I am a Senior Analytics / Data Engineer with 7+ years of experience building data warehouses, data marts, and ETL pipelines for fintech, banking, and e-commerce.
I focus on the data layer, data modeling, and performance, and I have hands-on experience designing end-to-end analytics infrastructure that supports business decision-making at scale.
In my recent roles, I have owned data mart development for multiple business teams, integrated 10+ heterogeneous data sources, and delivered production-ready pipelines and datasets used by 500+ business users.
I work extensively with SQL, Airflow, Python, ClickHouse, and related data platform technologies, and I am comfortable optimizing reporting, automating workflows, and improving data reliability.
My background also includes banking and logistics analytics, migration projects, and BI engineering, which has helped me build a strong understanding of both technical implementation and business needs.
I am open to remote opportunities and interested in roles where I can continue building scalable analytics and data engineering solutions with a strong focus on quality and performance.
Own end-to-end data mart development for 10+ business teams and 500+ users, from source analysis to DWH modeling and production rollout. Design and build ETL pipelines using SQL, Airflow, and Python, integrating 10+ heterogeneous sources into the corporate DWH. Optimize reporting by restructuring data marts and queries, saving 40+ person-hours per week. Automate internal workflows using n8n.
Built end-to-end banking data marts from source systems to production-ready datasets using Teradata and Greenplum. Developed SQL and ETL workflows in SAS DIS and SAS Management Console. Supported migration from Teradata to Greenplum, improving performance and reducing licensing risks.
Built Vertica and MSSQL data marts and ETL pipelines in Airflow and Python for logistics. Created Tableau dashboards and reports on parcel returns and delivery KPIs to improve visibility and control over logistics performance.
Developed SSIS ETL workflows using MS SQL and Oracle, and SSAS OLAP cubes for key business KPIs. Optimized SQL and T-SQL jobs using SQL Agent, triggers, and cursors, reducing processing time and database load.
Maintained and improved an in-house Python web-scraping framework and stored parsed data in databases for downstream analytics.
B.Sc., Applied Mathematics and Computer Science
Bachelor's degree in Applied Mathematics and Computer Science.
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