NAUMAN // OS

Principal Data Engineer

Experience

Principal data engineer with a career across data systems, operations, business analysis and university teaching, set out role by role.

Open in NaumanOS

Principal Data Engineer, MindFlex

Jan 2026 – Present

B2B data engineering consultancy delivering Python ELT pipelines, PostgreSQL and DuckDB analytical layers, Power BI dashboards, and Data Health Audits to UAE SME clients in F&B, logistics, and property.

  • ELT Architecture: Architect and deliver Python ELT pipelines consolidating 4-6 fragmented SME data sources into centralised PostgreSQL and DuckDB analytical layers, eliminating an average of 12 hours of weekly manual compilation per client engagement.
  • Data Quality: Execute Data Health Audits using ydata-profiling to systematically identify and remediate structural data quality issues, resolving schema anomalies and duplication errors affecting 30-40% of ingested historical records per dataset.
  • Business Intelligence: Design and deliver sector-specific Power BI dashboards processing 150,000+ monthly transaction records across the active client portfolio, synthesising fragmented POS, inventory, and accounting data into automated executive intelligence.

Data Systems & Operations Manager, Private Family Office

Apr 2022 – Oct 2025

Designed and operated proprietary offline-first data systems for a private multi-territory executive operation across 3.5 years, maintaining complete data sovereignty with zero third-party cloud dependencies.

  • Information Retrieval: Built a self-hosted reader for exported operational chat archives that parses iOS and Android exports without guessing a date or dropping a line, joins overlapping exports with line-level provenance, and opens 500,000 messages in under 5 seconds with full-history search in under half a second.
  • Contact Data Integrity: Built a loss-preserving contact data platform for VCF and CSV libraries that patches only edited properties into the original bytes, searches 100,000 contacts in the browser, and turns lost or concurrent writes into detected conflicts through revision-checked saves with exact backups.
  • Data Governance: Designed and enforced offline-first data governance standards across sensitive executive operations, maintaining complete data sovereignty with zero reliance on third-party cloud infrastructure.

Academic Tutor, The University of Sydney

Jul 2019 – Dec 2021

Delivered technical instruction to undergraduate cohorts in Object-Oriented Programming and Calculus, bridging abstract computational theory and applied engineering practice.

  • Technical Instruction: Translated abstract OOP and Calculus theory into applied algorithmic and data structure skills, building cohort-level competency in software design fundamentals.
  • Assessment Design: Designed rigorous analytical problem sets to evaluate data structure implementation and algorithmic efficiency, establishing systematic frameworks for technical competency assessment.
  • Code Review: Conducted structured code reviews providing actionable feedback on logic, efficiency, and correctness, training cohorts to write reliable and maintainable software against defined specifications.

Business Analyst, Birdi

Oct 2018 – Mar 2021

Served as the technical interface between engineering teams and enterprise stakeholders, contributing data architecture and financial modelling expertise to commercial submissions and product strategy.

  • Technical Architecture: Contributed technical architecture definitions and data migration feasibility assessments to a successful $1.2M NSW Spatial Services contract bid, translating complex spatial data requirements into a structured commercial framework.
  • Financial Modelling: Formulated data-driven financial models evaluating hardware integration costs and projected system loads, supporting pricing and scoping decisions across multiple contract submissions.
  • Market Analysis: Executed market data analysis and technical feasibility case studies to align core platform capabilities with enterprise spatial applications, directly informing product strategy across the fiscal year.

Business Analyst Intern, Fleet Space Technologies

Jun 2018 – Sep 2018

Directed technical proposal lifecycles and cross-functional coordination to support IoT infrastructure deployment across government and agricultural trial environments.

  • Technical Proposals: Authored the technical architecture sections of a Victorian Government IoT trial submission, synthesising hardware constraints, connectivity data, and deployment specifications into a coherent commercial proposal.
  • Technical Analysis: Conducted analysis of IoT connectivity constraints across four agricultural trial regions, quantifying Portal device deployment requirements and pricing models for the government submission.
  • Cross-functional Coordination: Coordinated technical information gathering across distributed engineering teams and managed liaison with a remote Philippines-based team, ensuring accurate specification alignment throughout the field trial.

Python Developer Intern, NCSOFT West

Jan 2017 – Jun 2017

Engineered Python-based data parsing middleware to extract, filter, and structure high-volume game server telemetry into analytically consumable datasets.

  • Data Parsing: Engineered Python parsing algorithms to extract and filter raw game server telemetry, transforming high-volume JSON event streams into structured, analytically consumable datasets.
  • Schema Design: Designed backend data schemas to standardise incoming telemetry structures, enabling reliable extraction and filtering of sensitive metadata from high-volume server event logs.
  • Pipeline Integrity: Deployed automated testing frameworks enforcing strict validation logic across real-time data pipelines, maintaining data integrity under sustained high-throughput ETL conditions.

Digital Solutions Engineer, Creative Graphics

Mar 2013 – Dec 2016

Managed the full technical lifecycle of business intelligence tools across a client portfolio spanning nearly four years, translating complex briefs into functional data architectures and executive reporting frameworks.

  • Data Visualisation: Transformed multi-year market research datasets into interactive dashboards and executive reporting frameworks, synthesising complex analytical outputs into stakeholder decision-making tools.
  • Data Architecture: Translated complex client briefs into functional data architectures, building digital products capable of ingesting, processing, and presenting dynamic operational datasets to stakeholder specification.
  • Stakeholder Strategy: Advised clients on data presentation strategy, defining reporting structures from undefined business requirements and aligning final deliverables to stakeholder decision-making frameworks.