Senior Data Engineer & BI Architect | Power BI, Snowflake, Data Platforms | Founder @ Datavision 🚀 Senior Data Engineer & BI Architect I operate under my consulting brand Datavision, focused on building scalable data platforms and high-performance BI solutions. I help companies transform complex data into scalable, production-ready analytics platforms. With 12+ years of experience across retail, industrial, and enterprise environments, I design and optimize modern data stacks using: • Snowflake • Databricks • dbt (modular & incremental modeling) • Airflow (orchestration) • Azure Data Factory • Power BI & Semantic Models 🔹 I specialize in medallion architectures (Raw → Silver → Gold) 🔹 I build production-grade ETL/ELT pipelines 🔹 I optimize performance & cost in cloud data platforms 🔹 I implement CI/CD for analytics workflows Recently worked with large European companies delivering scalable cloud data platforms and business-critical dashboards. If you need: ✔ A clean, scalable data architecture ✔ Optimization of slow pipelines ✔ A robust BI layer built properly ✔ Governance & best practices Let’s build it the right way.

⚡ Free fix plan first → Send me the one pipeline that keeps breaking or the warehouse bill that keeps climbing, and I will send back a clear fix plan within 24 hours. No connect spent, no call needed, no payment to start. I build and fix data pipelines, warehouses, and AI agents for founders and data teams whose data is scattered across CRMs, APIs, and databases. ━━━━━━━━━━━━━━━━━━━━━ ▸ Warehouses → Snowflake, BigQuery, Redshift, PostgreSQL. Design, migration, query tuning, cost reduction. ▸ Pipelines & Orchestration → Python, dbt, Apache Airflow, DAGs, ELT/ETL design, Fivetran, Stitch, incremental loads, failure handling. ▸ Cloud & Infra → AWS, S3, Lambda, EC2, Elasticsearch, clustering for large-scale loads. ▸ Integrations → REST APIs, Salesforce, Facebook Graph API, Amazon SP-API, SFTP, Moxy CRM, PayLink, Talk Desk. ▸ Web Scraping at Scale → Scrapy, Selenium, Zyte, rotating proxies, multi-threading, millions of requests at high success rates. ▸ AI Agents → RAG systems, document intelligence, multi-agent workflows, LangGraph, tool-calling agents built on your own data. ▸ Voice AI → Voice agents and receptionists, speech-to-text and text-to-speech pipelines, call routing and booking flows. ▸ Analytics & BI → SQL modeling, near real-time dashboards, metric layers, data quality checks. ━━━━━━━━━━━━━━━━━━━━━ ✓ Google Certified Professional Data Engineer ✓ MS, Georgia Tech (Fulbright Scholar) ✓ 8+ years · 130+ Upwork reviews · Top Rated → Message me with your current stack and the report, pipeline, or agent costing you the most time each week. I will reply with the fix plan. We do not need a call to start. Thanks Usman A.

AI & Data Solutions for Your Business We are a small, focused team of AI, Software Engineers and data engineers helping small and medium-sized businesses turn data into measurable business results, not experiments. Our mission is simple: use AI and data to save you time, reduce costs, and improve decision better. Whether you’re struggling with messy data, manual processes, or lack of visibility into your business performance, we design and deliver production-ready solutions that actually work in real environments. What We Do Best Snowflake Data Warehousing And Microsoft Fabric Design, optimize, and manage Snowflake environments and end to end pipelines for performance, secure data flow, and cost efficiency. ETL / ELT Pipeline Development Build automated, fault-tolerant pipelines that ingest data from multiple sources and keep it accurate, fresh, and consistent. Data Modeling & Analytics Create well-structured data models and analytics layers that power dashboards, KPIs, and business reporting. Data Automation & Flutter Applications Automate data workflows using modern tools so reports, alerts, and transformations run reliably without manual intervention. Build Flutter applications for reporting, startup and business as anytime available tool Business Intelligence & Insights Turn raw data into clear insights through executive-ready dashboards and analysis that support real business decisions. Why Work With Us Small, senior-led team - direct communication and fast execution Production-first mindset - pipelines built for reliability, monitoring, and scale Business-driven analytics - we define KPIs that actually matter to your business Modern data stack expertise - Snowflake, cloud platforms, orchestration, automation We bridge the gap between data science ideas and real-world, production-ready AI systems.

With 17+ years of Business Intelligence and Data Warehousing industry experience, a 'Microsoft Certified Azure Data Engineer' and ‘TOP RATED PLUS' Business Intelligence Consultant on Upwork for 3 years in a row. I have a tremendous BI and Data Warehousing experience working at some of the Top Fortune Technology and Manufacturing Companies of the World. I enjoy working with data analytics and developing robust BI solutions for companies to enhance their business decisions making. I have completed various end-to-end BI projects with high volume data, complex reporting requirements, presenting them visually as story-telling insights. - 17+ Years of experience with ETL, Data modelling, Data Analytics and BI Reporting using different BI tools like POWERBI, Microsoft BI Stack (MS SQL Server, SSIS, SSAS, SSRS), Azure Synapse Analytics, DBT, Snowflake, SAP Business Objects, SAP Netweaver BW and Board BI. - 17+ Years of experience in designing dimensional models and data warehouse solutions architecture, developing and implementing ETL solutions to extract, transform and load data into data warehouses and data marts.

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous agents built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.

I help companies increase revenue and automate processes with the power of data science and AI. I'm a full-stack data scientist with a wealth of expertise in machine learning, NLP, Generative AI (ChatGPT, LLMs), data engineering, and analytics engineering. I can also help drive strategy and manage your data team. My previous experiences include creating and managing end-to-end data pipelines powering AI & ML products at the WHO and venture-backed startups. I can help you: 💡 Ideate on how to integrate the latest AI & ML techniques (e.g., ChatGPT) into your products and services 🤖 Build ML and NLP models on your custom data 🔧 Set up robust data and analytics pipelines using modern tooling (dbt, Fivetran, Dagster) and software engineering best practices 🏷️ Build in-house data annotation and labeling pipelines to power your custom AI models ☁️ Deploy AI models and manage related cloud infrastructure in a cost-effective manner 🎓 Mentor your existing teams on how to use MLOps and DataOps tooling to supercharge productivity I have a bachelor's in physics and a master's in data science and analytics from Georgia Tech. ________________________________________________________________________________ My toolkit includes: 🧠 Generative AI — LLMs, OpenAI ChatGPT, Gemini, Anthropic Claude, Chatbots, Retrieval Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, PyTorch, TensorFlow, Hugging Face, LangChain, LLaMA, Gemma ⚙️ Data Engineering — dbt, Dagster, Airflow, Prefect, API Integration, ETL/ELT Pipelines, Fivetran, Airbyte, Meltano, dlt, BigQuery, Redshift, Snowflake, DuckDB, Postgres, MySQL, Cube, dbt Semantic Layer 🔬 Data Science & Machine Learning — Natural Language Processing, Classification, Clustering, Regression, Unsupervised Learning, Topic Modeling, Churn Prediction, Jupyter Notebooks, Prodigy, Spacy, Mephisto, Dataset Creation, Scikit-Learn (sklearn), NumPy, SciPy, Polars, Pandas, CuPy 📊 Data Visualization — Tableau, Looker, Omni, Lightdash, QuickSight, Hex, Deepnote, Plotly, Dash, Seaborn, Matplotlib, ggplot, Hvplot, Altair, d3.js ☁️Cloud & DevOps— Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, Docker, CI/CD, Lambda Labs, Coreweave, RunPod, Banana.dev, SkyPilot 💻 Programming Languages — Python, R, SQL, JavaScript, Scala 🤖 Process Automation —Make, Zapier, n8n, Airtable

I am a skilled Data Analyst with expertise in Tableau and SQL for data modeling in BigQuery and Snowflake. I create clear, interactive dashboards and improve data processes to help businesses make better decisions. Let me help you turn your data into valuable insights!

What if your data could finally tell the story you need to hear? What if those numbers turned into insights that drive your growth? Imagine transforming your results and completely revolutionizing your decision-making with actionable insights. If you’re reading this, you’re seeking analytics expertise to unlock the power of your data. I’m Khawaja Abdul Ahad, a certified data scientist with over 4 years of experience, dedicated to helping businesses—from startups to million-dollar enterprises—turn raw data into a strategic roadmap for success. If you’re looking for someone who knows how to deliver impactful results, let’s talk! If you’re tired of: 1) Spending hours on reports that don’t deliver. 2) Struggling to make sense of your data. Then I can help. Whether it’s building custom BI dashboards, performing deep analysis or developing predictive models, I’ve got you covered. 𝗪𝗛𝗢 𝗜𝗦 𝗧𝗛𝗜𝗦 𝗙𝗢𝗥? This service is perfect for you if: 🏅 You need data-driven decisions to power your business strategy. 🏅 You want insightful BI dashboards or custom reports. 🏅 You understand the value of turning raw data into actionable insights. 🏅 You’re ready to predict future trends with AI/ML models. It’s not for you if: 🔸 You expect instant miracles without clear business goals. 🔸 You don’t value data-driven decision-making. 🔸 You’re looking for someone to pull numbers without context. If that resonates with you and you’re ready to unlock the true potential of your data, let’s chat! 𝗛𝗢𝗪 𝗖𝗔𝗡 𝗜 𝗛𝗘𝗟𝗣 𝗬𝗢𝗨? Here’s what I can do: ✔️ Machine Learning / Deep Learning Pipelines: Build and deploy sophisticated models that learn from your data. ✔️ Data Analysis and Visualization: Transform data into clear, actionable insights through effective visual storytelling. ✔️ Predictive Modeling: Utilize advanced techniques to forecast trends and inform your strategic decisions. ✔️ Data Mining: Extract valuable information from large datasets to uncover hidden patterns. ✔️ Recommendation Engine: Create personalized recommendations to enhance user experiences and drive engagement. ✔️ Sentiment and Statistical Analysis: Analyze qualitative data to understand trends and customer sentiment. ✔️ Time Series Analysis: Provide insights into temporal data to support forecasting and anomaly detection. ✔️ ETL Architecture: Design efficient processes for extracting, transforming, and loading data into your systems. ✔️ Natural Language Processing (NLP): Develop algorithms that understand and interpret human language. ✔️ Web Scraping: Gather data from websites to feed your analytics and decision-making processes. ✔️ Cloud Solutions: Leverage cloud technologies to optimize data storage and processing. Let’s start by identifying the service you need. Message me! 𝗪𝗛𝗢 𝗔𝗠 𝗜? I’m a passionate data enthusiast who believes in the transformative power of data. With over 4 years of experience, I specialize in data visualization and advanced analysis to drive success for my clients. 𝗠𝗬 𝗣𝗥𝗢𝗠𝗜𝗦𝗘 𝗧𝗢 𝗬𝗢𝗨 While I can’t promise overnight results, I assure you of a proven process that has benefitted my clients. If that aligns with your needs, let’s connect and start this journey! Happy Customers Day, Khawaja Abdul Ahad P.S. Your success is my success. When you win, we both win. 𝗦𝗢𝗨𝗡𝗗𝗦 𝗟𝗜𝗞𝗘 𝗔 𝗙𝗜𝗧? 𝗡𝗘𝗫𝗧 𝗦𝗧𝗘𝗣𝗦 Click the green ‘Invite to Job’ button. Let’s have a virtual coffee and organize a call!

Get reliable data pipelines, trusted dashboards, and a single source of truth your team can actually use. I’m a Senior Data Engineer and BI Consultant with 9+ years of experience designing, building, and maintaining modern data platforms across AWS, GCP, Microsoft Fabric, Power BI and Data Studio. I help businesses move from scattered files, broken pipelines, slow reports, and unreliable dashboards to clean, automated analytics systems that support faster and better decision-making. I specialize in cloud data engineering, data warehousing, lakehouse architecture, dbt transformations, and business intelligence solutions that are production-ready, scalable, and easy to maintain. 𝐇𝐞𝐫𝐞’𝐬 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐃𝐨 𝐅𝐨𝐫 𝐘𝐨𝐮: ✅ Design and build automated data pipelines across AWS, GCP, and Microsoft Fabric. ✅ Build modern data warehouses and lakehouses using Redshift, BigQuery, Databricks, Synapse, S3, and Apache Iceberg ✅ Develop clean transformation layers using dbt, SQL, PySpark, Python, and Power Query. ✅ Implement reliable data models using Kimball Multi-Dimensional Modeling, and Data Vault 2.0 ✅ Build streaming pipeline using Amazon MSK, and Kafka ✅ Build executive dashboards in Power BI, Looker Studio, Tableau, Excel, and Google Sheets. ✅ Improve slow reports, broken pipelines, poor data quality, and unreliable analytics workflows. ✅ Document systems clearly so your team can understand, maintain, and scale them. 𝐒𝐤𝐢𝐥𝐥𝐬 𝐓𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫: ➡️ Cloud Data Engineering: AWS, GCP, Microsoft Fabric, Azure ➡️ Data Warehousing: Redshift, BigQuery, Snowflake, Synapse Analytics ➡️ Data Lakes & Lakehouse: Amazon S3, ADLS, GCS, Delta Lake, Medallion Architecture ➡️ Data Transformation: dbt, SQL, Python, PySpark, Pandas, Power Query ➡️ Orchestration & Automation: Airflow, AWS Glue, Azure Data Factory, Cloud Dataflow ➡️ BI & Analytics: Power BI, Looker Studio, Excel, Google Sheets ➡️ Data Modeling: Kimball, Data Vault 2.0, Star Schema, Semantic Layers 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐔𝐬𝐞: Power BI, Looker Studio, dbt, Python, SQL, PySpark, Airflow, AWS Glue, AWS DMS, Lambda, Redshift, Athena, BigQuery, Snowflake, Microsoft Fabric, Azure Data Factory, Synapse Analytics, Amazon S3, ADLS, GCS, GitAction, CI/CD. 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐂𝐚𝐧 𝐄𝐱𝐩𝐞𝐜𝐭: ✅ Clean, automated data pipelines ✅ A reliable single source of truth ✅ Fast SQL and Python processing ✅ Dashboards that are clear, useful, and adopted by the business ✅ Strong data quality, testing, and documentation ✅ Clear communication and dependable delivery ✅ A complete BI package, not just another dashboard Whether you need a new pipeline, a scalable data warehouse, a lakehouse, a dbt project, a Power BI dashboard, or a full end-to-end analytics system, I can help you design it properly and deliver it with confidence. Send me a message with your current data challenge, and let’s discuss how to turn it into a reliable analytics solution.

I build end-to-end data platforms — from raw source ingestion through dbt transformation to production dashboards — on Snowflake, BigQuery, Databricks, Sigma Computing, and Looker. One consultant who owns the full stack: ETL pipelines, cloud data warehouse, data modeling, and the BI reporting layer your team actually trusts. Founder of Warehows Analytics. Official partner with Snowflake, dbt, Databricks, and Sigma Computing. 32+ projects delivered across SaaS, e-commerce, fintech, healthtech, cybersecurity, and private equity. Top Rated Plus with 100% client satisfaction. $2.3M+ saved in client infrastructure costs. Stack: Snowflake, BigQuery, Databricks, dbt, Airflow, Fivetran, Airbyte, Hevo, Sigma Computing, Looker, Power BI, Superset, Streamlit, Python, SQL, FastAPI What I have delivered: - Fortune 500 — Oracle to Snowflake migration. 10M+ records/day CDC pipelines. Query times down 85%, costs down 60%. - $50M e-commerce brand — unified Google Ads, Facebook, email, and organic data. Single attribution model. ROAS from 3:1 to 7:1. - Finance SaaS (finsightsai.tech) — multi-tenant embedded analytics on Snowflake + Sigma serving 80+ customers. Sub-second queries. Built end to end: ingestion, dbt models, UI, LLM-powered insights. - Multi-brand e-commerce (4 brands) — Shopify, WooCommerce, QuickBooks, and ad platforms consolidated into Databricks + Looker. +65% marketing ROI. 80% less reporting time. - Cybersecurity startup — BigQuery warehouse consolidating Salesforce, RB2B, and product data. dbt-modeled attribution resolved three conflicting definitions of "converted lead." - Creative & PR agency — 50K+ customer reviews processed. AI sentiment analysis. Sigma dashboards. Client onboarding from 6 weeks to 1 week. - Veterinary clinic group — manual Excel to live cross-clinic dashboards. Airbyte + Airflow + dbt + Snowflake + Sigma. 10x faster onboarding. - Energy PE firm — Snowflake Cortex Analyst. Natural-language queries over sensitive portfolio data. - eMarketer — Snowflake reporting replacing 3-week manual Excel process. Runs daily, untouched. Services: - Cloud data warehouse design (Snowflake, BigQuery, Databricks) - ETL/ELT pipelines (Fivetran, Airbyte, Hevo, custom Python) - dbt transformation with testing, documentation, and semantic layer - BI dashboard development (Sigma, Looker, Power BI, Superset, Streamlit) - Embedded analytics for SaaS products (multi-tenant, row-level security) - Marketing attribution and revenue reporting - Data migration from legacy systems (Oracle, Talend, on-prem) - AI/LLM integration (RAG, conversational analytics, Cortex Analyst) Why this matters: data projects fail when nobody owns both ends. The pipeline engineer builds what was specified. The analyst reports what was delivered. Nobody checks whether either matches what the business needed. I hold the full picture — from raw source to executive dashboard — so the numbers your team sees are the numbers your finance team agreed to. Every model has tests. Every pipeline has monitoring. Every dashboard traces to a definition settled before the first chart was built. Send me a message. I respond the same day. Top Rated Plus · 32+ Projects · Snowflake Partner · dbt Partner · Databricks Partner · Sigma Computing Partner