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Abduvosid Malikov

@abduvosidmalikov

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Analytics Engineer at Sanofi who cut Snowflake compute by 35% and built trusted sales KPI models.

Uzbekistan

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At Sanofi, I built dbt models on Snowflake for US sales KPIs, using a bronze/silver/gold medallion architecture. I also reduced Snowflake compute by 35% through query optimisation, clustering redesign, and incremental model refactoring.

I owned Airflow orchestration for more than 100 production dbt models and added dbt test gates and proactive monitoring. These changes reduced production incidents by 20%.

At Tengemarket.uz, I built the data infrastructure from ingestion through BI for a marketplace platform. I modelled event-driven data and defined governed growth metrics, then created Metabase dashboards for product and growth teams.

As an independent analytics consultant, I build dbt and PostgreSQL data stacks and Metabase dashboards for startups and SMEs. I also built and launched chashma.uz, an AI-powered CV analysis and job-matching web app.

Experience

Work history, roles, and key accomplishments

Current

Analytics Consultant

Current

Independent

Jan 2022 - Present (4 years 9 months)

Built dbt + PostgreSQL data stacks and Metabase dashboards for early-stage startups and SMEs, managing full analytics delivery from requirements to production.

DBT PostgreSQL Metabase

Senior Analytics Engineer

Sanofi

Jan 2024 - Jul 2026 (2 years 6 months)

Built dbt models on Snowflake in a medallion architecture powering US sales KPIs, and owned Airflow orchestration for 100+ production models. Reduced incidents by 20% via CI test gates, cut Snowflake compute 35%, and shipped Power BI self-serve dashboards used by 200+ users.

DBT Snowflake Airflow Power BI Medallion Architecture Dimensional Modeling dbt incremental models CI CD Data Quality Query Optimization

Analytics Engineer

Tengemarket.uz

Jun 2022 - Jun 2023 (1 year)

Sole analytics engineer on a marketplace platform, building the entire data infrastructure from scratch. Designed dimensional models for high-volume event-driven data and defined core growth metrics as governed SQL models.

Python PostgreSQL Airflow Metabase Power BI Dimensional Modeling Event Tracking SQL

Middle Analytics Engineer

MAZARS

Jan 2021 - May 2022 (1 year 4 months)

Automated audit data reconciliation pipelines in Python/SQL, reducing analyst prep time by ~40%. Delivered Power BI reports for client finance leads and identified data quality issues in client systems.

SQL Python Power BI Data Reconciliation Data Quality

Education

Degrees, certifications, and relevant coursework

Central European University

Master of Science, Business Analytics

2020 - 2021

Activities and societies: University scholarship

MSc in Business Analytics with focus on quantitative methods, data modelling, product analytics, and statistical inference. Awarded university scholarship.