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Data Engineer with 1+ years in ETL/ELT pipeline development and data warehousing.
Data Engineer with 2+ years of experience designing and delivering ETL/ELT pipelines, building data warehouse solutions, and working with structured data at scale. Strong foundation in SQL, Python, and Apache Airflow for orchestrating batch workflows. Hands-on experience transforming clinical and transactional data into reliable, analytics-ready formats using Medallion Architecture patterns (Bronze/Silver/Gold). Familiar with on-premises and hybrid data environments; additional exposure to cloud platforms (Azure, AWS) used as complementary tooling. Eager to contribute to DWH pipeline development, data quality engineering, and BI enablement in a regulated banking environment.
INHA University in Tashkent
Bachelor of Science · Computer Science
September 1, 2022 – June 29, 2026
Data Smart Solutions
Data Engineer (ETL & Healthcare Data)
April 1, 2026 – Present
Orlando, Florida, United States
Innowise LLC
Big Data Engineer (Apprenticeship)
January 1, 2026 – May 1, 2026
Warsaw, Masovian Voivodeship, Poland
Yandex Crowd Platform
External Data Evaluator
May 1, 2025 – January 1, 2026
Balashikha, Moscow Oblast, Russia
ShopStream360: Real-Time E-Commerce Data Platform
June 1, 2026 – Present
Built a full-stack data engineering platform simulating a real-time e-commerce environment: ingesting live clickstreams, joining with transactional data, and delivering business insights through BI dashboards — demonstrating end-to-end pipeline ownership from ingestion to reporting.
View ProjectReal-Time IoT Streaming Data Platform
June 1, 2026 – Present
Designed a real-time streaming pipeline simulating IoT sensor data (temperature, humidity), ingested via Kafka, processed with Spark Structured Streaming, and organized into a Medallion Architecture (Bronze → Silver → Gold) for scalable downstream analytics.
View ProjectSnowflake Data Engineering
Coursera
June 1, 2026 – Present
Google Data Analytics
Coursera
June 1, 2026 – Present
Mastering Azure Databricks for Data Engineers
Coursera
June 1, 2026 – Present
Microsoft Excel
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including real-time IoT streaming and e-commerce platforms, along with experience in healthcare data, demonstrates a broad interest and adaptability to different data domains. The apprenticeship at Innowise LLC and current role at Data Smart Solutions, combined with personal projects, show initiative and a proactive approach to skill development. The certifications further underscore a commitment to continuous learning and alignment with industry best practices, suggesting a good cultural fit for a dynamic and growth-oriented environment.
Soft Skills & Operational Fit
The candidate's experience in collaborating with cross-functional teams to resolve data quality issues and performing root-cause analysis indicates good problem-solving and teamwork skills. Participation in Agile sprints suggests an understanding of iterative development methodologies. The role as an External Data Evaluator also highlights attention to detail and a focus on data quality, which are crucial for operational excellence in data engineering.