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Most data pipelines don’t fail because of code. They fail because they weren't built for scale. With 8+ years of experience engineering data systems at companies like Microsoft and Coreweave, I help businesses move away from "brittle prototypes" to production-grade, scalable infrastructure. I don’t just move data; I build the "Source of Truth" that leadership and AI systems actually trust. 💬What I Solve for You: Productionizing AI Pipelines: Hardening Python prototypes into scalable RAG and LLM infrastructures (AWS/Azure). ➔Infrastructure-as-Code: Building automated, modular ETL/ELT pipelines that don't require daily manual fixes. ➔The "One-Source" Dashboard: Integrating messy data from APIs, SaaS (Shopify, HubSpot), and DBs into clean Snowflake/BigQuery layers. ➔Performance Recovery: Optimizing slow SQL queries and high-cost cloud warehouses to save you thousands in monthly spend. 🛠 Tech Stack: Languages: Python (FastAPI, Pandas, PySpark), SQL Cloud & Warehousing: AWS (Glue, Lambda, S3), Snowflake, BigQuery, Azure Orchestration: Airflow, dbt, GitHub Actions Data Ops: API Integrations, Vector DBs, Data Validation ✅ Why Me? 8+ Years Experience: I’ve seen what breaks at the enterprise level and how to prevent it in your startup. Speed over Perfection: I focus on shipping high-impact systems that drive revenue, not just technical documentation. Transparent Communication: You get regular updates and a partner who challenges requirements to find better solutions. Ready to clean up your data debt? 📩 Message me for a FREE 15-minute technical consultation. Let’s discuss your architecture and see if I’m the right fit for your system.

Previous work has involved data analytics, SQL reporting, high-volume data pipelines, API development, data visualization, and ETL/ELT. My solutions emphasize reliability, efficiency, and simplicity. The databases and programming languages that I use most often are PostgreSQL, MongoDB, Redshift, Snowflake, BigQuery, MySQL, Python, and Node.js, but I have experience with others. For data visualization, I use Tableau and develop custom solutions.

Hi, I'm Owais. I've spent 7+ years building data systems across enterprise and startup environments. I've set up entire data platforms from end-to-end on AWS, Azure, and GCP, including in SOC 2 and HIPAA environments. I've built ETL pipelines that don't break at 3 AM, modeled warehouses that survive contact with real business logic, and shipped dashboards people actually open. These days I help growth-stage startups build analytics platforms around AI without bleeding money on it. Natural language to SQL, agents that surface insights instead of waiting to be asked, automated anomaly detection, the kind of features your customers are starting to expect. Most AI-in-analytics projects don't fail because the model isn't good enough. They fail because the foundation underneath it is a mess. A well-documented dbt project does more for AI accuracy than a bigger LLM, and if your dashboards aren't getting opened, adding AI on top doesn't change anything. If you're trying to build AI-powered analytics and want someone who's done the unglamorous work that makes it actually useful, let's talk.

Seasoned Data Engineering and Business Intelligence Professional with 6+ years experience. Full stack ETL 1. Setting up and administering data hosting with all major cloud service data warehouses: BigQuery, Snowflake, Redshift, Databricks. 2. Extraction with custom API Queries, or tools such as Fivetran, Airbyte, Estuary, Singer. 3. SQL and Python Transformation with DBT Core, Domo, or in database. 4. Analysis and visualization in Power BI, IBM Cognos, Tableau, Domo, Looker Studio, Datorama, Mode, and others.

✅ 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. 𝗢𝗻𝗲 𝗥𝗲𝗰𝗲𝗻𝘁 𝗖𝗹𝗶𝗲𝗻𝘁 𝗢𝘂𝘁𝗰𝗼𝗺𝗲 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 🛒 $30M+ Ecommerce Group (Snowflake, dbt, Fivetran & Tableau) • Outcome: Saved 36 hours per week, increased profitability by 9%, and improved return on ad spend by 14%. • Deliverable: Built a Snowflake and dbt data warehouse integrating 11 systems, including Shopify, Amazon, advertising platforms, fulfillment, accounting, and customer marketing data, then delivered 5 operating dashboards. 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗱𝗼 𝗳𝗼𝗿 𝘆𝗼𝘂: ✅ Data engineering and data pipeline development using Snowflake, Google BigQuery, SQL, Python, dbt, APIs, Fivetran, AWS, and Microsoft Fabric ✅ Snowflake and Google BigQuery data warehouse architecture, implementation, optimization, security, and production support ✅ ETL and ELT pipelines, API data integration, scheduled ingestion, transformation logic, and historical data tracking ✅ dbt models, testing, documentation, source staging, business logic, and curated reporting layers ✅ Data analytics, KPI design, customer analytics, profitability analysis, operational reporting, and executive decision support ✅ Power BI, Tableau, and Sigma dashboards connected to trusted warehouse and semantic-model foundations ✅ Data cleaning, validation, reconciliation, migration, fuzzy matching, and reporting-quality improvements ✅ Ecommerce data integration across Shopify, Amazon, advertising, fulfillment, accounting, and customer platforms ✅ Ongoing data engineering, analytics engineering, dashboard support, and reporting-system maintenance 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘁𝗿𝘂𝘀𝘁 𝗺𝗲: • Certified in Snowflake, Tableau, Power BI, and ThoughtSpot • Hands-on experience building data pipelines and analytics systems across datasets ranging from messy operational exports to more than 100 million transactions • Strong business background, which helps me connect data engineering and data analytics work to profitability, efficiency, growth, and better decisions If you need reliable data engineering, cleaner data pipelines, or data analytics your team can actually use, let’s connect. 📞 𝗜𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 𝗼𝗿 𝘀𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗱𝗶𝗿𝗲𝗰𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘁𝗼 𝗯𝗼𝗼𝗸 𝗮 𝗰𝗼𝗺𝗽𝗹𝗶𝗺𝗲𝗻𝘁𝗮𝗿𝘆 𝗰𝗮𝗹𝗹. Linus Tse

I’m a Data Engineer specializing in building reliable data pipelines, SQL‑based transformations, and cloud‑ready data warehouse solutions. I work with businesses to turn raw data into clean, structured, analytics‑ready datasets that support real decision‑making. My experience includes designing star‑schema warehouses, developing ETL workflows, optimizing SQL queries, and ensuring data quality across the pipeline. I’ve completed hands‑on projects such as an end‑to‑end SQL data warehouse for retail analytics, and I hold the Google Data Analytics Certificate. I focus on clean engineering, clear communication, and delivering solutions that scale with your data needs.