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Mirza Asim Baig

Data Transformation Specialist @Southern Cross Austereo

Sydney, AU
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Dec 2024 — Present

Data Transformation Specialist @Southern Cross Austereo

Sydney, AU

Leading collaboration and stakeholder engagement, acting as the liaison between the Enterprise Apps team and business stakeholders, gathering requirements, prioritizing application enhancements, and ensuring alignment with organizational goals. Communicating regularly with leadership and stakeholders, as well as hosting feedback sessions. Managing and developing data pipelines, automating ETL processes, and ensuring data transformation, enrichment, and governance. Additionally, contributing to the enterprise data strategy, supporting analytics solutions, and ensuring compliance with security and regulatory standards.

EDUCATION

2007 — 2010

Karachi University

Bachelor of Science (BS), Computer Science

2014 — 2015

CQUniversity

Master’s Degree, Masters in Information Technology

SKILLS

XmlUbuntuDatabasesWcf ServicesRequirements GatheringPhpAccessJavaXmppOracleJoomlaWampC#.netOopOracle 11gSqlLinuxAsp.netVisual C#Microsoft C#AjaxAndroid DevelopmentRed Hat LinuxJ2meCssHtmlCrystal ReportsPythonMysqlMicrosoft Sql ServerAsp.ApacheWeb ServicesWindowsAsp.net AjaxEclipseWordpressMagentoC

ABOUT MIRZA ASIM BAIG

Senior Data Engineer and Data Consultant with 10+ years of experience delivering enterprise-scale data platforms, analytics solutions, and cloud integrations across media, finance, HR, and sales domains, with hands-on expertise in Microsoft Fabric–based modern data platforms, backed by Microsoft DP-700 Fabric Data Engineer certification. Certified Domo Data Specialist with deep expertise in designing modern data architectures, building reliable ETL/ELT pipelines, and translating business problems into actionable data solutions. Strong stakeholder engagement skills, proven record of leading end‑to‑end data transformation initiatives, and advising business leaders on data strategy, governance, and analytics adoption.

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