About
Detail-oriented Data Analyst with extensive experience in data engineering and a proven ability to transform complex datasets into actionable insights. Equipped with strong skills in SQL, Python, and data visualization tools such as Power BI, having successfully implemented BI dashboards that improved decision-making processes. Achieved a 200% increase in dashboard delivery productivity by applying AI solutions. Committed to leveraging analytical skills to support data-driven strategies, enhancing operational efficiencies.
Skills & Expertise (18)
Work Experience
Data Engineer
VTI Group
Jan 2024 - Aug 2025
Developed and optimized a data warehouse exceeding 1TB on the Incorta platform, delivering high query performance and rapid data loading capabilities for reporting purposes. Authored and refined Spark SQL to manage complex transformation logic at the schema level, markedly reducing data loading latency. Engineered Business Schemas (Semantic Layer) to standardize business logic, enabling end-users to access automated and accurate daily reports efficiently. Oversaw the complete project lifecycle, including requirement gathering, schema design, SQL optimization, dashboard deployment, and creation of technical documentation. Maintained a rapid delivery pace of 3 to 5 days per dashboard, ensuring a quick response to evolving business requirements.
Data Engineer
EvoAI
Aug 2025 - Mar 2026
Designed and implemented Management Reporting Systems (BI Dashboards) to track user behavior metrics such as subscribers, active users, view duration, ticket revenue, and energy consumption for telecommunications customers. Standardized the Data Warehouse (DWH) utilizing the Kimball Schema on the Oracle platform, adeptly managing large data tables with daily volumes of 1–2 million records. Executed query performance optimizations through Partitioning and Indexing; developed PL/SQL Jobs to automate data cleansing and normalization processes (SCD Type 2). Developed Semantic Models on Power BI, optimizing measures using DAX and establishing relationships between tables effectively. Applied AI to streamline processes and automate coding, significantly reducing dashboard delivery time from three weeks to under one week, achieving a 200% increase in productivity.
Intern AWS Data Engineer
VTI Group
Aug 2023 - Dec 2023
Designed and managed a data warehouse on AWS Redshift, effectively processing inventory data for two retail systems with source tables containing 8–10 million records per dimension table and daily-updated fact tables. Standardized raw data into the Kimball schema combined with SCD Type 1 techniques, ensuring data consistency and reflecting real-time inventory statuses accurately. Built and operated automated daily batch data pipelines using Apache Airflow, ensuring low latency and high fault tolerance. Optimized query performance on Redshift by selecting appropriate Distribution Keys and Sort Keys for large-scale tables, achieving a 40% reduction in ETL processing time.
Education
Bachelor Degree, Computer Science - HAUI - HaNoi University of Industry
2021 - 2025 · Afghanistan
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Skills (18)
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