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Yulia Afletunova

@yuliaafletunova

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Data Engineer at Emerge Data who cut ClickHouse memory use from 120GB to 2GB and built production data pipelines.

Germany

Message

At Emerge Data, I owned the ClickHouse warehouse and dbt project end to end, with more than 90 models across staging, intermediate, and mart layers. I cut memory usage from 120GB to 2GB by redesigning incremental strategies and restructuring queries.

At MEL Science, I built a PostgreSQL/dbt/Metabase warehouse that replaced manual reporting with a same-day pipeline, and owned subscription billing, retention, and churn as the company’s core health metric. I also built MoneyGraph, a scheduled pipeline that turns financial documents into a verified investment graph.

Experience

Work history, roles, and key accomplishments

Current

Founder

Current

Analyst Girls Club

Sep 2021 - Present (5 years 1 month)

Founded and leads a community for women in data with over 300 members.

Data Analyst (Data & Analytics Engineer)

Emerge Data

Feb 2025 - Jun 2026 (1 year 4 months)

Owned the ClickHouse warehouse and dbt project end-to-end, building over 90 dbt models and a testing suite. Built AWS-based ingestion infrastructure and reduced ClickHouse memory usage from 120GB to 2GB.

Python SQL DBT Airflow Clickhouse PostgreSQL AWS Docker CircleCi

Data Analyst (Analyst-Developer)

Yandex

Apr 2023 - Feb 2024 (10 months)

Analyzed multivariate Big Data A/B tests on SERP, interpreting over 1000 metrics and delivering results via BI dashboards and reports. Calculated metric sensitivity from over 40 A/B tests using ML pipelines.

Python YQL YTsaurus DataLens Business Intelligence

Full-Stack Data Analyst (Analytics Engineer)

3commas.io

Nov 2022 - Jan 2023 (2 months)

Managed Airflow and Redshift ELT pipelines, ensuring data freshness and quality. Built data integrations with third-party APIs and set git-based development standards for a team of analysts.

SQL AWS RedShift Airflow Python DBT

Data Scientist

MEL Science

Sep 2019 - Sep 2022 (3 years)

Built a data warehouse on PostgreSQL/dbt/Metabase, automating financial and product reporting. Owned subscription billing, retention, and churn as the core health metric, maintaining a 90% level over 3 years.

Python Jupyter PostgreSQL DBT Metabase Mixpanel Data Visualization