About Me
Analytical and technically proficient professional with a solid foundation in data engineering, ETL/ELT systems, and end-to-end data
analysis workflows. Specializes in building scalable, high-performance data platforms u…
Analytical and technically proficient professional with a solid foundation in data engineering, ETL/ELT systems, and end-to-end data
analysis workflows. Specializes in building scalable, high-performance data platforms using Azure services and modern data tools
▪ Experienced in developing robust data pipelines, warehousing solutions, and business intelligence dashboards. Adept at using Azure
Data Factory, Azure Databricks, SQL, Python, and PySpark to streamline workflows and support data-driven decisions
▪ Task-focused individual, known for a proactive mindset, attention to detail, and commitment to data integrity, system optimization, and
clear communication. Expert at transforming raw data into actionable insights that support strategic planning, operational efficiency,
and business impact
Experience
Fibric Data Engineer
Successfully leading comprehensive data engineering initiatives, managing the entire lifecycle from ingestion and transformation to loading and performance monitoring
Developing and maintaining scalable data pipelines, ensuring accuracy, consistency, and timely availability of data across systems
Centralizing data from multiple sources into structured warehouses to support analytics, reporting, and business intelligence efforts
Creating interactive Power BI dashboards to provide stakeholders with real-time insights and support strategic decision-making
Enhancing data workflows through continuous optimization, resulting in improved efficiency, data integrity, and system reliability
Fibric Data Engineer
Successfully leading comprehensive data engineering initiatives, managing the entire lifecycle from ingestion and transformation to loading and performance monitoring, Developing and maintaining scalable data pipelines, ensuring accuracy, consistency, and timely availability of data across systems. Centralizing data from multiple sources into structured warehouses to support analytics, reporting, and business intelligence efforts, Creating interactive Power BI dashboards to provide stakeholders with real-time insights and support strategic decision-making. Enhancing data workflows through continuous optimization, resulting in improved efficiency, data integrity, and system reliability