Open to opportunities

Kamron Rustamov

@kamronrustamov

Senior Data Engineer building enterprise Lakehouse and DWH platforms with PySpark, Delta Lake, and Azure/Microsoft Fabric.

Uzbekistan

Message

What I'm looking for

I’m looking for a remote EU/UK role where I can build Lakehouse/DWH platforms end-to-end—owning ETL/ELT, distributed PySpark/Delta Lake engineering, and CI/CD—then collaborate closely with BI and business stakeholders in a regulated, high-impact environment.

I’m a Senior Data Engineer with 5+ years of hands-on experience designing and delivering enterprise-scale Lakehouse and DWH platforms, ETL/ELT pipelines, and distributed data processing solutions. I’ve spent 4 years working in the Microsoft Fabric ecosystem, with deep expertise in OneLake, PySpark, Delta Lake, and Medallion Architecture (Bronze/Silver/Gold) for analytical data mart design. I’ve built data infrastructure from scratch in regulated financial environments across banking, investment analytics, and risk platforms.

I’m at my best when I can take ownership end-to-end—turning heterogeneous data into fault-tolerant pipelines, optimized models, and reliable analytics. I’ve acted as a technical lead collaborating with engineering, DevOps, BI, and business stakeholders, and I’ve supported deployment and automation through CI/CD and DevOps tooling. I also bring practical BI delivery experience through Power BI, Tableau, and Qlik to ensure the work lands as usable insights.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Nationwide Car Shipping & Logistics Platform

Jan 2024 - Sep 2025 (1 year 8 months)

Designed and built an end-to-end Lakehouse using the Medallion pattern on Delta Lake, along with fault-tolerant ETL/ELT pipelines for heterogeneous data sources. Led data modeling, optimization for reporting workloads, and CI/CD automation for data warehouse schemas and pipeline code.

Lakehouse Medallion Architecture Delta Lake Parquet Pyspark ETL ELT Distributed Data Processing MS SQL Server T SQL Data Marts Indexing Partitioning CI CD Docker AWS GCP Power BI Airflow

Data Engineer / Data Analyst

MAAB

Feb 2022 - Nov 2023 (1 year 9 months)

Built and maintained a Lakehouse-style analytical platform using Databricks with layered medallion-style data processing. Developed dimensional models and low-latency SQL for BI consumption, integrating financial data via ETL/ELT pipelines and delivering Power BI and Qlik dashboards.

Databricks Pyspark Delta Lake Lakehouse Dimensional Models Data Marts Oracle PostgreSQL T SQL Pl SQL ETL ELT Kafka Power BI Qlik Django fastAPI Jira

Data Engineer

MAAB

Jan 2020 - Dec 2021 (1 year 11 months)

Delivered end-to-end data engineering solutions for banking risk analysis and ATM utilization optimization, processing large-scale transactional data using Hadoop HDFS and SQL-based pipelines. Designed optimized analytical datasets for BI and regulatory reporting and contributed to predictive modeling for ATM cash replenishment logistics.