Linux, Containers (Docker, Kubernetes), CI/CD (GitLab, GitHub), Cloud (AWS, Hetzner), Monitoring & Observability (Prometheus, Grafana, OpenTelemetry).
  • German

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • energielenker solutions GmbH
    Data preparation of energy data with Dagster, InfluxDB and Grafana
    ENERGY AND UTILITIES
    February 2026 - June 2026 (4 months)
    Conception and implementation of an ETL pipeline in Python with Dagster for the transformation of raw energy data from heterogeneous sources using InfluxDB, as well as visualization with Grafana.
    • Development of ETL pipeline in Dagster with dependency graph between assets
    • Definition of time-controlled and dependency-based jobs
    • Cloud-based deployment with Dagster+
    • Connection of InfluxDB Cloud Serverless as data storage
    • Preparation of data for use in Grafana, including cleaning and normalization of raw data, as well as temporal resampling
    • Development of dashboards for visualization in Grafana
    • Development of unit tests including mocking with pytest
    • Setup of CI/CD pipeline in GitLab
    Python ETL Grafana InfluxDB Cloud Computing
  • <Hausverwaltung>
    Conception and implementation of building infrastructure monitoring
    REAL ESTATE
    November 2025 - January 2026 (2 months)
    Hamburg, Germany
    Conception and implementation of a concept for continuous monitoring of building infrastructure with Prometheus and Grafana, connecting data from heterogeneous sources (BACnet, MODBUS, SMTP, REST, ...).
    • Deployment of Prometheus and Grafana in a local container environment
    • Development of custom Prometheus exporters in Java with Quarkus
    • Deployment of 3rd party Prometheus exporters
    • Connection of exporters for data collection by Prometheus
    • Creation of dashboards with transformations for visualization of data from network, IT infrastructure, and building automation systems
    • Configuration of alarms and creation of policies with multi-channel notifications via Grafana and Prometheus Alertmanager
    • Deployment of Mimir for long-term data storage with S3-compatible cloud backend
    • Cloud-supported monitoring of local infrastructure using Cloudflare Workers
    • Management of cloud resources using Terraform
    Grafana Prometheus Python Quarkus Java
  • Statista Strategy GmbH & Co. KG
    Further development, adaptation, and support of ETL pipeline
    DIGITAL AND IT
    November 2025 - May 2026 (6 months)
    Hamburg, Germany
    Further development of an ETL pipeline in Python with Dagster, conceived and implemented in a previous project:
    • Adaptation of the pipeline to changed requirements, including adjustments to the output format
    • Error analysis and resolution
    • Ongoing operational support
    • Consulting on design and expansion
    Python Dagster ETL Processes CI/CD Unit Testing

Reviews

5.0

Out of 1 rating

E

Emanuel

Statista Strategy GmbH & Co. KG

Several weeks project

-

Reviewed on 11/5/2025

Daniel was integrated into a demanding project involving a complex ETL pipeline and delivered far beyond our expectations. Initially assigned as a backend developer, his architectural foresight provided valuable input and set crucial impulses for the overall project. He proactively engaged at interfaces, identified challenges early, and contributed to problem-solving – significantly accelerating the project dynamics. Despite significant planning uncertainties, we were able to deliver a fully functional, stable end result. We would hire Daniel again anytime for demanding technical tasks and complex projects.

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Education

  • Dipl.-Ing.
    Technical University of Hamburg-Harburg
    2011
    Studium des Informatikingenieurwesens mit Spezialisierung auf Softwareentwicklung und Nachrichtentechnik

Skill set

Categories