Linus T.

✅ 𝗪𝗼𝗿𝗸𝗲𝗱 𝗪𝗶𝘁𝗵: 𝗧𝗵𝗲 𝗛𝗼𝗺𝗲 𝗗𝗲𝗽𝗼𝘁, 𝗖𝗵𝗶𝗰𝗸-𝗳𝗶𝗹-𝗔, 𝗕𝗼𝘀𝘁𝗼𝗻 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽
🇺🇸 𝗨𝗦 𝗠𝗮𝗿𝗸𝗲𝘁 𝗖𝗹𝗶𝗲𝗻𝘁 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻
⌚ 𝗦𝗮𝗺𝗲-𝗗𝗮𝘆 𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗧𝗶𝗺𝗲, 𝗠𝗼𝗻𝗱𝗮𝘆 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝗙𝗿𝗶𝗱𝗮𝘆
⌛ 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗦𝗮𝘃𝗲 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝟭𝟮+ 𝗛𝗼𝘂𝗿𝘀 𝗣𝗲𝗿 𝗪𝗲𝗲𝗸 𝗢𝗻 𝗔𝘃𝗲𝗿𝗮𝗴𝗲
🎯 $𝟮𝗠+ 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱. 𝟭𝟬𝟬𝗠+ 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗔𝗻𝗮𝗹𝘆𝘇𝗲𝗱
☑️ 𝗪𝗼𝗿𝗸 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝗢𝗻-𝗧𝗶𝗺𝗲 𝗘𝘃𝗲𝗿𝘆-𝗧𝗶𝗺𝗲
🏅 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜, 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 & 𝗦𝗶𝗴𝗺𝗮 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱

Hi, I’m Linus, and I help US-based SMBs turn messy, disconnected data into reliable data pipelines and reporting, so leadership can get accurate answers without chasing spreadsheets or rebuilding reports every week.

I specialize in data engineering and data analytics using Snowflake, Google BigQuery, dbt, SQL, Python, Fivetran, AWS, Microsoft Fabric, Power BI, Tableau, Sigma, and APIs.

I build the complete path from raw source data to usable business reporting: data ingestion, ETL and ELT pipelines, warehouse architecture, data modeling, transformations, validation, semantic layers, dashboards, and recurring reporting.

My data engineering work focuses on creating reliable systems that can be maintained and trusted. My data analytics work focuses on giving leadership clear answers about profitability, customers, operations, marketing, sales, and performance.

𝗪𝗲’𝗹𝗹 𝗴𝗲𝘁 𝗮𝗹𝗼𝗻𝗴 𝗴𝗿𝗲𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂 𝘃𝗮𝗹𝘂𝗲…
✅ Reliable data pipelines instead of fragile manual exports
✅ Clear estimates and transparent communication
✅ Data models and business metrics your team can understand and audit
✅ Data analytics that helps you find revenue opportunities, control costs, and catch operational problems sooner

𝗪𝗵𝘆 𝘆𝗼𝘂 𝗺𝗮𝘆 𝗲𝗻𝗷𝗼𝘆 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗺𝗲 𝗼𝘃𝗲𝗿 𝗺𝘆 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿𝘀:
• I’ll tell you what’s feasible, what isn’t, and share realistic timing.
• I can work across the full data stack, from APIs, SQL, Python, and dbt through Snowflake, Google BigQuery, Power BI, Tableau, and Sigma.
• I’ve worked with Fortune 500 analytics teams and hands-on SMB operators, so I can translate technical data engineering work into clear business outcomes. • I build around data quality, maintainability, documentation, and reporting people can actually trust.