Nazar Tentimishev

Promoted to Senior based on contribution to building the company’s data platform from scratch and taking ownership of orchestration and metadata governance architecture. 🔹 Key Contributions & Impact • Leading development of scalable orchestration layer using Apache Airflow → Established production-grade workflow standards for the platform • Contributing to internal custom ETL framework development → Standardized ingestion and transformation processes across teams • Implementing metadata governance using OpenMetadata → Increased data visibility and lineage transparency • Designing and optimizing analytical workloads in ClickHouse → Improved query performance for BI and reporting use cases • Developing complex business logic in Oracle PL/SQL → Ensured accurate transactional data processing • Containerizing services using Docker within Linux-based infrastructure → Standardized deployment environments Collaborating with external data vendors for integration and data quality alignment • Supporting BI layer using Apache Superset → Enabled business users with reliable analytical dashboards

🔹 Key Contributions • Built foundational ETL pipelines for newly established data platform • Designed ingestion and transformation patterns for core data domains • Developed SQL-based analytical datasets for reporting and analytics • Established initial Airflow DAG structure and workflow standards • Contributed to architectural decisions during early-stage platform development

🔹 Overview Worked on building and scaling modern ELT infrastructure using DBT and Airflow, focusing on data model standardization, orchestration, and platform reliability. 🔹 Key Contributions & Impact • Designed and maintained scalable transformation layer using DBT Core → Standardized data modeling practices and improved maintainability • Re-architected legacy storefront transformation logic in DBT → Unified transformation pipelines and reduced technical debt • Built automated orchestration pipelines using Airflow + Astronomer Cosmos → Ensured consistent and reliable data updates across systems • Reduced execution time of critical report from 40 min to 20 min (50% improvement) → Refactored heavy UNION logic into modular DBT models • Migrated and optimized data flows between ClickHouse, Oracle, and MongoDB → Improved performance and cross-system consistency • Implemented CI/CD pipelines for DBT and Airflow using Git → Enabled automated model validation and controlled production deployments • Mentored analysts and BI developers on DBT modeling standards → Improved cross-team adoption of modern ELT practices • Contributed to redesign of data storage architecture → Introduced scalable and modular platform-oriented approach

🔹 Overview Contributed to the development and optimization of enterprise Data Warehouse (DWH) systems supporting banking analytics, reporting, and operational decision-making. Worked with both legacy ETL systems and modern orchestration tools during infrastructure evolution. 🔹 Key Contributions • Designed and optimized Data Warehouse structures for banking reporting and analytics • Developed and automated ETL pipelines integrating multiple internal banking systems • Implemented Apache Airflow for orchestration and scheduling of data workflows • Built analytical dashboards and reporting systems using SQL-based datasets • Supported core banking ABS systems (SQL / PL/SQL) • Deployed and maintained Linux-based data services 🔹 Achievements • Optimized DWH queries and data structures, improving overall reporting performance • Automated ETL workflows, reducing manual operational effort • Integrated heterogeneous data sources into centralized reporting architecture • Implemented Power BI dashboards enabling improved business visibility • Contributed to development of remote client identification system (OCR-based)