Paul Sivash

CTO / Backend & Data Engineer

Helsinki, FI.

About

Data and Analytics professional with 10+ years of expertise in analytics engineering, data engineering, product analytics, and leadership roles across technology and retail sectors. Skilled in SQL, Python, BI tools, and building data pipelines—currently enabling autonomous delivery insights at Starship Technologies.

Work

Starship Technologies

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Senior Analytics Engineer

Helsinki, Uusimaa, Finland

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Summary

Design and implement analytics engineering solutions to support autonomous delivery operations, including developing data pipelines, building dashboards, and extracting insights to optimize performance and safety of robot delivery fleet.

Highlights

Published and developed “PAVEL” (Pipeline Analytics & Visualization for Execution Logs), an internal tool for visualizing run execution and bottlenecks, enhancing pipeline observability

Kronika

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CTO / Principal Backend and Data Engineer

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Summary

Drive overall technological strategy and provide leadership across infrastructure, backend architecture, search systems, and data engineering, developing tools and services like RIMA (Russian Independent Media Archive) to fight digital oblivion.

Highlights

Define and execute the long-term technical vision across all current and future products.

Build, lead, and mentor engineering teams, establishing high-trust processes and overseeing talent acquisition.

Architect and implement backend services, search pipelines, and data-engineering workflows.

Manage cloud infrastructure budgets, optimize operational compute and storage costs, and scale search-related expenses.

Align technical strategy at the board level while maintaining hands-on contributions to platform stability and release pipelines.

Starship Technologies

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Senior Data Analyst

Helsinki, Uusimaa, Finland

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Summary

Led product analytics and BI; responsible for generating insights on customer behavior, funnels, and operational KPIs to inform product and operational decisions.

Hoff

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Head of Product Analytics

Moscow, Moscow, Russian Federation

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Summary

Led analytics for product initiatives in the retail supermarket chain, driving insights into product performance and customer behavior to inform strategy.

DomClick

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Product Owner / Chief Product Owner

Moscow, Moscow, Russian Federation

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Summary

Oversaw product strategy and execution, bridging data, engineering, and business stakeholders to deliver real-estate services platform capabilities.

DomClick

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Data Scientist

Moscow, Moscow, Russian Federation

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Summary

Applied data science techniques for modeling, analysis, and feature engineering to support product decisions.

Sberbank

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Data Analyst

Moscow, Moscow, Russian Federation

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Summary

Performed data analysis to support business decision-making in banking operations.

Aviareps Group

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E‑commerce Manager

Munich, Bavaria, Germany

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Summary

Managed e‑commerce operations and strategic campaigns across markets, coordinating marketing and analytics efforts.

Education

Plekhanov Russian University of Economics

Moscow, Moscow, Russian Federation
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Master’s Management & Marketing

Plekhanov Russian University of Economics

Moscow, Moscow, Russian Federation
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Bachelor’s Management & Marketing

Skills

Analytics Engineering

SQL, Python, Data Pipelines, ClickHouse, PostgreSQL, ETL.

Data Visualization & BI

Power BI, Grafana, Excel, Business Intelligence, Funnel Analysis.

Product & Business Analytics

Product Analysis, A/B Testing, Funnel Optimization.

Data Engineering & Infrastructure

Data Engineering, Load, Transform, Dashboards.

Leadership & Communication

Team Leadership, Stakeholder Management, Product Ownership.