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Ilya I.II

Ilya I.

Data/ Python Engineer

€700/day
Berlin, DE
8-15 years

Average response time: 1 hour

About Ilya

DevOps/ Data Engineer (Python, Azure, GCP, AWS, Spark, Terraform, Kubernetes) experienced in working with data and IoT platforms, cloud infrastructure and software development, seeking a new challenge to architect and build solutions in these areas.
  • English

    Native or bilingual

  • German

    Fluent

Can work on-site
Berlin (up to 50km)

Experience

  • Machinery Manufacturer
    Data Engineer/ DevOps
    ENERGY AND UTILITIES
    July 2023 - May 2025 (1 year and 10 months)
    München, Germany
    Designed a platform based on IoT, Kubernetes, and Postgres for an existing application. Data migration from managed Postgres database to self-hosted TimescaleDB with replication. Developing microservice for IoT data processing with Python. Major effort was made (successfully) to move from “click-ops” and ci/cd pipelines defined in the UI to infrastructure-as-a-code, with several environments being completely redeployed.

    Technologies: DevOps, IoT, Grafana, helm, kustomize


    PostgreSQL Terraform Apache Kafka Pytest Kubernetes
  • Printing equipment producer
    Data Engineer/ DevOps
    January 2018 - April 2018 (3 months)
    Implementing framework for centralised maintenance of log data from an IoT network processing based on Kafka cluster in AWS with backup in s3. Starting from setting up development and production environments, to setting up Kafka, HTTP API, UI with Sales Force and implementing use cases in Flink, which generated findings about coming service time and printing units productivity.

    Technologies: Kafka, Java Spring, GitLab, Avro, Jenkins
  • Broadcasting
    Data Engineer/ DevOps
    April 2021 - March 2023 (1 year and 11 months)
    Developing and running ETL jobs based on GCP, Pub/Sub, Spark (Databricks), Cloud SQL, and Airflow. Collaborated closely with cross-functional teams to define data requirements and design reliable ETL pipelines. Ensured data consistency and quality across distributed systems, developed methodology for data quality testing (Great Expectations). Actively worked on adoption of new data technologies and improving pipeline robustness.​

    Technologies: Pub/Sub, TestRail, AWS, GCP, Azure, Vault, Airflow, Python, K8s, Grafana, Prometheus

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Education

  • Bachelor of Project Management in
    National Research University "Higher School of economics"
    2012
    Bachelor of Project Management in
  • Arduino based microcontrollers programming
    2016
    Arduino based microcontrollers programming

Skill set

Categories