Available for senior / lead data roles

Artem
Mukhachev

Lead Data Engineer / Remote · EU

I build reliable, cost-efficient data platforms — DWH architecture, dbt, Spark and streaming pipelines that teams actually trust.

Get in touch → View experience
−40%
cloud cost

cut platform cost by migrating the DWH to a managed cloud warehouse

50%
faster pipelines

Spark 2.4 → 3.2 migration + JVM tuning on RWA pipelines

100%
DQ coverage

raised data-quality test coverage from 20% to 100%

6+
years in data

banking, trading & marketing domains

01 / About

Data platforms people actually trust.

Data Engineer with 6+ years turning messy, multi-source data into dependable analytics platforms — from regulatory risk reporting at tier-1 banks to a cloud DWH for a marketing company.

I own the full stack of a modern data platform: warehouse architecture (Data Vault, Anchor, dimensional), dbt transformation layers, batch and streaming ingestion, orchestration, and the data-quality and access-control frameworks that keep it all trustworthy.

I care about two numbers above all: how much the platform costs to run, and how much people trust the data coming out of it. Most of my work is about pushing the first down and the second up.

02 / Experience

Where I've shipped data.

  1. Lead Data Engineer Now

    NDA · Marketing Domain · Remote · EU

    Sep 2024 — Present

    Own the cloud data platform end-to-end — architecture, transformation layer, ingestion, quality and access control.

    • Drove a cloud DWH migration (ClickHouse Cloud / Snowflake), cutting platform cost by ~40%.
    • Migrated transformation tasks to dbt models; optimized pipelines for ~40% faster execution.
    • Designed a hierarchical role-based access control (RBAC) model for warehouse users.
    • Redesigned extraction pipelines from Postgres, MongoDB, Appsflyer, Amplitude and S3.
    • Built a data-quality framework, lifting test coverage from 20% to 100%.
    • Added DWH failure alerting, reducing downtime and improving incident response.
    ClickHouseSnowflakedbtAWSPythonRBAC

  2. Senior Data Engineer

    NDA · Trading Startup · Moscow, RU

    May 2024 — Sep 2024

    Stood up a data platform from scratch for a trading startup.

    • Built the data platform from zero (ClickHouse + Ceph).
    • Organized migration from MS SQL, S3 and BigQuery into the new platform.
    • Deployed Airflow 2.9.2 on Kubernetes.
    • Built streaming pipelines from Kafka and Elasticsearch into ClickHouse.
    • Tuned ClickHouse tables (schema, keys, engines) for ~20% less storage.
    • Designed the DWH using Data Vault methodology.
    ClickHouseKafkaAirflowSparkKubernetesData Vault

  3. Senior Data Engineer

    Raiffeisen Bank · Moscow, RU

    Sep 2021 — May 2024

    Built a product calculating Risk-Weighted Assets (RWA) for the Risk department from scratch.

    • Built ELT/ETL pipelines (PySpark / Python / SQL) integrating many internal sources.
    • Migrated Spark 2.4 → 3.2 and tuned the JVM, improving performance by ~50%.
    • Created a PySpark unit-testing framework and data-quality checks.
    • Implemented the DWH architecture and data products.
    • Delivered monthly RWA reporting (IRB approach) to the Central Bank of Russia.
    PySparkAirflowApache IgniteSpring Cloud Data FlowPythonSQL

  4. SQL Developer

    UniCredit Bank · Moscow, RU

    Jan 2020 — Sep 2021

    Developed and integrated a software complex; automated data processing and reporting.

    • Wrote SQL to automate data processing, analysis and reporting.
    • Built ad-hoc analytics and dashboards.
    • Authored requirements for internal data systems.
    SQLPL/SQLPower BI

04 / Projects

Things I built to prove it.

Selected engineering case studies — data platforms I architected and delivered, with the problem, the work and the measurable impact.

P01 Production

ClickHouse Cloud Migration

Migrated a marketing-analytics warehouse from Google Cloud to ClickHouse Cloud — ~40% lower cost, with rebuilt ingestion, dbt transformations and failure alerting.

ClickHouse ClouddbtAWSGCPPython
2024 — Present Open case →
P02 Production

Snowflake Platform — dbt, RBAC & Data Quality

Built the transformation, access-control and quality layers of a Snowflake data platform — dbt models, hierarchical RBAC, and test coverage from 20% to 100%.

SnowflakedbtAWSPythonRBAC
2024 — Present Open case →
P03 Production

RWA Calculation Engine

Built from scratch the platform that calculates Risk-Weighted Assets for a tier-1 bank's Risk department — powering monthly IRB regulatory reporting to the Central Bank.

PySparkAirflowApache IgniteSpring Cloud Data FlowPython +1
2021 — 2024 Open case →
P04 Delivered

Trading Data Platform from Scratch

Stood up an end-to-end data platform for a trading startup — batch + streaming ingestion, a Data-Vault DWH, and Airflow-on-Kubernetes orchestration.

ClickHouseCephKafkaElasticsearchSpark +3
2024 Open case →

03 / Stack

Tools of the trade.

01Languages

  • Python
  • SQL
  • PL/SQL
  • Scala
  • SAS
  • R
  • Java (basic)

02Big Data & Orchestration

  • Spark / PySpark
  • Kafka
  • Airflow
  • dbt
  • Apache Ignite
  • Airbyte
  • Hadoop
  • Hive

03Warehouses & Storage

  • ClickHouse
  • Snowflake
  • Greenplum
  • Vertica
  • PostgreSQL
  • ElasticSearch
  • MinIO / S3

04DWH Modeling

  • Data Vault
  • Anchor Modeling
  • Dimensional / Snowflake
  • Data Products

05Cloud & DevOps

  • AWS
  • GCP
  • Docker
  • Kubernetes
  • GitLab CI/CD

06BI & Governance

  • Power BI
  • Tableau
  • Data Quality frameworks
  • RBAC
  • DVC

Education

ITMO University
M.S. Computer Science · Software development for business
2022 — 2024
RUDN University
B.S. World Economy · Research work, 2nd grade award
2016 — 2020

Certifications

  • Spark Advanced — Otus (2023)
  • Data Engineer — Karpov.Courses (2021–2022)
  • Basic Scala — Stepik (2020)
  • SQL — sql-ex.ru (2019)

05 / Contact

Let's build a data platform worth trusting.

Open to Senior / Lead Data Engineer roles. Best reached on LinkedIn.

Connect on LinkedIn →