Aleksandr Kolmakov

Angestellt, Senior Data Engineer, Freelance

Bonn, Deutschland

Über mich

Seasoned and dynamic professional with over 5 years of hands-on experience in building scalable data architectures and leading high-performing teams. Strong foundation in data modeling, analytics processing engines, and storage systems, combined with a strategic approach to aligning team efforts with customer needs. A proven motivator and communicator, adept at fostering a culture of collaboration, continuous improvement, and technical excellence within diverse, international teams. Fluent in English and committed to driving engineering perfection in cloud-native integrations.

Fähigkeiten und Kenntnisse

python
ETL
Data Modelling
sql
GCP
AWS
Airflow
Apache Spark
Mage
Kafka
Redpanda
Git
Docker
Snowflake
Cloud Computing
Data Warehouse
Computer Science
Technology
Linux
Google
Kubernetes
Machine Learning
Backend
Database
GitLab
Terraform

Werdegang

Berufserfahrung von Aleksandr Kolmakov

  • Bis heute 4 Monate, seit März 2024

    Senior Data Engineer

    Freelance

    Successfully converted partially manual Google spreadsheet analytics to fully automated Superset dashboard with DBT core and Mage including data modeling overhaul. Introduced event driven (RedPanda + PyFlink) messaging to process the 5k notifications per day reducing overall delivery delay by 40%.

  • 8 Monate, Juni 2023 - Jan. 2024

    Senior Data engineer

    Sensemitter

    Converted current batch workflow to streaming solution with Dataflow on GCP to optimize emotion recognition pipeline and allow for frame by frame recognition. Used dbt to reduce data quality issues in analytics reports by 30%. Implemented first working prototype of Delta Lake over existing object storage which reduced storage used for popular campaigns down to 40% and allowed for pipeline comparison reports using time travel feature.

  • 3 Jahre und 3 Monate, März 2020 - Mai 2023

    Machine Learning Engineer

    Arloid

    Pioneered and supported full RL pipeline from concept to production launch on live buildings. Optimized data analytics workflow by 50% via introducing Stardog to map out all relations between equipment. Upgraded and scaled BMS data extraction pipeline to use Airflow orchestration with horizontally sharded MongoDB Atlas.

  • 2 Jahre und 11 Monate, Apr. 2017 - Feb. 2020

    Senior Backend Developer

    Distillery

Sprachen

  • Englisch

    Fließend

Interessen

Sailing
Diving
Marine conservation

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