Engineering reliable data infrastructure, event-driven pipelines, and automation-driven SQL systems.
Designing resilient data systems with a focus on data quality, traceability, and operational reliability.
- Problem-solver, meticulous and improvement-driven. I listen more than I speak; when I do, I aim for clarity and precision.
- 20+ years designing, optimizing, and supporting SQL-based data systems, ETL workflows, and operational data processes.
- Passionate about clean, scalable solutions that make systems “one second faster.”
- Recently completed a Data Analyst Bootcamp (TripleTen) and currently expanding into cloud-native Data Engineering practices.
- Building Azure-based event-driven data pipelines using Medallion Architecture.
- Developing a production-oriented SQL Server Backup & Recovery Automation Framework.
- Strengthening cloud-native Data Engineering practices with Python, Azure Functions, Event Hub, and Data Lake Storage.
Hands-on Azure Data Engineering project implementing an event-driven pipeline using Azure Event Hub, Azure Functions, Azure Data Lake Gen2, and Medallion Architecture.
The project demonstrates real-time ingestion, progressive data validation, stateful modeling through current_orders, and batch aggregation into business-ready Gold metrics.
Production-oriented Backup & Recovery framework for SQL Server environments.
The project automates backup orchestration, restore-chain construction, restore validation, and point-in-time recovery testing, focusing on reliability, traceability, and operational resilience.
3. CallMeMaybe
Telecom analytics project focused on user behavior analysis over a large-scale event dataset.
The project includes data ingestion, transformation, feature engineering, and modeling to extract insights from telecom user activity.
- Energy Multimarket Dashboard — Exploratory dashboard analyzing Brent vs WTI oil price differentials using automated ETL workflows.
- Open to Data Engineering opportunities involving scalable SQL systems, ETL automation, event-driven pipelines, and reliable data infrastructure.
- If you want to discuss performance tuning, ETL workflow automation, restore validation strategies, or production-grade data systems, ping me on LinkedIn or email.