03 / Background

Timo Rautio — Turning complex data and development into clear, usable solutions.

Growth-minded ICT professional combining data analytics, data warehousing, process development, and project leadership. I help organizations turn complex requirements, fragmented data, and unclear processes into structured, reliable, and maintainable solutions.

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Timeline

Experience

2023-

ICT Project Manager, EDW & Reporting

Finnish Customs

Manage data-focused development projects end-to-end in a high-security environment. Coordinate stakeholders, scope, timelines, risks, requirements, and documentation while guiding both internal and external developers.

Maintain and develop the enterprise data warehouse, including data flows, ETL, data quality, data modeling, reporting, and lifecycle management. Improve reporting usability and support structured, data-driven decision-making.

Guided a team-level transition from a waterfall model towards a SAFe-inspired way of working, improving transparency, workload management, collaboration, throughput, and development cadence.

2010-2023

ICT Specialist

Taitonetti Oy / Nuvoo Oy

Developed and maintained ERP-supported business processes, including the implementation and development of an Odoo ERP system. Owned process design, configuration, rollout, user training, and alignment between business needs and system capabilities.

Designed scalable device processing, warehouse management, and internal logistics processes. Developed a Python-based data pipeline to transform Blancco XML outputs into structured, ERP-integrated data with consistent traceability and auditability.

Worked with B2B and B2C customers in Finnish, Swedish, and English across sales, support, maintenance, and service operations.

Education

Learning

2022-2024

Master of Business Administration

OAMK

Data Analytics and Project Management.

2011-2016

Bachelor of Business Administration

OAMK

Information Technology and Web Application Development.

2025

Customs Sector Basic Training, TPK E

Finnish Customs

2023

IBM Data Warehouse Engineer Professional Certificate

Coursera

2022

Data Analytics and Predictive Analytics

Xamk & Haaga-Helia University of Applied Sciences

Data analytics for business development and decision support.

Toolkit

Skills

Data & Warehousing

Data architecture
Data modeling
Master data
SQL
ETL / ELT
Data pipelines
SSIS
Apache Airflow
Enterprise data warehouses
On-prem environments

Analytics & BI

Power BI
DAX
Reporting
Data analytics
Data visualization
Predictive analytics
Decision support
Self-service BI
Plotly
Seaborn
Matplotlib
Streamlit

Governance & Delivery

Data governance
Data quality
Data lifecycle management
Metadata and traceability
Information security
Requirements specification
Risk assessment
ICT project management
Procurement processes
SAFe / Agile-inspired development

Development & Collaboration

Python
Pandas
NumPy
Machine learning
Odoo
ERP development
Jira
Confluence
Facilitation
Technical documentation
Stakeholder alignment

Selected practical work

Projects

Data quality

Data quality analysis tool

Python-based tool for analyzing CSV and Excel datasets, including structure, distributions, quality metrics, correlations, and categorical variables.

Combines pandas, NumPy, Seaborn, Matplotlib, and an AI-assisted analysis workflow to produce practical strategic and operational data quality insights.

Visualization

Interactive location analytics

Python-based map visualization combining Statistics Finland geospatial data with sales data to create interactive heatmap views.

Built with GeoPandas and Plotly to support exploration of spatial patterns and clearer data-driven decision-making.

Core strengths

Approach

Clear communication, empathy, analytical thinking, adaptability, structured facilitation, rapid learning, and ownership of complex challenges. I enjoy acting as a bridge between technical and non-technical stakeholders and creating clarity through practical solutions, strong documentation, and continuous improvement.