SQL & data warehousing
Designing reliable data flows, warehouse models and SQL-based reporting foundations for enterprise use.
Data Engineering · SQL · Python · Analytics
Reliable data platforms, clear metrics and decision-ready analytics.
I’m Timo Rautio, a Data Engineer and ICT Project Manager building reliable data flows, warehouse models and reporting foundations that help teams understand what their numbers mean and make better decisions.
My experience combines SQL, Python, enterprise data warehousing, ETL, data quality, business reporting and technical delivery. This site brings together professional experience and self-directed projects in data platforms, analytics and automation.
Data engineering capabilities
01 / CapabilitiesData quality & metric definitions
Investigating discrepancies, clarifying what metrics mean and turning operational data into trusted decision support.
Python data pipelines
Building maintainable ETL workflows with Python, incremental loading, validation and clear operational documentation.
Reporting & technical delivery
Connecting data engineering with business needs through reporting, stakeholder alignment, requirements and dependable delivery.
Selected data engineering and analytics work
Home Assistant Data ETL Pipeline to Cloud PostgreSQL
A Python ETL pipeline that transfers numeric Home Assistant sensor history from a self-hosted PostgreSQL database to a cloud warehouse.
Problem
Needed to keep Home Assistant local while making selected historical sensor data available for cloud-based reporting and analysis.
Solution
Built a scheduled Python pipeline that extracts new numeric sensor states incrementally, transfers them through an SSH tunnel, and loads a Bronze/Silver/Gold PostgreSQL warehouse with run and step monitoring.
Technologies
Python · PostgreSQL · SSH · psycopg · Medallion · Bronze/Silver/Gold · cron
My role / learnings
Data pipeline designer & implementer. Incremental boundaries, transaction handling, monitoring, and explicit cleanup make even a small ETL job reliable and recoverable.
Finnish Postal Area Sales Analysis and Mapping
A Jupyter Notebook workflow for combining Finnish geographic data with sales data and interactive maps.
Problem
Needed to combine geographic postal area data with municipality information and visualize sales across Finnish regions.
Solution
Built a Jupyter Notebook that retrieves geographic and municipality data from Statistics Finland, generates and aggregates sales data, exports results to Excel, and creates interactive Folium maps by postal area and municipality.
Technologies
Python · Jupyter · Pandas · GeoPandas · Folium · Statistics Finland APIs
My role / learnings
Data analyst & visualization developer. Combining geographic data with business metrics makes regional patterns easier to explore, communicate, and validate.
Data Quality Analysis Tool
A Python-based tool for profiling CSV and Excel datasets, surfacing quality metrics, distributions, correlations and categorical patterns.
Problem
Needed a repeatable way to understand dataset structure and identify practical data quality issues before analysis or reporting.
Solution
Built a profiling workflow with pandas, NumPy, Seaborn and Matplotlib, supported by an AI-assisted analysis process that turns findings into strategic and operational data quality insights.
Technologies
Python · Pandas · NumPy · Seaborn · Matplotlib · Data profiling
My role / learnings
Data quality analysis designer & implementer. Combining automated profiling with critical human review makes data quality findings more useful for operational decisions.
Reliable analytics starts with data systems, processes and documentation that people can trust.
03 / Get in touch
Need structure for a data or ICT project?
If you are looking for experience in ICT project delivery, data warehousing, reporting, analytics or process development, I would be glad to discuss the opportunity.