Evgeny Inkov

Senior Data Engineer / Data Platform Engineer

10+ years in software development · 7+ years working with data

I build and scale data platforms: ETL/ELT pipelines, Airflow DAGs, a Hadoop-based data warehouse (Hive, Impala), data marts in ClickHouse and PostgreSQL. I own pipelines end to end, from ingestion to reporting and monitoring.

Contact me About me
Evgeny Inkov, portrait by a window with house plants

Open-source projects

All projects

My data engineering work lives in private company repositories: see the case studies. These are open-source projects I build outside of work.

  1. Cocosations

    An XMPP client for Android based on Conversations, with call diagnostics: failed stage, reason and audio quality.

    • Android
    • Java
    • XMPP
    • WebRTC
    • F-Droid

  2. Kadr

    A screenshot tool for GNOME on Wayland: capture modes, an annotation editor, OCR and uploads over SFTP and WebDAV.

    • C++23
    • Qt 6
    • Wayland
    • xdg-desktop-portal
    • Flatpak

  3. InkVault

    A password manager that needs only a client and an XMPP account on any server: end-to-end encryption, a Rust core, web, Android and terminal clients.

    • Rust
    • Kotlin
    • TypeScript
    • WebAssembly
    • XMPP

About

I started in application development: Java, Python and C++ applications, web interfaces and PostgreSQL migration scripts. Then I moved to product data: analyzing logs, writing loaders and parsers in Go and Python, building aggregates in ClickHouse. Today I build ETL/ELT pipelines and Airflow DAGs, a Hadoop-based data warehouse (Hive, Impala), and data marts and aggregates in ClickHouse and PostgreSQL. I also designed a pilot lakehouse on Iceberg, S3, Spark, Kafka and PyArrow.

I own the full data lifecycle: collection from internal and external sources, parsing and normalization, enrichment, storage, aggregation, reporting, monitoring, alerting and automation. I design fault-tolerant pipelines, tune query and orchestration performance, and own data quality and SLAs.

I have worked with product, marketing and log data and built integrations with Google Ads, Meta Ads, data.ai, myTracker and other external APIs. I deliver data to the business: dashboards, reports, self-service BI, ad-hoc analysis. On the team, I review code, mentor engineers and drive architecture decisions. I work closely with analytics, product and infrastructure teams.

attributes

role
Senior Data Engineer / Data Platform Engineer
dev_experience
10+ years in software development
data_experience
7+ years working with data
core_stack
Python, SQL, Airflow, ClickHouse, Hadoop, Spark
data_domains
product, marketing and log data
team
code review, mentoring, architecture

What I do

  • Data collection

    Collecting data from product logs and external sources: Google Ads, Meta Ads, data.ai, myTracker, internal APIs, databases, files, S3. Setting up CDC, exports, parsers and loaders. Working with Kafka and message queues.

  • Processing and enrichment

    ETL/ELT pipelines in Python and SQL. Text log parsers, cleansing, normalization, enrichment, deduplication. Data marts, aggregates, SCD2, DWH layers. PySpark, dbt, Spark SQL.

  • Loading and storage

    Loading data into ClickHouse, aggregates in ClickHouse and MySQL. A Hadoop-based data warehouse (Hive, Impala). PostgreSQL, S3, HDFS, Parquet. Tuning partitioning, compression and storage schemas.

  • Orchestration

    Airflow DAGs: dynamic DAGs, custom operators, sensors, pools, SLAs, retries, backfill. Airflow configuration and performance tuning. CeleryExecutor and KubernetesExecutor, queue and worker monitoring.

  • Data quality

    Completeness, uniqueness, timeliness and consistency checks. Reconciliation between sources and data marts. Anomaly detection, Great Expectations, dbt tests, custom checks.

  • Reporting and BI

    Report automation, business intelligence dashboards, data analysis for marketing. Superset, Metabase, Grafana, ad-hoc analysis. Self-service BI and a data mart layer for analysts.

  • Monitoring and alerting

    Grafana, Graphite and Prometheus dashboards. A web dashboard for ETL monitoring, Grafana alert webhooks. Telegram notifications, incident response, pipeline health checks.

  • Performance

    Query optimization in ClickHouse (MergeTree), PostgreSQL, Hive and Impala, Airflow DAG optimization. Reducing processing time, storage costs and cluster load.

  • Microservices

    Bots, auto-responders, internal APIs and tools for the team.

  • Bulk messaging

    Built the delivery backend for campaigns of up to 3M recipients: queues, rate limiting, templates, deliverability, monitoring.

  • Infrastructure

    Docker, Podman, Kubernetes, GitLab CI, Ansible. CI/CD for data and services. Documentation, lineage, access management, PII handling under GDPR and Russian data protection law (152-FZ).

  • Teamwork

    Code review, mentoring, task estimation, architecture decisions, requirements gathering, working with product and analytics teams.

Stack

Languages

  • Python
  • SQL
  • Bash

Orchestration and monitoring

  • Airflow
  • dbt
  • Celery
  • Grafana
  • Graphite
  • Prometheus
  • Sentry

Storage and processing

  • ClickHouse
  • PostgreSQL
  • Spark/PySpark
  • Kafka
  • Iceberg
  • S3
  • Parquet
  • Hadoop
  • HDFS
  • Hive
  • Impala
  • MySQL

Data analysis

  • Jupyter Notebook
  • pandas
  • Plotly
  • Zeppelin
  • Spark
  • Superset

DevOps and platform

  • Docker
  • Podman
  • Kubernetes
  • Git
  • GitLab CI
  • Ansible

Cloud

  • Yandex Cloud
  • VK Cloud
  • S3-compatible object storage

Previously used

  • Java
  • Go
  • Hibernate
  • C++
  • Qt
  • C#
  • Mono
  • PHP
  • JavaScript
  • jQuery
  • Tornado
  • HTML
  • UML
  • Astra Linux

Contact

Email is the fastest way to reach me.