Maaz Bin Ashraf

• Designed and managed ELV systems including CCTV, Access Control, structured Cabling, and Network
Infrastructure for commercial and enterprise projects.
• Developed and maintained data reporting dashboards for project monitoring, device health tracking,
and operational analytics.
• Configured and monitored surveillance systems, ensuring optimal coverage, reliability, and minimal
downtime.
• Collaborated with technical teams on ELV system integration, testing, commissioning, and
troubleshooting activities.
• Automated reporting and inventory tracking workflows using Python, saL, and Excel-based solutions.
• Coordinated with clients and project stakeholders for site surveys, system planning, and technical
documentafion.
• Supported real-time monitoring systems and centralized data management for security operations.
• Ensured compliance with project standards, safety procedures, and quality assurance requirements.

• Designed and maintained enterprise-grade ETL/ELT pipelines using Azure Data Factory, Databricks,
Apache Airflow, and PySpark.
• Developed scalable batch and streaming workflows processing high-volume enterprise datasets.
• Implemented Medallion Architecture (Bronze, Silver, Gold) for structured cloud data processing.
• Built automated data quality validation and monitoring systems improving reporting reliability.
• Optimized Spark transformation workloads and SQL queries for faster analytical processing.

• Managed live election trading datasets during the 2024 Indian General Elections.
• Built and maintained scalable ETL/ELT pipelines using Databricks, Airflow, and Azure Data Factory.
• Developed automated data ingestion frameworks for RBI, EV sales, EPFO, and YouTube analytics
datasets.
• Implemented DBT-based staging and mart layer architecture for data consistency.
• Developed dashboards and reporting solutions