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Kirill Olar

Kirill Olar

Senior Data Engineer | Data Platforms, Streaming, Analytics Engineering

Almaty, Almaty, KZ
+7 (777) 644-09-03
Russian, English

Background


About

About

Senior Data Engineer with 5+ years of experience building and operating production batch and streaming pipelines, cloud data warehouses, lakehouse workloads, and analytics-ready data products. Strong hands-on expertise in Python, SQL, PySpark, Spark Streaming, Apache Airflow, dbt, AWS, Databricks, Delta Lake, PostgreSQL, and Redshift. Proven track record of modernizing data platforms, improving ETL performance, building reusable cross-team tooling, and establishing data quality and observability with Elementary and Monte Carlo. Comfortable owning data workflows end to end, troubleshooting production issues, and translating product and business requirements into reliable, maintainable datasets.

Work Experience

Work Experience

  • Senior Data Engineer, Nexters ($GDEV)

    Jan, 2025 - Present

    • Build and operate production batch and streaming data pipelines for large-scale game and product analytics using Databricks, PySpark, Spark Streaming, and Delta tables.

    • Develop SQL and dbt transformation workflows that turn raw product data into reliable, analytics-ready datasets.

    • Implement data quality checks and production observability with Elementary to improve trust in downstream analytics.

    • Monitor and troubleshoot data flows, investigate transformation issues, and optimize processing for evolving product requirements.

    • Contribute to scalable data platform components that support reliable downstream analytics and reporting.

  • Senior Data Engineer, Remofirst

    Jan, 2024 - Jan, 20251 year

    • Promoted from Data Engineer to Senior Data Engineer within five months based on ownership of production workflows and data warehouse architecture.

    • Designed and evolved a cloud data warehouse architecture aligned with product analytics, business reporting, and stakeholder requirements.

    • Built and operated daily data pipelines and transformation workflows using Python, SQL, dbt, Apache Airflow, PostgreSQL, and AWS.

    • Automated synchronization with the primary product database to deliver current and reliable data for downstream analytics.

    • Delivered maintainable data workflows across AWS S3, PostgreSQL, QuickSight, and Airflow, translating business requirements into dependable analytical models.

  • Middle Data Engineer, Quantori

    Oct, 2023 - May, 20247 months

    • Developed production data ingestion pipelines for a data-driven medical study catalog and structured research datasets.

    • Migrated an existing application and its data workflows from on-premise infrastructure to AWS.

    • Built cloud data workflows with Python, AWS S3, Athena, Glue, PostgreSQL, and MWAA.

    • Implemented automated delivery pipelines with GitLab CI/CD to make production changes safer and more repeatable.

  • Middle Data Engineer, Playrix

    Aug, 2021 - Aug, 20232 years

    • Developed and supported production data sources, pipelines, and analytical data marts for large-scale game analytics.

    • Modernized the data stack and optimized ETL processing across analytics workflows.

    • Integrated dbt into existing pipelines, shortening delivery time for new analytical data marts and improving maintainability.

    • Built a reusable cross-team Python ETL library in a Databricks and PySpark environment.

    • Implemented data quality monitoring with Monte Carlo to detect issues earlier and improve trust in production datasets.

    • Worked across AWS, Databricks, PySpark, Apache Airflow, Redshift, Cloudera Impala, and dbt.

  • Middle Data Engineer, DAR

    Jan, 2020 - Aug, 20211 year 7 months

    • Built data marts and employee activity analytics pipelines from scratch for internal enterprise reporting.

    • Developed event-driven data integrations using GitLab and Jira webhooks with AWS Glue, S3, and Lambda.

    • Delivered reliable datasets that supported internal analytics and operational decision-making.

  • Junior Data Scientist, DAR

    Jun, 2019 - Jan, 20207 months

    • Developed a face-recognition extension for an office checkpoint system.

    • Built a working MVP using Python, OpenCV, DLib, and CUDA-enabled libraries.

  • Data Science Intern, DAR

    Mar, 2019 - Jun, 20193 months

    • Developed a sales forecasting system using an ARMA model.

    • Applied statistical time-series methods to prototype data-driven forecasting capabilities.

Skills

Skills

  • Programming & Querying

    Python

    SQL

    PySpark

  • Distributed Processing & Lakehouse

    Apache Spark

    Spark Streaming

    Databricks

    Delta Lake

    Delta Tables

    Cloudera Impala

  • Data Engineering & Modeling

    ETL

    ELT

    Data Pipelines

    Data Warehousing

    Data Marts

    Data Modeling

    Dimensional Modeling

    Batch Processing

    Streaming Processing

  • Orchestration & Transformation

    Apache Airflow

    dbt

    AWS MWAA

  • Cloud & Storage

    AWS

    AWS S3

    AWS Glue

    AWS Athena

    AWS Redshift

    AWS Lambda

    PostgreSQL

  • Data Quality & Observability

    Elementary

    Monte Carlo

    Data Testing

    Data Quality Monitoring

    Pipeline Monitoring

    Incident Investigation

  • Engineering Practices

    Git

    GitLab CI/CD

    REST APIs

    Webhooks

    Production Support

    Performance Optimization

  • Domains

    Gaming Analytics

    Product Analytics

    HR-tech Analytics

    Healthcare and Life Sciences Data

    Enterprise Analytics

Education

Education

  • Computer Systems and Software Engineering, Bachelor's degree, The International Information Technology University, Almaty, Kazakhstan

    Sep, 2016 - Jun, 2020