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.

Key concepts: Azure Functions, Event Hub, ADLS Gen2, Medallion Architecture, JSON data lake, snapshot modeling, batch aggregation.

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.

Key concepts: SQL Server, backup chains, restore validation, PITR, RPO/RTO, automation, data reliability.

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.

Key concepts: data analysis, ETL, feature engineering, event data, telecom analytics.

• 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.