4+ years building BI end-to-end Infrastructure. I sit with the ambiguity, ask what your team hasn't, and translate fuzzy business goals into a clear data model and KPI framework that holds up under scrutiny. 🧠 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐫𝐢𝐧𝐠 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 🔹 Ambiguity → Clarity: I define the right questions and metrics before building anything, so you measure what matters, not what's easy. 🔹 Semantic & Data Modeling: Star schemas, slowly-changing dimensions, reconciled grain, single source of truth 🔹 Scalable Architecture: Pipelines and models designed for "Day 2", maintainable, cost-aware, documented, built to grow instead of breaking at scale. 🔹 Context Integration: I unify Stripe, Shopify, Zoho, GA4, Ads platforms, etc. and CRMs into one coherent ecosystem that mirrors how your business actually operates. 🔹 Narrative & Decision Design: Every visual answers a business question and points to an action, analysis a CEO can act on in seconds. ⚙️ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗧𝗼𝗼𝗹𝗯𝗼𝘅 🔹 BI & Viz: Power BI, Looker Studio, Zoho Analytics, Metabase, Apache Superset, Domo, Databox 🔹 Modeling & Query: SQL, DAX, Power Query (M), Python, dbt, Excel 🔹 Warehousing: BigQuery, Cloud SQL, Snowflake, SQL Server, MySQL, Firebase 🔹 Pipelines & ETL: Make, n8n, Fivetran, Apps Script, Cloud Run, Windsor AI, Coupler IO, Supermetrics 🔹 Sources: Stripe, Shopify, Zoho CRM, GA4, Google/Meta/TikTok Ads, Search Console, etc. 🔹 AI layer (the plus): OpenAI & Claude APIs, Claude Code, Codex, conversational analytics, anomaly detection, predictive models, and agent workflows for automated briefings & alerts 🚀 𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗠𝗲 𝗔𝗽𝗮𝗿𝘁 🔹 Business-first, not tool-first: I start with your objectives and constraints, not your dataset. 🔹 End-to-end ownership: From auditing sources and defining KPIs to modeling, building, and publishing, I run the full lifecycle. 🔹 Transparency: You own your data and infrastructure. I document every step, so nothing is a black box. 🔹 AI as leverage, not a gimmick: I automate the repetitive parts so the strategic parts get more of my attention. ⭐ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝘁𝗮𝘆 🔹 Reliable communication and clear expectations , no micromanagement needed. 🔹 Insights in plain language, for technical and non-technical stakeholders alike. 🔹 Proactive: I diagnose and recommend, not just deliver charts. 🔹 Consistent delivery, on time, with care. 💡 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 If your business generates data but not clarity, let's fix that. I'll design the model, architecture, and dissemination layer that turn your numbers into a durable competitive advantage, clear, scalable, and genuinely yours.

With 7+ years of experience, I'm Expert in Web Scraping, Data Engineer, AI/ML and Full-Stack Developer specializing in large-scale data extraction, automation, and pipeline engineering. I build robust, scalable systems that transform raw data into actionable insights. 💡 Core Expertise Web Scraping & Automation: Expert in bypassing anti-bot systems (CAPTCHA, rate limits, IP rotation) using Scrapy, BeautifulSoup, Selenium, Playwright, and rotating proxies. Automation & Workflow Engineering: Airflow, Prefect, Dagster, n8n, Zapier, Make, Power Automate, UiPath, Step Functions, Logic Apps, GCP Workflows, Business Process Automation, RPA, CI/CD, Jenkins, GitHub Actions, GitLab CI/CD, Monitoring & Alerting. Data Engineering: Designing and building scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data using Apache Airflow, Apache Spark (PySpark), Pandas, Dask, Databricks, Snowflake, Apache Kafka, Apache Hive, Apache Hadoop, Delta Lake, Apache Iceberg, dbt, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Apache NiFi, Trino, Presto, and Apache Beam. Experienced in data warehousing, data lakes, lakehouse architectures, data modeling, data transformation, data quality, data governance, batch and real-time processing, streaming data pipelines, orchestration, workflow automation, schema design, partitioning, optimization, and performance tuning. Proficient with cloud platforms including AWS, Azure, and GCP, S3, Redshift, EMR, Athena, Lambda, Azure Synapse Analytics, Azure Data Lake Storage, BigQuery, Cloud Storage, and Pub/Sub. Skilled in SQL, Python, data integration, data migration, CDC, metadata management, monitoring, CI/CD, Docker, Kubernetes, and modern data stack technologies. Backend Development: High-performance APIs and microservices with FastAPI, Django, Flask, and Celery for async task handling. AI/ML Integration: Leveraging NLP and LLMs (LangChain, Llama, NLTK) for data enrichment, classification, and intelligent automation. Cloud & DevOps: Deploying scalable scrapers and data workflows on AWS (Lambda, ECS, S3), GCP, Docker, and Kubernetes. 🛠️ Tech Stack Data & Scraping: ▸ Scrapy | Selenium | Playwright | Proxies (BrightData, ScraperAPI, etc) ▸ Pandas | PySpark | Apache Airflow | PostgreSQL | MongoDB | Redis Backend & Cloud: ▸ Python (FastAPI, Django, Flask) | Celery | RabbitMQ ▸ AWS (Lambda, ECS, RDS, S3) | GCP | Docker | Kubernetes AI/ML: ▸ NLP (NLTK, spaCy) | LLMs (LangChain, OpenAI, Llama) | Data Annotation Let's turn your data challenges into reliable, scalable solutions. Send me a message to discuss your project!

🚀 𝗔𝗩𝗔𝗜𝗟𝗔𝗕𝗟𝗘 𝗧𝗢 𝗦𝗧𝗔𝗥𝗧 𝗧𝗢𝗗𝗔𝗬 ✔ Top 1% - Expert-Vetted, Top Rated Plus, Verified, 5.0⭐️ rating ✔ 12 Awards | 👥 66,000+ Dribbble Followers | Top Portfolio ✔ 12+ years of experience in UX & UI, Web Design, and Mobile App Design ✔ 200+ satisfied clients who have seen tangible business growth ✔ 200+ completed projects across various industries 𝗖𝗛𝗢𝗢𝗦𝗘 𝗧𝗛𝗘 𝗦𝗘𝗥𝗩𝗜𝗖𝗘 𝗬𝗢𝗨 𝗡𝗘𝗘𝗗👇🏻 🟦 𝗨𝗜/𝗨𝗫 𝗗𝗘𝗦𝗜𝗚𝗡 🟩 𝗪𝗘𝗕𝗦𝗜𝗧𝗘 𝗗𝗘𝗦𝗜𝗚𝗡 🟧 𝗠𝗢𝗕𝗜𝗟𝗘 𝗔𝗣𝗣 𝗗𝗘𝗦𝗜𝗚𝗡 🟪 𝗪𝗘𝗕𝗦𝗜𝗧𝗘 𝗥𝗘𝗗𝗘𝗦𝗜𝗚𝗡 === 🟦 𝗨𝗜/𝗨𝗫 𝗗𝗘𝗦𝗜𝗚𝗡 High-end interfaces designed to make your product both beautiful and easy to use. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗶𝗻: 💼 AI-Powered SaaS 💼 Web3 & Crypto 💼 Automation Tools 💼 CRM & Analytics 💼 FinTech & HealthTech 💼 EdTech & HR-Tech 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝗴𝗲𝘁: ✔️ A clearer UX structure from the start so the product is built on solid logic, which means you do not end up polishing screens that break under real usage. ✔️ Design that works with real content so the interface survives actual product conditions, which means it does not collapse when fake placeholder text gets replaced with real names, data, and system states. ✔️ Critical flows tested before handoff so hidden friction is spotted early, which means fewer conversion leaks in onboarding, activation, and feature usage. ✔️ UI that guides action so users move through the product with less effort, which means better clarity, faster decisions, and less drop-off in important moments. ✔️ Handoff with system thinking behind it so implementation is more predictable, which means less dev guesswork, less patching, and fewer “we’ll fix it later” compromises. 🟩 𝗪𝗘𝗕𝗦𝗜𝗧𝗘 𝗗𝗘𝗦𝗜𝗚𝗡 Custom websites and landing pages designed to make your offer clearer, stronger, and easier to act on. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗶𝗻: 💼 SaaS Marketing Sites 💼 AI Startup Landing Pages 💼 High-Tech Product Pages 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝗴𝗲𝘁: ✔️ A clearer page structure from the start so visitors get the offer faster, which means fewer people bouncing before they understand what you actually do. ✔️ Messaging and design working together so the page feels sharp and convincing, which means you are not hiding weak positioning behind good-looking sections. ✔️ Pages built to guide action so users move more naturally toward demos, trials, or contact, which means the traffic has a better chance of turning into real leads. ✔️ A stronger flow of attention across the page so people know what matters and where to look next, which means less friction, less hesitation, and better conversion. ✔️ A cleaner handoff for development so the final build is more predictable, which means less patching, less rework, and fewer surprises after design. 🟧 𝗠𝗢𝗕𝗜𝗟𝗘 𝗔𝗣𝗣 𝗗𝗘𝗦𝗜𝗚𝗡 Mobile app design built to create clearer flows, better usability, and a smoother path to development. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗶𝗻: 💼 iOS & Android Native Design 💼 SaaS Companion Apps 💼 AI-Driven Mobile Interfaces 💼 Retention-Focused UX 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝗴𝗲𝘁: ✔️ A mobile flow built around real behavior so users move through the app more naturally, which means less friction and fewer drop-offs in the moments that matter. ✔️ Native-feeling UX for iOS and Android so the product feels familiar from the start, which means users do not waste energy figuring out how the app works. ✔️ Core states designed upfront so the experience holds up beyond polished mockups, which means fewer broken moments when real usage hits the product. ✔️ Interfaces that make actions easier so users can complete key tasks faster, which means smoother sessions, less frustration, and better flow inside the app. ✔️ Retention-focused design decisions so the app is easier to come back to, which means better repeat usage and fewer avoidable uninstalls. 🟪 𝗪𝗘𝗕𝗦𝗜𝗧𝗘 𝗥𝗘𝗗𝗘𝗦𝗜𝗚𝗡 A complete visual and functional refresh to bring your current site up to Tier-1 standards. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗶𝗻: 💼 Visual Modernization 💼 UX & Conversion Optimization 💼 Brand Evolution 💼 Performance & Scalability ✔️ A sharper site structure from the start so visitors move through the pages with less friction, which means fewer drop-offs caused by weak flow or unclear hierarchy. ✔️ A redesign shaped around what is not working today so weak sections and outdated patterns get fixed with purpose, which means the site performs better instead of just looking newer. ✔️ A stronger visual system across the site so the brand feels more credible and up to date, which means you build more trust before the pitch even starts. ✔️ Pages designed to scale more cleanly so future updates are easier to add, which means the site can grow without becoming harder to manage. ✔️ A cleaner handoff into development so implementation is smoother and more predictable, which means less rework, less patching, and fewer surprises after redesign. 🚀 𝗔𝗩𝗔𝗜𝗟𝗔𝗕𝗟𝗘 𝗧𝗢 𝗦𝗧𝗔𝗥𝗧 𝗧𝗢𝗗𝗔𝗬

I build production-ready AI automation systems for businesses using n8n, OpenAI API, Claude, LangChain, RAG, Python, APIs, OpenClaw, Make, Zapier, and Power BI. My edge is simple: I started as a data engineer and Power BI specialist in 2021, so I do not build fragile AI demos. I build AI agents and automation workflows on top of clean data, reliable integrations, governed reporting, and real business processes. $450K+ delivered on Upwork, 100% Job Success, Top Rated Plus, 350+ completed projects, and 3,400+ hours across AI automation, data engineering, Power BI, API integrations, and business workflow systems. 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝: ✓ AI agents for support, operations, research, reporting, and internal workflows ✓ n8n, Make, and API automation for CRM, email, documents, dashboards, and SaaS tools ✓ RAG chatbots and document intelligence systems using OpenAI, Claude, LangChain, vector search, and structured data pipelines ✓ Openclaw/Clawdbot/Moltbolt , Hermes and multi-agent workflows with approval gates, memory, monitoring, and human-in-the-loop control ✓ Power BI and Microsoft Fabric dashboards connected to automated data pipelines and business KPIs ✓ Data engineering foundations: Python, SQL, Snowflake, BigQuery, Microsoft Fabric, semantic models, DAX, ETL/ELT, and governed refresh logic 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬: Most AI automation fails because the workflow is not connected to clean data, real permissions, audit trails, error handling, or business reporting. I focus on production systems that your team can actually use, monitor, and improve. Recent work includes OpenClaw multi-agent systems, ClawdBot setup, n8n automation, AI document parsing , Power BI reporting, CRM automation, and enterprise analytics systems. If you are trying to automate a manual process, connect AI to your existing tools, or turn messy data into reliable decisions, send me your workflow. I will help you map the safest architecture before we build

Tired of unreliable data pipelines or unscalable analytics infrastructure? I help teams build cloud-native data platforms that are fast, efficient, and easy to maintain. I'm Colte - a Senior Data Engineer with hands-on expertise across modern data stacks including Python, SQL, dbt, and warehouse platforms like BigQuery, Snowflake, Amazon Redshift, and Databricks. I specialize in designing ETL and ELT workflows that are reliable, well-modeled, and production-ready. 🧰 Tools I work with daily: - Pipeline orchestration with Apache Airflow - Data modeling & transformation using dbt - Warehouse builds on BigQuery, Snowflake, and Databricks - Multi-cloud deployment via GCP, AWS, and Azure 🔧 What I can help you with: - Designing and deploying scalable ETL pipelines - Migrating data to cloud warehouses - Building strong data models for analytics and BI tools - Implementing or optimizing your data warehouse architecture - End-to-end data engineering support for product and analytics teams I don't just move data - I make sure it's clean, well-modeled, and accessible to the right systems and people. Let's build infrastructure that scales with your business.

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP

Software developer specializing in the field of Big Data and Analytics. Experienced in the design and development of Data Warehouse and Data Lake architectures. My goal is to build cost-effective and reliable systems where client data is organized so it is usable, intuitive, and provides valuable insights to the business. Over the years I have been in contact with the most relevant platforms and software tools in the field. But more importantly, regardless of technology, I have gained knowledge of the principles and techniques of dimensional modeling which is the basis of moving towards data-oriented decision-making.

Hi, I'm Owais. I've spent 6+ 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.

I architect and build production-grade data platforms for companies that have outgrown spreadsheets and fragile BI. I specialize in designing full-stack Snowflake + dbt + Airflow systems that power executive and investor-level reporting. For the past 6+ years, I’ve owned end-to-end data architecture — from ingestion and warehouse design to modeling, orchestration, and executive reporting. I don’t just write queries — I build the full system. Recent platform builds • KnowV8 (US-based analytics company) – Sole architect and engineer of a fully automated Snowflake + dbt + Airflow stack powering daily production reporting. Designed ingestion workflows, dimensional models, and reporting structures used for executive decision-making. • Optium Capital (US PE-backed firm) – Designed and built a Snowflake-based analytics platform integrating multiple data sources, enabling governed reporting and replacing spreadsheet-driven processes. • RTL (Enterprise Media Company) – Integrated a new large-scale data source into an existing Snowflake + dbt + Airflow ecosystem. Worked with datasets exceeding 100M–1B+ rows, ensuring scalability and data integrity. ⸻ What I help clients with • Architecting scalable Snowflake-based data warehouses • Designing clean, maintainable dbt transformation layers • Building reliable Airflow pipelines for production workflows • Replacing Excel-based reporting with structured BI • Creating consistent, auditable numbers for leadership teams • Connecting APIs and external data sources into modern data stacks ⸻ Core stack Python, SQL, Snowflake, dbt, Airflow, AWS/S3, Tableau, Power BI, Azure ⸻ If you need someone who can both design the architecture and implement it end-to-end — I’m that person.

Senior Data Engineer building production ETL/ELT pipelines, cloud data warehouses, and analytics platforms that turn fragmented data into reliable, business-ready insight. Over 1,700 hours on Upwork with a 100% Job Success Score, specializing in Airflow orchestration, dbt transformation, and Snowflake/BigQuery warehousing across AWS, GCP, and Azure. 🔧 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 - ETL/ELT pipelines (batch + streaming) - Workflow orchestration with Airflow, Dagster, MWAA, Step Functions - Data ingestion, replication, and CDC with Fivetran, Airbyte, Meltano - Pipeline monitoring, alerting, and cost optimization 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 & 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 - Snowflake, BigQuery, Redshift, Databricks, ClickHouse, Postgres - Star, Snowflake, Kimball, and Data Vault modeling - Schema evolution, partitioning, and clustering - Query performance tuning for BI workloads 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 - AWS (S3, Lambda, Glue, Athena, MWAA, Step Functions) - GCP (BigQuery, Pub/Sub, Cloud Functions, Dataflow) - Azure (Data Factory) - Docker, Kubernetes (EKS/GKE/AKS), Helm 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 & 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 - Apache Kafka, Spark Structured Streaming - Event-driven architectures - CDC pipelines for low-latency analytics 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗕𝗜 - Power BI, Looker, Tableau, Looker Studio - Superset, Metabase, Klipfolio - Semantic layers and self-service KPI dashboards 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗜𝗺𝗽𝗮𝗰𝘁 - Built a real-time FinTech analytics platform (Markets4U) with ClickHouse and Power BI for sub-second dashboard latency - Designed a smart real estate analytics stack (ECAP) using Airflow, dbt, and Snowflake for automated property reporting - Unified Salesforce and operational data (ASR) into a centralized customer analytics layer with Power BI - Modernized a legacy Excel reporting workflow into a full Airbyte → dbt → BigQuery → Looker Studio pipeline 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗸𝗲𝗲𝗽 𝗵𝗶𝗿𝗶𝗻𝗴 𝗺𝗲 - 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽: architecture → development → deployment → documentation - 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀-𝗳𝗶𝗿𝘀𝘁: data shaped to support decisions, not just processed - 𝗖𝗹𝗲𝗮𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: frequent updates, no surprises, proactive escalation - 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲: modular, testable, scalable pipelines built to grow with your product 📩 Send me a message about your data challenge, I'll review it and recommend the cleanest path forward.