🏆 TOP RATED PLUS Data Expert | Top 3% on Upwork 💰 $600K+ earned | 16,000+ hours | 130+ clients served I am a Sr Data Engineer with expertise in developing robust AI Agents & Analytics layer. I bring over 8 years of hands-on experience with: - Building scalable ETL data pipelines that fetch raw data froms APIs and store it into data warehouses hosted over GCP/AWS (BigQuery | Snowflake | Redshift). - Developing Business Intelligence reports and dashboards using Data Studio (formerly Looker Studio), Metabase, Looker, Tableau etc. - Building powerful AI Agents using Gemini, Claude, OpenAI, Dialogflow. - Track user behaviour data using GA4 and Google Tag Manager. I’ve worked with 130+ clients across eCommerce (Shopify, WooCommerce), digital marketing & paid ads (Meta, Google Ads), mobile apps & gaming analytics, SaaS & web apps, and data-driven businesses in education, clean energy & media. 💡 What I do (End-to-End Ownership) 1. Data Engineering & Warehousing: - Build scalable, reliable data pipelines using BigQuery, Snowflake, Redshift, Python and APIs of data sources - Automated ETL (Airflow, APIs, Fivetran, custom Python scripts) - Single source of truth across marketing + product + revenue 2. Analytics & BI (Decision Systems, not just dashboards): - Executive dashboards (Looker, Data Studio (formerly Looker Studio), Metabase, Power BI, Tableau) - KPI frameworks aligned to revenue - Cohort, LTV, attribution & funnel analysis 3. Marketing & Web Tracking (Accuracy = $$$) - GA4, Google Tag Manager, Server-side tracking - Meta CAPI, Google Ads, TikTok tracking - Fix broken attribution & data loss 4. Generative AI & Automation - AI agents & workflows (OpenAI, Gemini, Claude) - Automate reporting, insights, and ops - Use AI where it actually improves ROI (not hype) 📈 Real Outcomes I’ve Delivered ✔ Built full marketing data warehouse → improved spend efficiency by 30%+ ✔ Fixed tracking & attribution → recovered lost revenue visibility ✔ Automated reporting → saved 20+ hrs/week for teams ✔ Delivered exec dashboards → faster, data-backed decisions 🧠 Why Clients Choose Me - I think like a business owner, not just an engineer - I focus on revenue impact, not vanity metrics - I handle end-to-end (tracking → pipelines → dashboards → insights) - Strong communication + fast execution (no hand-holding needed) 📈 My Tech Stack: - Business Intelligence & Data Visualisation: Google Data Studio (formerly Looker Studio) , Looker, Metabase, Power BI, Mode, Tableau, Databox, Zoho Analytics, DOMO, Google Sheets, etc. - AI: LLMs like OpenAI, ChatGPT, Gemini, Claude, DeepSeek, and GCP's services like Document AI, DialogFlow, CCAI, etc. - Engineering: SQL, Python, Airflow, APIs, Cloud Functions, Lambda Functions, Cloud Composer, Cloud Run - Data Warehouses: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, and Azure. - ETL & Webhook tools: n8n, Fivetran, Stitch, Windsor, Supermetrics, Power My Analytics, Saras Analytics, Zapier, Make, etc. - Tracking: Google Tag Manager, Google Analytics 4, Meta Ads Conversion API, Google Ads Conversion tracking, Stape, Server-side tracking. - Data Sources: Shopify, WooCommerce, BigCommerce, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Apple Ads, Amazon Ads, Bing Ads, Google Analytics 4, Google Search Console, Google My Business, HubSpot, Active Campaign, PipeDrive, Facebook Page Insights, Instagram Insights, Stripe, SEMRush, MailChimp, Klaviyo, ClickUp, Ahref, etc. 👉 Let’s Work If you’re looking for someone who can own your entire data stack and turn it into a revenue engine, let’s talk. Click “Invite” and let’s discuss your use case 🚀 ----- 🔍 𝗞𝗘𝗬𝗪𝗢𝗥𝗗𝗦 GA4, Google Analytics 4, Google Tag Manager (GTM), Server-side Tracking, Meta Conversion API (CAPI), Google Ads Conversion Tracking, Marketing Attribution, BigQuery, Snowflake, Redshift, Data Warehouse, Big Data, Data Engineering, ETL, ELT, Data Pipelines, Apache Airflow, Airflow DAGs, PySpark, Spark, Databricks, SQL, Python, Advanced SQL, Data Modeling, Data Transformation, Data Architecture, Data Lakes, Data Studio, Looker Studio, Power BI, Tableau, Data Visualization, Dashboard Development, Business Intelligence (BI), KPI Dashboard, Reporting Automation, Shopify Analytics, WooCommerce Analytics, Marketing Analytics, Product Analytics, Funnel Analysis, Cohort Analysis, LTV Analysis, Retention Analysis, Generative AI, OpenAI, ChatGPT, Gemini, Claude, AI Agents, AI Automation, AI Agents, LLM Applications, n8n, Workflow Automation, No-code Automation, Low-code Automation, Zapier, Make (Integromat), API Integrations, Webhooks, Stripe, HubSpot, Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Cloud Platforms (GCP, AWS), Cloud Functions, AWS Lambda, Data Orchestration

With 10+ years across the full data stack; ETL, SQL Server, Snowflake, Azure, AWS, PySpark, Airflow, dbt, Advance SQL and Power BI. I help businesses turn messy, unreliable data into clean, automated pipelines that actually work in production. Data Engineering: • PySpark pipelines for large-scale transformation and Snowflake loading • Apache Airflow DAGs for orchestrating and monitoring complex workflows • SQL Server to Snowflake migrations — full schema, stored procedures, validation • Cloud pipelines: API extraction, Azure Blob staging, Snowflake loading, fully automated • dbt for clean, tested, version-controlled data transformations • Event-driven pipelines on AWS Lambda with OAuth 2.0 authentication • Legacy DTS / SSIS upgrades and modernisation Analytics Engineering: • dbt semantic models and data marts for analytics-ready layers • Snowflake query and compute cost optimisation • Power BI data modelling, measures, and business dashboards • SSRS reporting for enterprise environments I've worked independently in large enterprise environments , no hand-holding needed. I understand business requirements, ask the right questions, and deliver production-ready solutions. If you need someone who takes full ownership and gets it done right the first time, let's talk.

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

Most AI projects fail not because of bad technology, but because no one shipped them to production. I build 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬, 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 that handle real users and real data, not demos. Trusted by L'Oréal Middle East, Oman Housing Bank, United Industries Limited & enterprise clients across US & Middle East. 𝟑𝟐 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 | 𝟏,𝟓𝟗𝟏 𝐡𝐨𝐮𝐫𝐬 | 𝟏𝟎𝟎% 𝐉𝐒𝐒 | 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 🏆 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 👨🏻‍💻 🤖 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 Multi-agent systems built with LangGraph and LangChain, autonomous workflows where AI agents collaborate, make decisions, and execute tasks end-to-end. From financial AI platforms for hedge funds to healthcare automation pipelines, every system ships to production with real data, not just demos. 🎙️ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Production voice agents that handle real inbound & outbound calls, built on Convoi.AI, Twilio, Whisper & ElevenLabs. Deployed for healthcare, hospitality, home services & GCC enterprise clients. Handles multilingual conversations, live CRM integration & seamless human handoff, zero latency, zero hallucination. 🔍 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 & 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Retrieval-Augmented Generation systems that answer questions from live business data, not hallucinations. Built with hybrid search (BM25 + dense retrieval), pgvector, Pinecone & custom reranking pipelines. Production deployments across legal, financial & healthcare verticals. ⚙️ 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 End-to-end automation pipelines connecting AI models to real business systems, CRMs, ERPs, databases & third-party APIs. Built on Apache Airflow, n8n, Make & LangGraph. Replaces manual processes with intelligent, self-monitoring workflows that scale. 🧠 𝐆𝐫𝐚𝐩𝐡 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 & 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐌𝐋 Anomaly detection, threat intelligence & predictive modeling using Graph Neural Networks, deployed for a US cybersecurity firm handling advanced threat detection at scale. Research foundation from neurodegenerative disease datasets at DZNE Magdeburg, Germany. 🏗️ 𝐀𝐈 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 & 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐢𝐧𝐠 End-to-end AI system design for startups & enterprises, from selecting the right stack to production deployment strategy. MSc in Data Science (Otto-von-Guericke University, Germany) & 7+ years building production AI systems across finance, healthcare, retail & cybersecurity. 🌐 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 🌐 👾𝐀𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: LangGraph, LangChain, OpenAI, Claude, Gemini, Groq, Whisper, ElevenLabs, Twilio, Ollama, OpenClaw ֎ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Stable Diffusion, ControlNet, LoRA/DreamBooth Fine-tuning, ComfyUI, DALL-E ☁️ 𝐂𝐥𝐨𝐮𝐝: AWS SageMaker, GCP Vertex AI, Azure, BigQuery, Snowflake, Databricks, S3, Redis 🗄️ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, pgvector, Pinecone, MongoDB, MySQL 🔂 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Apache Airflow, n8n, Make, Zapier, GoHighLevel, Bitrix24, FastAPI, Docker 📊 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Power BI, Looker, Tableau, dbt, Dataform, PySpark, Talen, Keboola 👁️ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: OpenCV, PyTorch, TensorFlow, YOLO Looking to reduce manual workload, cut operational costs & scale with production-ready AI, not just prototypes? 𝐋𝐞𝐭'𝐬 𝐓𝐚𝐥𝐤 🗪 Describe your use case & I'll outline a production-ready approach within 24 hours. Message me or send an invite to get started. Keywords AI Voice Agent | AI Voice Agent Developer | Custom Inbound Voice Agent | RAG | Retrieval Pipeline | Pipeline | Quality Pipeline | Pipedrive | Automation Specialist | Cost Reduction | Hermes Agent | AI Agent Builder | Model Context Protocol | Retrieval Augmented Generation (RAG) | AI Automation | Business System Architect | AI Product Architect | Real time Speech-to-Speech Voice | AI product architecture | Recommendation and retrieval systems | Conversational AI experience | Product strategy and technical roadmap |Shopify integration | MVP development through launch | Long term product evolution | Snowflake Data Migration |

I build marketing analytics and attribution systems that show exactly which campaigns, channels, and product behaviors drive revenue, so growth teams can scale what works and cut what doesn’t. With 5+ years as a Data Engineer and Analytics Consultant, I partner with marketing, product, RevOps, and executive teams to stitch together ad platforms, analytics tools, CRMs, and product event data into one consistent reporting layer across the full funnel from acquisition to retention. Focus areas Marketing & Attribution Analytics • Tools: GA4, Meta, Google Ads, TikTok, pixels, Meta Conversions API, Google Tag Manager, server-side tracking, BigQuery, Power BI, Looker • Techniques: UTM governance, click-ID stitching, session-to-order joins, multi-touch and last-touch attribution, campaign and creative analysis, custom funnel tracking • Outcome: Clear views of channel contribution, campaign efficiency, and customer acquisition performance Funnel, Pipeline & Conversion Analytics • Tools: GA4, CRM systems (HubSpot, GoHighLevel, PipeDrive, etc.), SQL, dbt, cloud warehouses, BI dashboards • Techniques: Funnel modeling from first touch to revenue, lead-to-opportunity tracking, conversion rate decomposition, cohort-based funnel analysis • Outcome: Visibility into where prospects drop off, what converts, and which segments drive the highest-value revenue Product & Growth Analytics • Tools: Mixpanel, Amplitude, GA4, product event tracking, SQL, dbt, cloud warehouses, BI tools, Segment, RudderStack • Techniques: Activation metrics, retention and cohort analysis, feature usage tracking, lifecycle segmentation, product-to-revenue linkage • Outcome: Clear understanding of how product behavior impacts conversion, expansion, and long-term customer value RevOps & Go-To-Market Performance • Tools: HubSpot, Salesforce, Stripe, SQL, dbt, cloud warehouses, Excel • Techniques: Pipeline modeling, revenue timing logic, forecast vs actuals, customer segmentation by channel and product • Outcome: Unified views of pipeline health, bookings, revenue, churn, and growth efficiency across the go-to-market engine Data Modeling & Metric Layer • Tools: SQL, dbt, star schemas, semantic layers, Excel for validation • Techniques: Dimensional modeling, KPI definitions, metric governance, reconciliation across marketing, product, and revenue data • Outcome: Consistent metrics such as CAC, LTV, payback, activation, retention, and growth efficiency across all dashboards Dashboards & Automation • Tools: Power BI, Tableau, Looker, Python, Airflow, cloud warehouses (AWS, Azure, GCP) • Techniques: Automated pipelines, incremental models, QA checks, self-serve dashboard design for growth teams • Outcome: Decision-ready marketing, funnel, and executive dashboards that replace manual reporting Engagements range from ongoing growth analytics support to attribution builds, funnel and product analytics projects, and full reporting audits, all focused on giving teams a single, trusted view of how marketing and product actually drive revenue.

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 build modern data systems that help companies centralize operations, automate workflows, and make better business decisions from their data. My background combines: • Data Engineering • Analytics Engineering • Data Architecture • Business Intelligence • AI Integrations & Automation I work with companies that have grown beyond spreadsheets, disconnected tools, unreliable reporting, and manual operational processes — and need scalable systems that actually support the business. ━━━━━━━━━━━━━━━━━━━ WHAT I DO ━━━━━━━━━━━━━━━━━━━ ▶ Data Engineering & Architecture • Design scalable modern data platforms • Build ETL / ELT pipelines and ingestion frameworks • Architect Snowflake and Databricks environments • Implement medallion architecture and dimensional models • Build orchestration workflows with Airflow • Develop dbt transformation layers and semantic models • Optimize pipeline reliability, performance, and cost ▶ Analytics & Business Intelligence • Executive KPI systems and reporting platforms • Power BI & Tableau dashboard development • Operational analytics and forecasting systems • Revenue, funnel, and performance analysis • Data modeling for reporting and self-service analytics • Trusted metric layer and reporting standardization ▶ AI Solutions & Intelligent Automation • LLM integrations (OpenAI, Claude, Cortex AI) • AI-powered operational workflows • AI-assisted reporting and analytics systems • Automated enrichment, classification, and insight generation • Internal AI tools connected to company data • Workflow automation reducing manual operational overhead ▶ CRM & Operational Systems • Salesforce, HubSpot, and Close CRM integrations • CRM migration and restructuring projects • Sales pipeline analytics and operational reporting • Business process automation and system integration ━━━━━━━━━━━━━━━━━━━ RECENT PROJECTS ━━━━━━━━━━━━━━━━━━━ • Built end-to-end analytics platforms (API integrations → orchestration → Snowflake → BI dashboards) • Developed AI-assisted property valuation and operational analysis workflows • Designed KPI standardization platforms consolidating metrics from hundreds of BI reports • Built Airflow orchestration and CI/CD workflows using GitHub Actions • Implemented scalable reporting systems used by leadership and operations teams • Improved CRM reporting accuracy and operational visibility across multiple business functions • Built medallion-based data architectures supporting analytics and self-service reporting ━━━━━━━━━━━━━━━━━━━ TECH STACK ━━━━━━━━━━━━━━━━━━━ Python • SQL • Snowflake • Databricks • Airflow • dbt Power BI • Tableau • Azure • AWS • APIs • GitHub Actions LLM / AI Integrations • Workflow Automation ━━━━━━━━━━━━━━━━━━━ I focus on building systems that are not only technically strong, but also practical, scalable, and aligned with real business operations. Whether you need a modern data platform, executive reporting system, AI-powered workflow automation, or a complete analytics architecture — I can help design and build the solution end-to-end.

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!

If your data pipelines are slow, breaking, or producing dashboards your team doesn’t trust — I fix that. Most data engineers can build a pipeline. Fewer make sure it is fast, reliable, well-modeled, and feeding dashboards your business can actually use for decisions. I’m a Microsoft Certified Fabric Data Engineer specializing in Microsoft Fabric, Azure data pipelines, Lakehouse/Warehouse architecture, Databricks, Snowflake, and Power BI semantic models. I help teams build the full data layer: from raw source systems and APIs, to clean Bronze/Silver/Gold pipelines, to properly modeled warehouses, to Power BI dashboards that perform at scale. Recent results: * Reduced a daily pipeline runtime from 8 hours to 30 minutes * Eliminated around 95% of manual data errors by automating third-party API integrations * Saved a data team 20+ hours per week through automated monitoring and reporting * Reduced manual data preparation time by 60% with end-to-end Azure pipelines * Built Power BI dashboards for retail, sales, and supply chain clients, with 5-star client feedback What I can help with: * Microsoft Fabric pipelines, Lakehouse, Warehouse, and medallion architecture * Azure Data Factory, Databricks, Azure SQL, and Data Lake pipelines * PySpark and Spark SQL for large-scale data processing * Power BI semantic models, DAX optimization, and executive dashboards * Data modeling, star schemas, fact/dimension design, and ERDs * SQL optimization, data quality checks, and pipeline monitoring * Snowflake and dbt for modern cloud warehouse solutions How I work: * Clear communication and regular project updates * Loom walkthroughs for architecture, logic, and deliverables * Clean, documented, production-ready code your team can maintain * Strong focus on reliability, data quality, and long-term maintainability * Available for async collaboration across US, UK, and EU time zones If you need reliable pipelines, clean data models, and dashboards your team can trust, send me a message.

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.