I lead data and analytics initiatives with over 13 years of experience in building scalable data platforms across SaaS, fintech, and e-commerce sectors. My expertise ranges from establishing data functions from the ground up to optimizing cloud data warehouses and implementing robust data modeling strategies. I leverage skills in SQL and Python to create clean, sustainable, and well-documented data pipelines that drive business transformation. I specialize in using dbt to structure and execute data transformations efficiently. If you need a seasoned professional who combines high-level architectural vision with practical development skills to enhance your data strategy, let's connect. I'm eager to discuss how I can support your project and drive value through data.

Hi, I'm a Data & Analytics Engineer with 3+ years of experience helping businesses transform raw data into reliable datasets, dashboards, and actionable insights. I specialize in designing and building end-to-end data solutions, from data ingestion and transformation to analytics-ready reporting layers. My experience includes working with large datasets, optimizing SQL queries, developing scalable ETL/ELT pipelines, and implementing modern data architectures. My expertise includes: ✔ Databricks & PySpark ✔ SQL & Query Optimization ✔ dbt (Data Build Tool) ✔ Azure Data Factory (ADF) ✔ Azure Data Lake Storage (ADLS) ✔ Data Modeling & Analytics Engineering ✔ ETL/ELT Pipeline Development ✔ Data Validation & Quality Checks ✔ Power BI & Business Reporting Over the past 3+ years, I have worked on analytics and data engineering projects involving financial, travel, and business reporting data. I have built data pipelines, implemented transformation frameworks, optimized data processing workloads, and delivered trusted datasets for reporting and decision-making. What you can expect when working with me: • Clear and proactive communication • Reliable and maintainable solutions • Focus on data quality and accuracy • Timely delivery • Business-oriented approach to problem-solving Whether you need a data pipeline, data warehouse solution, Databricks implementation, dbt project, reporting dataset, or SQL optimization, I would be happy to discuss your requirements and help you achieve your goals. Let's connect and build something valuable together.

I am a 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗨𝗽𝘄𝗼𝗿𝗸 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁, if you need to 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗺𝗮𝗻𝘂𝗮𝗹 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀, streamline data loads, migrate 𝗳𝗿𝗼𝗺 𝗼𝗻-𝗽𝗿𝗲𝗺𝗶𝘀𝗲𝘀 to 𝗔𝘇𝘂𝗿𝗲, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰, 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 or 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, generate 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗿𝗲𝗽𝗼𝗿𝘁𝘀, or perform 𝗰𝗼𝘀𝘁 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 or 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻? I have delivered 800+ metadata-driven ETL pipelines, built advanced Power BI dashboards, and migrated 3,000+ reports from Domo, MicroStrategy, and Tableau to Power BI. My experience also includes enterprise data modeling, data warehouse design, GenAI and Copilot integration, and building 500+ Power Platform applications and automations for mid-sized and enterprise organizations. 𝗣𝗼𝘄𝗲𝗿 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 | 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 | 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 | 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 | 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 | 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 | 𝗗𝗢𝗠𝗢 | 𝗪𝗲𝗯𝗵𝗼𝗼𝗸𝘀 | 𝗔𝗣𝗜𝘀 | 𝗣𝘆𝘁𝗵𝗼𝗻 | 𝗧-𝗦𝗤𝗟 | 𝗖# | 𝗗𝗔𝗫 | 𝗔𝗗𝗙 | 𝗘𝗧𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 | 𝗠𝗲𝗱𝗮𝗹𝗹𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 | 𝗦𝘁𝗮𝗿 𝗦𝗰𝗵𝗲𝗺𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 | 𝗟𝗟𝗠 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 | 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 | 𝗠𝗟𝗢𝗽𝘀 I’m a co-founder of a Microsoft Partner firm, and I don’t just code, develop, or deploy solutions — I lead a 70+ experts, fully in-house team of top-tier, homegrown senior engineers. We deliver all projects fully in-house — no outsourcing. If we can’t deliver it with our own team, we don’t take the project. We don’t just help with tasks; we own and deliver end-to-end solutions. Our model allows us to move 10× faster, with better cost efficiency, compared to large, brand-name consulting firms burdened by overhead. If you prefer working directly with senior engineers, matter experts, value performance over logos, and want a team that takes full ownership and delivers real results — let’s talk. 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 & 𝗜𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲: Built AI-driven analytics, automated workflows, and cost optimization systems for UnitedHealth Group and Molina Healthcare, improving efficiency and decision-making. Used OpenAI, GPT, Python, Fabric and Power BI 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 & 𝗕𝗮𝗻𝗸𝗶𝗻𝗴: Designed and developed secure data warehouses, data pipelines, and real-time reporting platforms covering AR, AP, GL, invoices, vendors, ledgers, and budgeting. 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲 & 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁:Delivered predictive analytics, ETL, and workflow automation across platforms including Yardi, Sage Intacct, QuickBooks, MRI, RealPage, Entrata, and Salesforce. 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴: Implemented data mirroring and integration from JD Edwards (Oracle), SAP, and on-prem SQL Server into Microsoft Fabric, enabling real time analytics for inventory management, sales performance, and supply chain operations. or need 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 that communicate seamlessly (agent-to-agent protocol) and let 𝐮𝐬𝐞𝐫𝐬 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁 with your 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 in 𝗽𝗹𝗮𝗶𝗻 𝗘𝗻𝗴𝗹𝗶𝘀𝗵 — 𝗻𝗼 𝗰𝗼𝗱𝗶𝗻𝗴 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱? We design and build end-to-end AI automation solutions that handle everything from natural language database interaction to workflow automation, data pipeline orchestration, and real-time analytics. Other Skills: Microsoft Fabric Expert, Microsoft Fabric, Microsoft Fabric specialist, Power BI Desktop models, Excel files, SQL data warehouse, Power BI Desktop, Microsoft Fabric semantic models, Excel, OneDrive, SharePoint integration, Microsoft Power BI, Microsoft Azure, Data Warehousing, ETL, SQL, Data Analysis, ETL Pipeline, Fabric, dbt, Microsoft Fabric Data Engineer, ETL Pipeline, PySpark, Data Modeling, lakehouse, Data Ingestion, spark-based notebooks, powerbi, SQL, Python, Power Query, ETL Pipeline, Data Modeling, Lakehouse, Data Ingestion, Power BI, Power Query, SQL, Microsoft Power BI Data Visualization, Fabric Dataflows, Fabric Pipelines, Fabric Integration, Data Engineering with Fabric, Microsoft Data Platform, Databricks Tutor, Databricks, Databricks Platform, Databricks MLflow, AI Agent Development, Databrick Engineer, Databricks Platform, Databricks Expert, databricks integration, Snowflake integration, Snowflake, Databricks test, Databricks notebook, ETL Specialist, ETL, Data Warehousing, AWS, GCP, Azure Databricks, Azure Data Engineer, ETL Pipeline, ETL Developer, Data Warehousing & ETL Software, ETL Software, Informatica, Informatica cloud, Informatica PowerCenter, ETL solutions, including ETL, pipelines, Senior Data Engineer, Data Architect, Data engineer experts, Experienced Data Engineer, Apache Spark, Apache Spark ecosystem, AWS Glue, AWS Big Data, ETL Data Transformation, Data Pipelines, Azure DataBricks, AI Agents, AI Automation & Agent, AI Senior Agent, AI Agent Development, n8n, NLP, Generative AI, Agent GPT, Large Language Model, NLP PIPELINES, PROMPT ENGINEERING, ChatGPT, GPT-4 API, Generative AI Developer, AI Agentic Chatbot, Agentic AI Developer

I help companies transform raw data into reliable, actionable insights. With 5+ years of experience spanning business analysis, operations management, and analytics, I specialize in designing and building end-to-end analytics solutions that support decision-making, reporting, and business growth. My expertise includes data modeling, SQL development, analytics engineering, dashboard creation, process optimization, and business intelligence. I have hands-on experience working with modern data tools including SQL, Python, dbt, Snowflake, Airflow, Power BI, Tableau, and cloud-based data platforms. I can help you: - Design and build data warehouses and dimensional models - Develop SQL queries, data transformations, and ETL/ELT pipelines - Create executive dashboards and business intelligence reports - Perform data analysis and uncover actionable business insights - Build analytics engineering solutions using dbt, Python, and modern data stacks - Improve data quality, governance, and reporting processes - Automate reporting workflows and operational analytics My background in both business operations and analytics allows me to communicate effectively with technical and non-technical stakeholders while delivering solutions that create measurable business value. Whether you need a dashboard, a data model, an analytics pipeline, or support turning complex business requirements into data solutions, I am committed to delivering high-quality work on time and with clear communication. Let's discuss how I can help you leverage your data more effectively.

-- Professional Overview: I am a skilled Data Scientist with a solid foundation in programming languages such as Python, R, and SQL. My expertise extends to Deep Learning and Machine Learning frameworks, including TensorFlow, Natural Language Processing (NLP), Generative AI, and essential data science libraries such as scikit-learn, NumPy, Pandas, Matplotlib, PySpark, FastAPI, Flask, and Streamlit. I have successfully navigated the realms of data science pipelines, covering data cleansing, wrangling, visualization, and modeling. -- Key Skills: Programming Languages: Python, R Machine Learning & NLP: Scikit-Learn, Numpy, Pandas, Matplotlib, PySpark, Databricks, Spacy, Transformers Deep Learning & GenAI: PyTorch, Tensorflow, Langchain, Cohere Deployment: Streamlit, Flask, FastAPI, MLFlow, DVC, MLOps, CI/CD Data Science & BI: SQL(MySQL, MS Server), Airflow, DBT, SSIS, ETL, Modelling, NoSQL, Tableau, Power BI, Excel, Data visualization, Data modelling, Database design, Data warehouse management, Snowflake, Statistics, Docker, Time series, Experimental design, Hypothesis testing, Web Scraping, Pattern Recognition Familiar with: Cloud Computing, BigQuery, Amazon SageMaker, Azure Databricks, S3 bucket -- Professional Experience: WorldQuant University, Remote Applied Data Science Lab - Internship | May 2023 - May 2023 _______________________________________________________________ Successfully completed 8 data science projects, demonstrating mastery in data manipulation, visualization, machine learning, time series analysis, supervised and unsupervised learning, PCA, statistical analysis, hypothesis testing, and experiment design. -- Projects: Customer Segmentation | August 2024 - August 2024 _________________________________________ Developed a customer segmentation strategy focused on tailoring marketing efforts to specific demographics. Prioritized female customers and seniors (60+ years), while creating targeted campaigns for artists and healthcare professionals at entry and mid-career levels. Addressed family-oriented promotions for families with 1-4 members. The segmentation identified three key customer groups: 30% Well-Off, 36% Standard, and 34% Fewer Opportunities. Comprehensive Sales Performance Enhancement | July 2024 - July 2024 ________________________________________________________ Led an initiative to enhance sales performance, resulting in a total sales increase of 39% YoY, reaching $23.80M with $21.94M in profit. Store sales emerged as the highest contributor ($13.7M), followed by strong growth in online ($5.0M) and mobile ($2.1M) channels. Promoted top-selling categories like Computers ($9.1M) and Cameras ($6.9M). Seasonal discount promotions generated $16.08M, accounting for 67.55% of total sales. Early Depression Detection via Social Media | July 2024 - July 2024 ___________________________________________________ Developed a machine learning model utilizing sentiment analysis for early depression detection in social media posts. Implemented BERT-BASE-UNCASED to analyze language patterns with high accuracy, enabling early intervention strategies for mental health professionals. Search within YouTube Video (Gemini & LangChain) | July 2024 - July 2024 ________________________________________________________ Created an advanced search tool for navigating within YouTube video transcripts using Gemini and LangChain technologies. Embedded transcripts with YoutubeLoader and split them into chunks via RecursiveCharacterTextSplitter. Indexed chunks with FAISS to allow rapid similarity searches and implemented a query system using Google's embeddings Customer Analytics | Sep 2023 - Sep 2023 _________________________________ Employed hierarchical and K-Means clustering to segment customers, revealing key insights into customer behavior and preferences. Conducted comprehensive descriptive analysis and addressed critical questions using price elasticity models. Chatbot App | Aug 2023 - Aug 2023 ____________________________ Developed a chatbot using Flask and Python, incorporating deep learning to provide personalized responses to user queries. Customer Personality Analysis | July 2023 - July 2023 _________________________________________ Identified the most effective campaign and discovered intriguing patterns in customer behavior, contributing to improved resource allocation strategies. -- Education: Bachelor's degree, Information Systems | Beni Suef University | Beni Suef, Egypt _________________________________________________________________________________ I am dedicated to delivering data-driven insights and solutions, leveraging a strong academic background and hands-on experience in various data science domains. Let's collaborate to transform data into actionable intelligence.

I build robust data infrastructures that empower analytics. With over 6 years of experience in BI and data engineering, I design end-to-end solutions that transform raw data into actionable insights. My expertise includes modeling data warehouses with both star and snowflake schemas, creating reliable ETL/ELT pipelines, and crafting self-service Power BI dashboards that users can trust. Proficient in Snowflake, dbt, and SQL, I excel in adapting to various tech environments, leveraging deep knowledge of the Microsoft ecosystem. I focus on translating complex business requirements into efficient data models, ensuring performance and scalability from inception. If you're looking for a data professional who bridges the gap between technical execution and business needs, let's connect and discuss how I can elevate your analytics capabilities.

I'm a Data Engineer & Data Analyst specializing in building reliable data systems and turning raw data into meaningful insights. I design and develop end-to-end data pipelines, optimize databases, and automate workflows using modern tools such as Python, SQL, Spark, Airflow, BigQuery, Google Cloud Platform, AWS, and Docker. My work focuses on creating scalable architectures that ensure data accuracy, performance, and availability for analytics and business decision-making. On the analysis side, I transform complex datasets into clear dashboards and reports, uncover trends, and apply statistical methods to solve business problems. I work with structured and unstructured data, perform data cleaning, modeling, visualization, and advanced analytics, delivering insights that help companies grow efficiently. Whether you need to: Build or fix data pipelines (batch or streaming) Design data warehouses or lakehouse solutions Optimize Postgres, BigQuery, or other databases Create analytics dashboards (Looker, Power BI, Tableau, etc.) Process large datasets (ETL/ELT) Or extract insights from your data …I can help you deliver it efficiently and professionally. I'm detail-oriented, solution-driven, and committed to writing clean, maintainable code with full transparency and communication throughout the project. Let’s work together to unlock the full potential of your data 🚀

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.

I'm a Data Engineer with experience building data pipelines, data warehouses, and analytics solutions for SaaS, eCommerce, fintech, and other data-driven businesses. I help companies turn raw data into reliable, actionable insights by designing and maintaining ETL/ELT pipelines, data models, and reporting systems. My focus is on building scalable, efficient, and reliable data platforms that support business growth and decision-making. Whether it's integrating data from multiple sources, improving data quality, automating workflows, or optimizing existing systems, I enjoy solving data challenges and delivering practical solutions that create real business value. What I Can Help You Build • ETL & ELT Pipelines • Data Warehouses & Lakehouses • Analytics & Reporting Platforms • Data Integration Solutions • Real-Time Data Processing Systems • Data Quality & Validation Frameworks • Monitoring & Alerting Infrastructure • Business Intelligence Data Models • API, Webhook & Third-Party Integrations • Cloud-Based Data Platforms Core Technologies Data Engineering: Python, SQL, PySpark, Airflow, dbt, Pandas Data Platforms: Snowflake, Databricks, PostgreSQL, Redshift, BigQuery Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, Terraform, CI/CD Analytics & BI: Tableau, Power BI, Looker My key strengths include building reliable ETL/ELT pipelines and designing scalable data warehouses that turn complex, messy data into structured, usable systems. I’m especially strong at finding and fixing root causes in broken data pipelines and making systems more stable, observable, and production-ready over time. If you need my help, let's discuss - I am open to consultation

I'm an AI/ML Engineer and Data Scientist with 15+ years of experience building intelligent AI solutions and scalable data pipelines. I specialize in production-grade GenAI systems, advanced analytics, and enterprise-scale data infrastructure. I build end-to-end solutions - from big data pipelines processing terabytes to RAG systems and predictive ML models - that transform raw data into actionable intelligence and automated business value. 💡 Core Competencies: ✨ Generative AI & LLMs - Expert in GPT, Claude, Gemini Pro, LLaMA, Mistral. Specialized in prompt engineering, fine-tuning, and building production GenAI applications. ✨ RAG Systems & Vector Databases - Architecting advanced Retrieval-Augmented Generation pipelines using Pinecone, Weaviate, ChromaDB, Qdrant, Milvus. Expert in semantic search, chunking strategies, and hybrid retrieval systems. ✨ Machine Learning & Data Science - Developing predictive models, recommendation systems, time series forecasting, anomaly detection, and classification solutions. Deep expertise in feature engineering, model optimization, and statistical analysis. ✨ Big Data Pipelines & Engineering - Building robust ETL/ELT pipelines processing terabytes using Apache Spark, Airflow, Kafka, and modern data stack. Expert in data warehousing (Snowflake, Redshift, BigQuery), streaming, and distributed computing. ✨ MLOps & Production Systems - Deploying enterprise ML pipelines with monitoring, CI/CD automation, and scalable infrastructure using Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). 🛠 Technical Stack: ML & Data Science: TensorFlow, PyTorch, Scikit-learn, XGBoost, CNNs, Transformers, Computer Vision, NLP, Time Series Generative AI: GPT-4o, Claude, LLaMA, LangChain, LangGraph, LlamaIndex, RAG, Vector Search, Fine-tuning Voice AI: Whisper, ElevenLabs, PlayHT, Deepgram, AssemblyAI, Speech-to-Text, Text-to-Speech, Voice Cloning, Real-time Voice Agents Big Data: Apache Spark, Airflow, Kafka, Flink, Databricks, dbt, Delta Lake, Real-time Streaming Data Infrastructure: Snowflake, Redshift, BigQuery, PostgreSQL, MongoDB, Redis, S3, Data Lakes Vector DBs: Pinecone, Weaviate, ChromaDB, Qdrant, Milvus, FAISS MLOps: MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI, Docker, Kubernetes, Model Monitoring Analytics: Pandas, NumPy, Tableau, Power BI, Jupyter, Statistical Modeling Languages: Python, SQL, Scala, PySpark 🎖 Key Achievements: • Architected big data platform processing 2TB+ daily across distributed pipelines, reducing processing time by 75% • Implemented RAG system improving information retrieval accuracy by 85% and reducing response time by 70% • Deployed GenAI solution processing 500K+ daily requests with intelligent caching, reducing LLM costs by 55% • Created predictive models increasing revenue forecasting accuracy by 40% and enabling proactive business decisions • Designed data lakehouse architecture unifying structured and unstructured data, enabling advanced analytics for 500+ users • Developed automated feature engineering pipeline reducing model development time by 60% and improving feature quality • Implemented ML monitoring system detecting model drift and data quality issues, maintaining model performance in production 🚀 What Sets Me Apart: → Full-Stack Data & AI Expertise: From data ingestion to ML model deployment, I handle the complete data science and engineering workflow → Production-First Mindset: Building scalable, maintainable systems designed for reliability, performance, and real-world business conditions → Business-Focused Solutions: Every technical implementation is aligned with measurable business outcomes and ROI → Data Quality Obsession: Ensuring data integrity, governance, and observability across all pipelines and models → Clear Communication: Translating complex technical and statistical concepts into actionable insights for technical and non-technical stakeholders → Continuous Learning: Staying current with the latest advances in AI, ML research, and data engineering best practices Ready to transform your data into intelligent, automated systems. Let's discuss your goals!