Senior AI, Data & BI Full-Stack Engineer with 10+ years of experience delivering intelligent, data-driven platforms. I help companies transform raw data into powerful AI solutions, scalable data pipelines, and insightful BI dashboards that drive business decisions. From AI model development and LLM integrations to enterprise data architecture and full-stack analytics platforms, I deliver end-to-end solutions used by startups, SaaS companies, and enterprise organizations. I specialize in building production-ready AI systems, modern data platforms, and real-time analytics infrastructures. What I Can Help You Build AI & Machine Learning - Large Language Model (LLM) applications - Retrieval Augmented Generation (RAG) - AI agents & automation - NLP systems - Recommendation engines - Predictive analytics - Computer vision models - Model training, fine-tuning & deployment - AI SaaS products Tools: Python, PyTorch, TensorFlow, HuggingFace, LangChain, LlamaIndex, OpenAI API Data Engineering & Data Platforms - End-to-end data pipeline development - Data warehouse architecture - ETL / ELT pipelines - Real-time data streaming - Data lake implementation - Big data processing - Data governance & optimization Tools: Apache Spark, Airflow, Kafka, dbt, Snowflake, BigQuery, Redshift, Databricks Business Intelligence & Analytics - Executive dashboards - KPI reporting systems - Self-service BI platforms - Data modeling & semantic layers - Data visualization - Financial / operational analytics BI Tools: Power BI, Tableau, Looker, Superset, Metabase Full-Stack Data Applications - AI-powered SaaS platforms - Data APIs - Analytics web applications - Internal data tools - Backend systems for AI products Tech Stack: - Python, FastAPI, Django, Node.js - React, Next.js, TypeScript - PostgreSQL, MongoDB, Redis - Docker, Kubernetes, AWS, GCP, Azure Cloud & Infrastructure: - AWS, GCP, Azure - Terraform, Kubernetes, Docker - CI/CD, MLOps, DataOps Why Clients Work With Me: - Architect scalable AI and data platforms - Build production-grade systems (not just prototypes) - Clear communication and documentation - Enterprise-level security and performance optimization - Long-term technical partner mindset Example Projects: - AI knowledge assistant using RAG + LLM + vector databases - Real-time data pipeline processing millions of events/day - Enterprise Power BI analytics platform for financial reporting - ML model predicting customer churn with 92% accuracy - AI automation tools saving companies 100+ hours/month Industries Worked With: - FinTech - SaaS - Healthcare - E-commerce - Marketing Analytics - Logistics & Supply Chain Let’s Build Something Intelligent If you need help with: - AI product development - Data platform architecture - Machine learning systems - BI dashboards & analytics - End-to-end data infrastructure Send me a message and let's discuss your project.

Most companies are drowning in data but starving for insights. Dashboards are slow, reports contradict each other, and analysts spend too much time cleaning messy data instead of generating insights. I help startups and growing businesses build reliable data pipelines, clean data models, and powerful dashboards so they can finally trust their numbers and make faster decisions. My work combines Data Engineering, Analytics Engineering, and Data Analytics — meaning I don’t just move data, I structure it so it becomes immediately usable for reporting, product analytics, and business intelligence. Problems I Help Solve Clients typically come to me when they face issues like: • Slow or manual reporting processes • Conflicting numbers across departments • Data scattered across multiple tools • No centralized data warehouse • Unreliable ETL pipelines • Dashboards executives don’t trust • Analysts spending too much time cleaning data I design scalable data pipelines and analytics systems that turn messy data into reliable, decision-ready insights. What I Can Help With Data Engineering ETL / ELT pipeline development Data warehouse design API data integration Automated data workflows Database and query optimization Analytics Engineering Data modeling with dbt Analytics-ready datasets Metrics layer for BI tools Data quality testing and documentation Data Analytics & BI Interactive dashboards KPI and executive reporting Product and marketing analytics Cohort and funnel analysis Tech Stack SQL • Python • dbt • ETL Pipelines Power BI • Data Warehousing • APIs • Excel Results I Help Clients Achieve ✔ Reduce manual reporting by up to 90% ✔ Build a single source of truth for company data ✔ Create real-time dashboards for faster decision making ✔ Design scalable data infrastructure for growing businesses If your team is struggling with messy data, slow reporting, or unreliable dashboards, I can help you build a data system that actually works.

# Scott | Data Engineer & Data Scientist Data Engineer specializing in Amazon Redshift, ETL pipelines, and scalable analytics workflows. I help businesses transform raw data into clean, reliable, analytics-ready datasets using Python, SQL, dbt, Airflow, and AWS. My focus is building production-grade pipelines that are fast, maintainable, and designed for long-term scale. Core expertise: • ETL/ELT pipeline development • Amazon Redshift warehouse design and optimization • dbt data modeling • Airflow workflow orchestration • AWS-based data architecture • BI-ready and ML-ready dataset preparation Tech stack: Python, SQL, dbt, Apache Airflow, Amazon Redshift, AWS Lambda, S3, Athena, BigQuery, Snowflake, PostgreSQL, MLflow, Power BI, Looker If you need a clean, scalable, and reliable data workflow, I can help.

I build resilient, data frameworks that reduce engineering overhead and scale with your business. Having architected high-volume pipelines for major retailers like Overstock, Bed Bath & Beyond, and the Larry H. Miller Group, I specialize in designing decoupled ingestion mechanisms and fault-tolerant Medallion architectures (Bronze, Silver, Gold) that turn raw data into a strategic asset. I don't just move data — I build systems. Unlike many who build one-off scripts, I focus on framework-based solutions. This means your data infrastructure is automated, self-healing, and easy to maintain, allowing your team to focus on insights rather than troubleshooting brittle pipelines. Core Expertise Architectures: Medallion (Lakehouse), Metadata-Driven ETL/ELT. Cloud & Warehousing: Snowflake, Microsoft Fabric, Google BigQuery, Azure SQL. Orchestration: Control-M, Apache Airflow, Fabric Data Pipelines. Languages: Expert Python (pyodbc, JSON parsing), Advanced SQL (T-SQL, BigQuery, Snowflake). AI & Automation: Azure AI Document Intelligence (OCR) & Automated Invoice Processing. Proven Impact Enterprise Retail: Developed end-to-end pipelines for Overstock and LHM, optimizing pipeline runtime from over an hour to under 3 minutes across complex warehouse workflows. Data Migration: Leading the full-scale migration from Epicor Eagle to Genetiq ERP, ensuring zero data loss and optimized schema transition. Framework Automation: Developed automated Lakehouse solutions using Spark and Microsoft Fabric for the Lineage project, eliminating manual ingestion bottlenecks at scale. Whether you are migrating from legacy systems like Epicor or building a modern stack in Snowflake or Fabric, I provide the architectural blueprint and the code to make it happen. Ready to scale your data infrastructure? Click the 'Message' or 'Invite' button to discuss your project.

Data Scientist & AI/ML Engineer with 5+ years in building systems that think, predict, and automate; not just API calls. I take raw, messy and unstructured data and turn it into production-ready pipelines, predictive models, and executive dashboards that drive decisions. I design and ship end-to-end data and ML systems: reducing time-to-insight from weeks to hours, automating workflows that used to take entire teams, and building models that directly feed revenue. If your business runs on data, I make it generate revenue, not just reports. 🔧 Core Expertise 1. Data Analytics & BI : Exploratory analysis, KPI frameworks, executive dashboards, A/B testing, cohort analysis (Excel, Power BI, Tableau, Plotly, Looker) 2. Data Science & ML : Predictive modeling, forecasting, statistical analysis, feature engineering, model validation and deployment (Scikit-Learn, PyTorch, TensorFlow, MLflow, AWS SageMaker) 3. Data Engineering : End-to-End pipelines, ETL/ELT automation, data warehousing, real-time and batch processing (Snowflake, Databricks, dbt, Apache Spark, Airflow) 4. Generative AI : RAG pipelines, LLM fine-tuning, agentic workflows, semantic search, prompt engineering, vector databases (LangChain, LlamaIndex, Pinecone, FAISS, OpenAI, HuggingFace) 5. Automation : Workflow orchestration, API integrations, intelligent agents, process automation, web scraping (n8n, Airflow, Lambda, Selenium, BeautifulSoup) 6. Cloud & Infrastructure model deployment, scalable data systems, serverless pipelines, storage and compute (AWS- SageMaker, EC2, S3, Lambda, RDS) 💡Why Clients Work With Me Most data projects fail not because of bad data, but because the person handling it understands models but not business. I bridge both. 5+ years solving real business problems with AI and data means I understand the business problem before I touch the data, and I build solutions that solve it end to end. I communicate at every step, flag issues before they become problems, and make sure what I build fits your workflow, your team, and your timeline. What you get is senior expertise, fast turnaround, and work that is built to last beyond the contract. Let's Talk If you have data that is not working hard enough for your business, that is exactly the problem I solve. Send me a message describing your project, and I will respond within an hour.

Experienced data analyst with 4 years of proficiency in Python, R, SQL, Tableau, and Looker. Skilled in research, data visualization, and machine learning. Demonstrated achievements in data retrieval (20% improvement), report runtime (90% reduction), ADHD treatment efficacy (30% increase), and resource optimization (15% enhancement). Successfully implemented machine learning for marketing campaigns (20% effectiveness) and front-end dashboards (10% impact). Integrated data sources for faster processing (30% faster) and improved data accuracy and efficiency (28% gain). ⭐ Here's what sets me apart: ✔️ Expertise in Python, R, SQL, Tableau, Looker, Google Analytics 4, Excel, SPSS, and more! ✔️ Skilled in data migration via GCP, Azure, Snowflake, MYSQL, and PostgreSQL. 🌍 Passionate about making a positive impact, I have successfully worked on diverse projects: ✅ Developed machine learning models to predict customer behavior, sales forecast, and CRM campaigns. ✅ Created stunning visualizations and reports from structured & unstructured data. ✅ Designed and implemented robust data pipelines using dbt in a controlled environment like Git. ✅ Developed efficient data storage and retrieval systems. ✅ Ensured top-notch data quality and security. 🎁 My Offerings: ✔️ Data Analysis/Visualization Software: Looker, Tableau, Looker Studio, Databox ✔️ Programming languages: R, Python, SQL ✔️ Databases: MySQL, Microsoft SQL, PostgreSQL, AWS Redshift ✔️ Big Data: PySpark, Big Query ✔️ Cloud Servers: AWS, GCP ✔️ Machine Learning & Data Mining & DL: Regression, Classification, Clustering, Text Mining, CNN, RNN models 💥 Drive your business forward with my exceptional skills and dedication. I bring: ✔️ Motivation and a results-oriented mindset. ✔️ An eye for data patterns that others may miss. ✔️ Clear and concise communication of insights. ✔️ Collaboration with cross-functional teams. 🚀 Let's Achieve Your Data-Related Goals Together! 🌟 Interested in learning more about my skills and experience? Contact me today! I am excited to hear from you. 📩

🌟 Top 1% Expert-Vetted Freelancer 🌟 A true technology generalist with a background in engineering, education, and machine learning. Whether you need help building data/LLM pipelines, strategizing and architecting applications, or removing bottlenecks within your business, I'm here to help! 🎯 I have experience building solutions across multiple industries: - Legal Tech - Admin Automation - Health + Medicine (US Markets) - Ecommerce - Education Technology - AgTech - Manufacturing - AdTech - MarOps - CRM + Sales 🔭 I'm passionate about: - Building human-centered AI-augmented solutions 🧠 - Testing business hypotheses and strategizing production roadmaps 🧪 - Developing adaptable, future-proof infrastructure 🌉 - White-boarding 🗺️ - Bridging the gap between technical and non-technical stakeholders 🤝 - Supporting technical talent acquisition initiatives 🌟 Things I've been working on: - Massive data scrapers, data orchestration hubs, and org data dashboards that allowed teams to enrich multi-terrabyte datasets with external data sources, allow sales teams to close 37% extra sales every month. - Agentic systems and other LLM-powered applications responsible for monitoring document ingestion, creation, and editing to manage website-hosted content, reducing time requirements for existing maintenance by staff by over 50% - Deploying and maintaining self-hosted infrastructure for companies via open-source alternatives to popular SAAS web apps, saving an average of 19000 USD per year. - Client-facing reporting automation software that reduced report generation lead-times from 2-4 weeks to same day via automated data processing that reduced manual data processing time by 95%. - Cross-platform automations via code and Zapier to eliminate manual data duplication across disparate web applications via background data synchronization - Mobile/Web Apps with greater than 2,000 Monthly Active Users 🔬 My skillsets/tech stacks: Programming Languages & Core Technologies Python (Advanced - Data Engineering, ML, Automation) SQL (Advanced - Data Analysis, Database Management) PySpark (Big Data Processing) JavaScript/TypeScript (Frontend Development) Node.js (Backend Development) AI & Machine Learning LangChain (LLM Applications) OpenAI API (GPT Integration) Claude API (Anthropic AI) AWS Bedrock (Enterprise AI) Prompt Engineering (Advanced) Model Fine-tuning (Custom AI Solutions) Natural Language Processing (NLP) Computer Vision (CV Applications) Cloud Platforms & Infrastructure AWS (Lambda, S3, Glue, Step Functions, CloudFormation) Google Cloud Platform (GCP - Vertex AI, ML Deployment) Microsoft Azure (Data Factory, Functions, App Services, SQL) Docker (Containerization) Terraform (Infrastructure as Code) Kubernetes (Container Orchestration) Data Engineering & Analytics Apache Spark (Big Data Processing) Apache Airflow (Workflow Orchestration) Prefect (Data Pipeline Automation) DBT (Data Transformation) LookML (Looker Modeling) Data Warehousing: Snowflake, BigQuery, RedShift ETL/ELT Pipelines (Scalable Data Processing) DevOps & CI/CD GitHub/GitLab (Version Control) CircleCI (Continuous Integration) Nginx (Web Server Configuration) Azure DevOps (CI/CD Pipelines) Infrastructure Automation (95%+ error reduction) Web Technologies & APIs FastAPI (High-performance APIs) React (Frontend Development) API Integration (RESTful Services) Web Scraping (Scrapy, Selenium, BeautifulSoup) OAuth2 Implementation (Secure Authentication) Data Visualization & BI Power BI (Business Intelligence) Tableau (Advanced Analytics) Custom Dashboards (Data-driven Decision Making) Databases & Storage MongoDB (NoSQL) Azure SQL Database (Relational) Azure Data Lake Gen2 (Big Data Storage) S3 (Object Storage) Specialized Skills Chatbot Development (80% support ticket reduction) Healthcare Data Analytics (Claims Processing) Multi-tenant Architecture (Scalable SaaS Solutions) Real-time Data Processing (Event-driven Architecture) Web Automation (Selenium, Custom Scripts) Hardware Prototyping (Arduino, Raspberry Pi) 📞 Ready to discuss your project? Book a consultation with me today! 📅

Welcome to My Profile! Are you seeking a seasoned Data Engineer with a proven track record of delivering exceptional results? Look no further! With over 9 years of hands-on experience in Data Engineering and Data Warehousing, I bring a wealth of expertise to the table. Who Am I? I'm Waleed Malik, a dedicated and results-driven professional specializing in ETL & Data Warehouse Development, Data Engineering, and Data Analytics. Throughout my career, I've had the privilege of working with multinational organizations, managing vast amounts of data on a daily basis, and spearheading complex projects from conception to completion. What Sets Me Apart? My passion for data and relentless pursuit of excellence set me apart in the field. I thrive on challenges and am committed to delivering top-notch solutions tailored to meet your specific needs. Whether you're looking to build robust data pipelines, implement self-service BI solutions, or design bespoke data warehouses, I've got you covered. Why Should You Hire Me? Proven Expertise: With a solid background in SQL, AWS, Python, and other cutting-edge technologies, I have the skills and know-how to tackle even the most demanding projects. Reliability: I pride myself on my professionalism, integrity, and commitment to excellence. You can trust me to deliver high-quality work on time, every time. Clear Communication: Effective communication is key to any successful project. I provide regular updates, solicit feedback, and ensure that we're always on the same page. Customer Satisfaction: Your satisfaction is my ultimate goal. I go above and beyond to ensure that you're happy with the end result, offering a 100% money-back guarantee if you're not completely satisfied. Long-Term Support: I believe in building lasting relationships with my clients. Even after the project is completed, I'm here to provide ongoing support and assistance as needed. Let's Work Together! Whether you're embarking on a big project or need assistance with smaller tasks, I'm here to help. From data modeling and analysis to cloud server management and everything in between, I've got the skills and expertise to bring your vision to life. Let's collaborate to turn your data into actionable insights and drive your business forward. Get in touch today, and let's make great things happen together!

I’m a senior data engineer/solutions architect with a rigorous background in mathematical physics and over $70,000 earned on Upwork. I build production-grade lakehouse platforms, scalable ELT/ETL, and ML/MLOps—with deep, hands-on experience in Google BigQuery and Azure Databricks. I’ve delivered in both enterprise (EY-Parthenon, PwC, Amazon) and startup environments, combining Fortune-500 reliability with startup speed and pragmatism. Why clients hire me: - BigQuery at scale (fast & cost-efficient). Designed serverless ELT on BigQuery + dbt with CI/CD that cut processing costs by ~5× and powered near-real-time marketing analytics (GA4, Google Ads, Facebook Ads, Bing Ads, Shopware) in Looker Studio. - Healthcare & interoperability on Azure Databricks. Built an openEHR-driven research data platform on Azure Databricks, standardized multi-team deployments with Databricks Asset Bundles (DABs), and enforced Unity Catalog governance (RBAC + row filters). End-to-end MLOps with MLflow/Model Registry for risk models. - Enterprise-grade warehousing & CI/CD. Parameterized Synapse deployments; incremental ELT from SAP/CRM APIs with pagination/parallelism—runtime reductions ~5×. - Analytics acceleration. Improved Power BI refresh/report performance ~6× via Azure SQL tuning plus robust ADLS + ADF pipelines with CI/CD. - Proven Upwork delivery. Long-term API integration & data engineering: $44,246.67 on a single engagement (consistent 5★ track record across projects). Core services - BigQuery & GCP: Serverless ELT/ETL with dbt, Cloud Functions, Dataflow; marketing/CRM ingestion to BigQuery; cost/perf modeling; near-real-time dashboards (Looker Studio). - Azure & Databricks: Lakehouse (medallion), Unity Catalog governance, Synapse warehousing, ADF (schema drift/SCD), MLflow MLOps, DABs for IaC. - Interoperability & APIs: HL7 ↔ FHIR ↔ openEHR, REST integrations (SAP/CRM), Ads/GA4 pipelines, Google Apps Script/Node.js. Selected project highlights (Upwork & enterprise) - $44K+ long-term API integration & data engineering (Apps Script + Node.js). - BigQuery marketing & analytics stack: multi-channel ingestion, dbt modeling, CI/CD; costs down ~5×, near-real-time dashboards. - Azure lakehouse & MLOps: openEHR data hub on Databricks with DABs + Unity Catalog; MLflow-driven pipelines. - E-commerce data warehouse: end-to-end build with ML features (k-means, ARIMA/LSTM) for decision support. Certifications - Databricks Certified Data Engineer Professional - Microsoft Certified: Azure Data Engineer Associate (DP-203) - GCP coursework: Big Data & ML fundamentals / modern data warehousing Toolbox - Languages: SQL (advanced SPs/windowing/dynamic SQL), Python (pandas/PySpark/FastAPI), Spark - GCP: BigQuery (advanced), Cloud SQL, Dataflow, Cloud Functions - Azure: Synapse, ADF, ADLS Gen2, Unity Catalog, Purview, Fabric - Databricks: DABs, Workflows, MLflow, Lakehouse governance - Orchestration: dbt (advanced macros), ADF (schema drift/SCD), Airflow (basic) - Visualization: Power BI, Looker Studio, Superset, Tableau

Hi there — I’m Mohamed Elmougith, a Senior Data Management & BI Consultant with over a decade of experience helping organizations turn complex, scattered data into reliable, decision-ready insights. I specialize in Data Governance, Engineering, and Reporting, combining business understanding with technical execution across the full data lifecycle — from architecture and modeling to visualization and governance. 🔹 What I Do Best 🔵Design and build robust data architectures — Data Lakes, Warehouses, and Marts using Python, SQLModel, PostgreSQL, and SSIS / ADF. 🔵Develop ETL/ELT pipelines for ERP ecosystems such as SAP S/4HANA, Oracle EBS, and Maximo. 🔵Deliver insightful Power BI dashboards and performance-optimized DAX models for executive reporting. 🔵Implement data governance frameworks — policies, data quality monitoring, lineage tracking, and stewardship workflows using tools like OpenMetadata and custom Python automations. 🔵Advise leadership teams on Data Strategy & Operating Models, aligning technology with business objectives. 🔹 Beyond Consulting I’m also a Tutor-Reviewer at TripleTen, mentoring professionals in BI, analytics, and data architecture. 🔹 My Approach I work as a partner, not a vendor — helping clients design solutions that are maintainable, well-governed, and built for the long term. My goal is to make your data environment simpler, smarter, and more transparent. If you’re looking for a consultant who can bridge business strategy, data governance, and engineering execution, let’s connect.