Muhammad Talha

Data Engineer & Consultant

Freelance

Dec 2022 - Present • 3 yrs 5 mos

• Architected end-to-end data platforms spanning ingestion, transformation, and presentation layers for clients in finance, healthcare, retail, and operations delivering production-grade pipelines from day one. • Designed and maintained batch ETL/ELT pipelines consolidating data from REST APIs, flat files, and enterprise systems into unified cloud data warehouses, improving cross-functional reporting reliability and timeliness. • Built executive-facing BI dashboards and decision-support systems in Power BI and Looker Studio, enabling daily operational monitoring and strategic review for senior stakeholders. • Delivered forecasting models, KPI reporting frameworks, and operational optimization solutions that accelerated decision cycles and provided measurable visibility into business performance. • Automated recurring reporting and data workflows, eliminating manual processing bottlenecks and significantly reducing reporting lead times across client environments. • Led data profiling and quality initiatives resolving upstream data issues, standardizing metric definitions, and establishing clear data contracts, increasing stakeholder trust in analytics outputs. • Implemented data governance and audit reporting frameworks ensuring complete traceability from raw source to final report, supporting compliance, audit, and regulatory requirements.

Data Engineer

IAC Expert

Mar 2023 - Apr 2024 • 1 yr 1 mo

• Collaborated with the data architect to establish enterprise-wide governance practices, documenting complete end-to-end data lineage using Erwin Data Modeler across all major data domains. • Designed dimensional data models (star and snowflake schemas) that standardised analytics definitions and enabled consistent, reusable reporting across the enterprise. • Developed and maintained ETL pipelines integrating multiple enterprise source systems, improving data availability and reducing integration failures through structured testing and validation. • Tuned pipeline performance and introduced systematic testing protocols, reducing data incidents and improving SLA adherence for downstream analytics consumers. • Delivered interactive Power BI dashboards consumed by operational teams and senior management for real-time monitoring, reducing ad hoc reporting requests by standardizing self-service analytics.