
Data Engineering Manager with 9+ years of experience across PwC and Deloitte, specializing in audit-ready cloud data platforms, ITGC/SOX analytics, and large-scale ETL automation in regulated environments. Strong hands-on expertise in Python, SQL, Apache Spark, Databricks, and Azure DevOps, with proven ability to translate risk and control objectives into scalable lakehouse architectures. Experienced people leader delivering compliance-aligned analytics, RPA solutions, and GenAI-assisted automation while meeting governance and audit standards. Open to UAE relocation.
• Lead ITGC and SOX data engineering workstreams supporting multi-client audit and risk engagements.
• Own solution architecture and technical decision-making for audit-ready data platforms built on Databricks and Azure.
• Translate risk and control requirements into scalable data models and pipelines, improving traceability and audit readiness.
• Review and mentor a team of data engineers, ensuring data quality, performance optimization, and compliance alignment.
• Drive standardization and reuse of ETL frameworks and validation utilities across engagements.
• Lead GenAI experimentation for document review and audit evidence analysis within governance boundaries.
• Designed and delivered cloud-native ETL pipelines using Python, SQL, and Spark to support ITGC and SOX analytics.
• Built audit-ready lakehouse architectures with embedded validation, reconciliation, and control checks.
• Automated data ingestion and transformation workflows, reducing manual audit preparation effort by ~25–30%.
• Developed reusable Python utilities for data quality checks, evidence preparation, and reporting.
• Supported global audit teams across multiple engagements, ensuring timely, accurate, and compliant data delivery.
• Collaborated with stakeholders across risk, audit, and technology teams to align analytics with control objectives.
• Led requirement gathering and solution design for enterprise automation initiatives.
• Designed and deployed RPA solutions using UiPath and Automation Anywhere across business-critical processes.
• Built Python-based automation utilities using OpenPyXL, BeautifulSoup, and PyPDF.
• Automated interactions with Mainframe, Fantom, Outlook, Foxit, web applications, and internal systems.
• Deployed and orchestrated solutions on virtual machines via Azure DevOps pipelines.
• Supported risk, compliance, independence validation, cyber & PII assessments, and data center migration programs.
• Maintained structured datasets in MySQL and produced audit-ready technical documentation.
• Developed and deployed 5+ automation bots for business-critical processes.
• Collaborated with project managers to define delivery milestones and timelines.
• Introduced Agile practices, improving delivery predictability and team efficiency.
• Documented reusable automation frameworks and deployment scripts.
TECHNICAL SKILLS
Data Engineering & Platforms
Databases & Performance
Automation & Engineering
Cloud & DevOps
BI & Data Consumption
Emerging Technologies
SOFT SKILLS
Ways of Working & Leadership
• Banking & Financial Services
• Consulting & Professional Services
• Risk, Compliance & Audit Analytics
• Regulated enterprise environments