Andrei Kosov
@andreikosov
I build scalable data pipelines, analytics, and ML solutions that improve business decisions.
CzechiaWhat I'm looking for
At Česká spořitelna, I design and maintain scalable ETL/ELT pipelines for AI chatbot reporting, processing more than 4 billion rows across 400+ transformations. I orchestrate Databricks workflows, build Spark batch and near-real-time processing, and support production ML and LLM use cases.
Previously at Provident Financial, I built risk models, data pipelines, and clustering solutions that improved agent productivity by 23%. I bring hands-on Python, SQL, analytics, and stakeholder collaboration to turn raw data into practical business outcomes.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Česká spořitelna
Apr 2025 - Present (1 year 5 months)
Designed and maintained scalable data pipelines for reporting solutions, processing 4B+ rows across 400+ transformations. Built and automated batch and near real-time data processing workflows using Apache Spark, and managed 10+ pipelines in Databricks.
Tech stack: Python, SQL, Databricks, Snowflake, Keboola, Apache Spark, Apache Kafka, Apache Hive, Airflow, Tableau, Elasticsearch
• Designed and maintained scalable data pipelines (ETL/ELT) for reporting solutions using Apache Kafka, Apache Hive, Keboola, and Snowflake; processed 4B+ rows of data across 400+ transformations.
• Built and automated batch and near real-time data processing workflow
Data Engineer in Credit Risk Department
Jun 2023 - Oct 2025 (2 years 4 months)
Tech stack: Python, SQL, AWS, Apache Airflow
• Engineered a predictive model using Random Forest algorithms, improving risk assessment accuracy by identifying potential default clients (estimated annual savings: XX million CZK).
• Developed robust data pipelines using ETL principles to transform XML and registry data into user-friendly tables, improving data accessibility and usability.
• Desi
Tech stack: Python, SQL, SAP, Excel
1) Analyzed, prepared, and derived insights from large volumes of data to optimize maintenance budget costs for a specific segment of production at Philip Morris ČR. Achieved a significant reduction in maintenance costs by 17% during the first complete year in 2022 through data-driven strategies and optimization efforts.
2) Served as a technical reference point
Education
Degrees, certifications, and relevant coursework
Fakulta strojní ČVUT v Praze
Inženýr (Ing.), řizení ekonomika podniku
2019 - 2021
Czech Technical University in Prague, Faculty of Mechanical Engineering
Ing., Business Economics and Management
2019 - 2021
Pursued an engineering degree in Business Economics and Management, focusing on industrial engineering and economic principles.
Fakulta strojní ČVUT v Praze
Bakalář (Bc.), Výroba a ekonomika ve strojírenství
2016 - 2019
Czech Technical University in Prague, Faculty of Mechanical Engineering
Bc., Manufacturing and Economics in Mechanical Engineering
2016 - 2019
Completed a bachelor's degree in Manufacturing and Economics in Mechanical Engineering, building a foundation in engineering and economic analysis.
Tech stack
Software and tools used professionally
Availability
Location
CzechiaAuthorized to work in
Salary expectations
Job categories
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