Hi, I’m Nouf Yahya. I bridge the gap between complex database backend architecture and clean, actionable business insights. With a strong background as a Backend Engineer, I don't just write basic SQL queries—I understand how data structures, schemas, and pipelines operate from the inside out. Whether you need to normalize massive, chaotic flat files into clean relational databases, write complex PL/SQL stored procedures, or build high-performance data models using tools like dbt and PostgreSQL, I ensure your data is structured, scalable, and trustworthy.

Data professional with6+ years of experience delivering data engineering, analytics, and business analysis solutions across the airline, banking, and IT industries. SnowPro Core Certified Data Engineer, experienced in designing and maintaining ELT/ETL pipelines using Snowflake, dbt, Python, SQL, Airflow, Databricks, and AWS. Skilled in data modeling, data warehousing, performance optimization, data quality, reporting, and automation. Core Skills: Snowflake, dbt, SQL, Python, Airflow, Databricks, AWS, Terraform, Git, AWS, GCP, CI/CD, ETL/ELT Pipelines, Data Warehousing, Data Modeling, Business Analysis, Requirement Gathering, BRD, FRD, User Stories, Use Cases, Manual Testing, UAT, Documentation, Power BI, Problem Solving, and Stakeholder Management.

Need data scraped from any websit, even ones that require login, render JavaScript, or block bots? You've found the right person. I build Python-powered scrapers, automation bots, and live dashboards that turn raw web data into clean, structured output. Whether it's Selenium for dynamic pages, Scrapy for large-scale crawls, or a Plotly dashboard to visualise it all. I handle the full pipeline. What you get: clean code, on-time delivery, and a developer who actually communicates.

Struggling with unreliable data pipelines or messy data quality🤯⁉️ I build robust data pipeline systems ⚒️ that transform raw data into clean and reliable datasets for your business decisions 💸with 2+ years proven expertise. WHY CHOOSE ME ⚡ Lightning-Fast Delivery: Complete projects fast 💰 Cost-Effective Solutions: Save data infrastructure costs through smart architecture choices 🗣️ Crystal Clear Communication: Daily progress updates + 24/7 availability across all time zones 📈 Proven Track Record: 100% project success rate with data quality guaranteed 🛠️ Modern Tech Stack: Latest tools and frameworks for future-proof solutions 🕐 Rapid Response: < 2 hours response time, even on weekends WHAT I CAN DO & HOW FAST? ✅ ETL/ELT Pipeline Development - Automated data workflows with error handling (1-2 weeks) ✅ Real-Time Data Processing - Live streaming analytics with Kafka/Spark (1-2 weeks) ✅ Data Warehouse Architecture - Scalable cloud solutions (AWS/GCP/Azure) (1 week) ✅ Data Quality & Validation - Automated testing and monitoring systems (1 week) ✅ Database Optimization - Performance tuning for 10x speed improvements (1-2 weeks) ✅ Data Migration & Integration - Seamless multi-source consolidation (1-2 weeks) ✅ Analytics Dashboard Setup - Interactive visualizations with Power BI/Other Tools (1 week) ✅ Pipeline Optimization - Reduce processing time and cloud costs (1-2 weeks) CORE TECHNICAL SKILLS ⭐Languages: Python, SQL, Scala ⭐Database: PostgreSQL, MySQL, SQL Server, Clickhouse ⭐Core: Apache Spark / PySpark, Apache Airflow, Apache Kafka, Apache Flink, DBT ⭐Clouds: AWS (Redshift, Glue, S3), GCP (BigQuery, Dataflow), Azure (Synapse, Databricks) ⭐Visualization: Tableau, Power BI, Looker Studio, Garfana, Apache Superset ⭐Other: Docker, Git, Terraform, Apache Iceberg, Debezium Ready to solve your data challenges? 📩 Click 'Message' now for a FREE 15-minute consultation where we'll discuss your specific challenges and create a custom roadmap for success. Available within 2 hours! 🔑𝐊𝐄𝐘𝐖𝐎𝐑𝐃𝐒: Python, SQL, Machine Learning, Data Analysis, ETL Pipeline, Amazon Web Services, ETL, Data Science, Apache Spark, Data Scraping, Data Visualization, Big Data, Tableau, Data Engineering, ETL Pipeline, ELT Pipeline, Data Pipeline Development, Apache Spark, PySpark, Apache Kafka, Apache Airflow, Data Warehouse, AWS Data Engineer, Azure Data Engineer, GCP Data Engineer, Python Developer, SQL Expert, Big Data Engineering, Data Integration, Data Migration, Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, AWS Glue, Azure Data Factory, Google Dataflow, dbt Transformation, Data Quality, Real-time Processing, Batch Processing, Cloud Data Architecture, AI Data Pipeline, RAG Pipeline, LangChain, Vector Database, AI Integration, n8n Automation, Zapier Integration, Make.com, Workflow Automation, API Integration, LLM Data Processing, GenAI Data Solutions, Machine Learning Pipeline, MLOps, Pinecone, Weaviate, ChromaDB, OpenAI API, Embedding Pipeline, AI Workflow, Data Automation, Remote Data Engineer, Freelance Data Engineer.

Hello! I’m Zuhaib, a passionate Data Engineer with over 7 years of experience transforming raw data into meaningful insights through innovative data engineering solutions. I specialize in designing, developing, and optimizing data pipelines, databases, and analytics platforms to empower businesses to make data-driven decisions. My Expertise Includes: Data Engineering Tools & Technologies: Data Processing & ETL/ELT Pipelines: Apache Spark, Apache Airflow, Talend, Informatica, AWS Glue, and dbt (Data Build Tool). Big Data Frameworks: Hadoop, Hive, Pig, and Kafka for real-time data streaming and batch processing. Cloud Platforms: AWS: S3, Redshift, EMR, Lambda, Glue, Athena. Google Cloud (GCP): BigQuery, Dataflow, Pub/Sub, Cloud Storage. Azure: Azure Data Factory, Synapse Analytics, Blob Storage. Databases: SQL Databases: PostgreSQL, MySQL, Microsoft SQL Server, Oracle. NoSQL Databases: MongoDB, Cassandra, DynamoDB, Redis. Data Warehouses: Snowflake, Redshift, BigQuery. Programming & Scripting: Python, SQL, Scala, Java, Shell scripting. Data Visualization: Tableau, Power BI, Amazon QuickSight, Looker. Version Control & CI/CD: Git, Jenkins, Docker, Kubernetes. Key Skills: Designing end-to-end data pipelines to handle structured, semi-structured, and unstructured data. Optimizing data systems for high performance and cost efficiency. Implementing real-time and batch processing systems using tools like Kafka and Spark Streaming. Migrating on-premises data systems to cloud platforms seamlessly. Building scalable data lakes, warehouses, and marts. Automating data workflows with tools like Apache Airflow and Prefect. Why Work With Me? Proven Track Record: Successfully delivered data engineering solutions across e-commerce, finance, and healthcare industries. Scalable Solutions: I ensure all systems I build are future-proof and can handle growing data needs. Attention to Detail: My work focuses on data accuracy, security, and compliance with regulations like GDPR and HIPAA. Collaborative Approach: I prioritize communication, keeping you informed at every project stage. Highlighted Achievements: Reduced ETL processing times by 40% through Spark optimization techniques. Designed a cloud-based data warehouse that saved $50,000 annually by migrating from legacy systems. Built a real-time analytics platform that improved reporting latency by 85%. Let’s collaborate to make your data work smarter for your business. I am excited to help you achieve your project goals, whether designing robust pipelines, optimizing your data infrastructure, or delivering real-time insights. Feel free to reach out to discuss your project. Together, we can unlock the power of your data!

𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 & 𝐁𝐈 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐟𝐨𝐫 𝐒𝐐𝐋, 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈, 𝐓𝐚𝐛𝐥𝐞𝐚𝐮, 𝐄𝐓𝐋, 𝐚𝐧𝐝 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 If your business has scattered data, slow reports, or dashboards that do not match the numbers your team trusts, I can help turn that into a clean, reliable analytics workflow. My focus is building data pipelines, BI dashboards, and reporting systems that make decisions faster and easier. 𝑨𝑩𝑶𝑼𝑻 𝑴𝑬 I specialize in data engineering, data visualization, and business analysis for teams that need accurate reporting without unnecessary complexity. I work across SQL databases, Python workflows, Power BI, Tableau, Looker Studio, BigQuery, Snowflake, and spreadsheet-heavy environments that need better structure. My background includes building reporting layers for SaaS, ecommerce, operations, finance, and customer support teams. I care about clean metric definitions, repeatable pipelines, dashboard usability, and data that business users can actually trust. 𝑾𝑯𝑨𝑻 𝑰 𝑶𝑭𝑭𝑬𝑹 ✅ Power BI and Tableau dashboards with clear KPIs, filters, drilldowns, and stakeholder-ready visuals ✅ SQL reporting models for revenue, customer behavior, operations, finance, and product analytics ✅ ETL pipeline development using Python, SQL, Airflow, dbt, BigQuery, Snowflake, and API data sources ✅ Data cleaning and transformation for messy spreadsheets, CRM exports, ecommerce data, and operational systems ✅ Dashboard optimization and QA to fix slow refreshes, broken metrics, duplicate records, and inconsistent totals ✅ Analytics documentation including KPI definitions, data dictionaries, refresh logic, and handover notes 𝑻𝑬𝑺𝑻𝑰𝑴𝑶𝑵𝑰𝑨𝑳𝑺 👍 "The dashboard was clean, practical, and easy for our managers to use." 👍 "He helped us replace manual spreadsheet reporting with a much smoother workflow." 👍 "Strong SQL work and clear communication during every review." 👍 "The final reports matched our business logic and were delivered with useful documentation." 𝑲𝑬𝒀 𝑺𝑻𝑹𝑬𝑵𝑮𝑯𝑺 💠 SQL-first analytics thinking with strong attention to metric accuracy 💠 Business-friendly dashboards that avoid clutter and focus on decisions 💠 ETL and data modeling for repeatable reporting instead of one-off fixes 💠 Data validation and QA before dashboards go live 💠 Clear documentation for handover, maintenance, and future scaling 💠 Stakeholder communication with both technical and non-technical teams 💠 Practical problem-solving for real business data issues 𝑺𝑲𝑰𝑳𝑳 𝑺𝑬𝑻 🧰 BI & Visualization: Power BI, Tableau, Looker Studio, dashboard design, KPI reporting, executive reports 🧰 Data Engineering: ETL pipelines, data warehousing, dbt, Apache Airflow, API data ingestion, batch processing 🧰 Databases & Querying: SQL, PostgreSQL, MySQL, BigQuery, Snowflake, SQL Server 🧰 Analytics & Automation: Python, pandas, Excel, Google Sheets, data cleaning, reporting automation 🧰 Data Quality: validation rules, duplicate checks, reconciliation, documentation, refresh monitoring If you need a data engineer, data analyst, or BI dashboard specialist who can clean up the reporting process and deliver useful insights, send me a message and I will help map the best approach. Keywords: data engineer, data analyst, data visualization, Power BI, Tableau, SQL, Python, ETL pipeline, data warehouse, BigQuery, Snowflake, Looker Studio, dbt, Apache Airflow, business intelligence, dashboard design, KPI reporting, data cleaning, data modeling, reporting automation, Excel reporting, analytics dashboard, BI developer, data transformation, data quality

I am a Data Engineer and BI Developer with 6+ years of experience building reliable data pipelines, SQL databases, data warehouses, and business reporting solutions. I help businesses collect, clean, transform, and visualize their data using tools such as SQL Server, Azure SQL, Azure Data Factory, SSIS, SSRS, Power BI, Snowflake, dbt, Python, and Microsoft Azure. My main focus is building practical data solutions that are easy to maintain and trusted by business users. I can help with SQL query optimization, stored procedures, ETL/ELT pipelines, data modeling, Power BI dashboards, paginated reports, and data warehouse development. I have worked on real-world projects involving cloud data platforms, reporting automation, performance tuning, semantic models, scheduled refreshes, and production-level BI reporting. I also have strong experience troubleshooting slow SQL queries, fixing report calculation issues, improving database performance, and preparing clean reporting layers for analytics.

I am a highly skilled Data Scientist and AI/ML Engineer with expertise in building predictive models, analyzing complex datasets, and delivering data-driven solutions. With 10+ successfully delivered projects in areas like fraud detection, NLP, time series forecasting, and risk analytics, I specialize in turning raw data into actionable insights and scalable AI/ML systems. Key Skills: 📊 Data Science: Exploratory Data Analysis (EDA), Statistical Modeling, Data Visualization, A/B Testing, Hypothesis Testing 🤖 Machine Learning: Predictive Modeling, Time Series Forecasting (ARIMA, LSTM), NLP (Sentiment Analysis, Named Entity Recognition), Deep Learning (CNN, RNN), LLM Fine-Tuning (XLM-Roberta, mBERT), Feature Engineering, Model Explainability (SHAP, LIME) ⚙️ AI Engineering: Model Deployment (Flask, FastAPI, Docker), MLOps (MLFlow, DVC), REST API Development, LLM Deployment and Integration, Cloud Deployment (AWS) 🛠️ Tools: Python, Scikit-learn, TensorFlow, PyTorch, PyMC3, ETL/ELT, PostgreSQL, MySQL, BigQuery, Snowflake, DBT, Pandas, NumPy, YFinance, Matplotlib, Seaborn, Plotly, Streamlit, Dash, Tableau, Power BI, Excel (Advanced), Git/GitHub 🌍 Domain Expertise: Financial Analytics, Healthcare Data, E-Commerce, Water Resources, Energy Markets, Telecom, Insurance, Retail/Pharmaceuticals, Generative AI/NLP When working on a new project, I prioritize clear communication with my clients to fully understand their needs and vision. This ensures that the solutions I deliver are aligned with their goals and expectations. Thank you for considering my profile. I look forward to the opportunity to work with you and contribute to your success!

💼 Results-Driven Approach I don’t just develop solutions—I drive business growth with data-driven insights and strategic decision-making. My goal? Maximize efficiency, minimize reporting efforts, and give you the clarity to make high-impact decisions. I’m a certified Power BI, Azure, and Cloud Engineering expert with over 5 years of experience delivering cutting-edge Business Intelligence (BI) and Cloud Engineering solutions for enterprises. With a track record of successful projects, I help businesses transform raw data into actionable insights, streamline reporting, and make high-value business decisions. 🔹 Reduced reporting time by 70-80% 🔹 Optimized business processes with real-time analytics 🔹 Designed enterprise-grade dashboards for finance, real estate, sales, marketing & more 🔑 Why Work With Me? 🎯 Certified & Industry-Recognized Expertise ✅ Microsoft Certified: PL-300 (Power BI), DP-203 (Data Engineering), Azure Developer ✅ Advanced skills in SQL, Python, DAX, M Code, Databricks, Snowflake, AWS, Cloud Computing, and Cloud Engineering. 💡 Custom BI & AI-Powered Solutions 🔹 Power BI & Tableau Dashboards – Interactive, real-time, and tailored for business growth 🔹 Cloud & Data Engineering – Scalable solutions on Azure, AWS, GCP 🔹 AI & Automation – Data-driven automation for efficiency & cost savings 🔹 Embedded Analytics – Seamlessly integrate dashboards into web platforms 📊 What I Deliver ✔ End-to-End BI Solutions (Data modeling, ETL, dashboarding) ✔ Enterprise-Grade Analytics (Finance, Sales, Marketing, HR, Supply Chain, Real Estate, Healthcare) ✔ Cloud & AI Integration (Azure, AWS, OpenAI) ✔ Embedded Analytics – Bring your analytics to your website or application 🚀 Let’s turn your data into a competitive edge. Message me today and let’s get started!

✅ Principal Data Architect / Lead Data Engineer (Upwork Expert ) with 17+ Years of Experience designing and implementing enterprise-grade Data Warehousing, Business Intelligence, and GCP /Azure Cloud Data Platforms. ✅ Google Cloud Platform / Microsoft Azure ✅ Data Lakehouse / Delta Lake / Data Mesh / Microsoft Power BI Fabric ✅ Python / PySpark / SQL / Airflow / dbt / Kafka / ETL-ELT Automation ✅ Power BI / Tableau / Google Looker Studio / Generative-AI BI (ChatGPT, LangChain) ✅ Data Governance & Security: Microsoft Purview / MDM / Data Quality / Metadata Management ✅ Streaming & Real-Time Analytics: Kafka / Kinesis / Pub-Sub / Flink ✅ AI-Driven Analytics & Conversational BI using GenAI / LLMs / NLP ✅ Microsoft 365 Copilot / Copilot Studio / Power Automate Integration ✅ Expert-Vetted Upwork Talent 8+ years of consistent client success on LinkedIn ✅ Still unsure? Let’s connect for a quick call — message me and let’s discuss your data transformation needs!