Kamron Rustamov
Kamron Rustamov

Senior Data Engineer

Actively looking · Member since 4 Sep 2026
Message
Location
Tashkent, Uzbekistan
Desired salary
Confidential
Work preference
Remote Only / Full Time
Experience level
Senior

About

Professional summary

I am a Senior Data Engineer and Technical Lead with over five years of commercial experience designing scalable data infrastructure, data warehouses, lakehouses, and ETL/ELT pipelines. I specialize in transforming complex business requirements into reliable, production-grade data platforms.

I have strong hands-on expertise in Python, SQL, PySpark, Pandas, Apache Spark, and modern data engineering practices. My experience includes building Medallion lakehouse architectures, dimensional models, star and snowflake schemas, analytics-ready data marts, and high-volume data processing solutions.

I work extensively with Microsoft Azure, including Azure Data Factory, OneLake, Synapse, Fabric, and Dataflow Gen2, while also delivering integrations across AWS and GCP. I have built robust ingestion systems for APIs, third-party sources, data scraping workflows, event-driven services, and heterogeneous operational databases.

I am experienced with relational and column-oriented databases including PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, ClickHouse, and MongoDB. I focus on data quality, observability, lineage, schema testing, incremental loading, performance optimization, and fault-tolerant pipeline design.

I have led cross-functional teams of data, backend, and BI engineers in Agile environments, managing architecture reviews, delivery planning, stakeholder communication, and technical prioritization. My domain experience includes FinTech, banking, investment analytics, risk reporting, and logistics platforms.

I am fully remote and aligned with UK and CET working hours. I am interested in senior and lead-level data engineering opportunities where I can own end-to-end platform delivery and help teams build scalable, maintainable data products.

Notice period: 1 week

Skills

35 capabilities

Tech stack & tools

Working toolkit

Experience

Career history

Technical Lead & Project Manager X-press Transportation

I own end-to-end delivery of the cloud data platform for a car shipping and logistics business. I define DWH and lakehouse architecture, data-quality standards, platform roadmaps, and scalable delivery plans aligned with business objectives.

I lead cross-functional data, backend, and BI engineering teams in an Agile/Scrum environment, including sprint planning, prioritization, architecture reviews, and code reviews. I also oversee reliability, observability, governance, Docker and Kubernetes deployments, and CI/CD workflows across Azure, AWS, and GCP.

Senior Data Engineer Nationwide Car Shipping & Logistics Platform

I designed an end-to-end Medallion lakehouse and DWH using Bronze, Silver, and Gold layers on Delta Lake and Parquet. The platform delivered analytics-ready datasets across multiple operational domains for business intelligence and reporting.

I built distributed PySpark transformations, dbt mart layers, schema tests, source freshness checks, and incremental models. I engineered fault-tolerant Azure Data Factory ETL/ELT pipelines for heterogeneous sources, third-party data integrations, AWS event ingestion, MongoDB Atlas capture, data validation, monitoring, and scalable containerized deployment through Docker, Kubernetes, GitHub Actions, and GitLab CI/CD.

Data Engineer / Data Analyst Maab

I designed analytical DWH structures and data marts for investment performance tracking, portfolio analytics, and risk assessment. I implemented lineage and schema testing practices to improve reliability of financial reporting datasets.

I optimized SQL and T-SQL data models through indexing, partitioning, and query refactoring to support low-latency reporting. I orchestrated cross-system ETL with Azure Data Factory, integrated market and internal data sources with daily refreshes and alerts, and delivered Power BI and Qlik dashboards for management and analysts.

Data Engineer Maab

I delivered end-to-end data engineering solutions for banking risk analysis and ATM utilization optimization, processing large-scale transactional data from core banking systems. I designed dimensional models and high-performance SQL datasets for BI, regulatory reporting, and operational analytics.

I built predictive models for ATM cash replenishment to reduce downtime and optimize cash-flow logistics. I collaborated with BI developers and analysts to prepare data models supporting Power BI, DOMO, and Tableau dashboards.

Education

Learning history
No education data available.

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