☑️ 𝗤𝘂𝗮𝗹𝗶𝘁𝘆-𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 ☁️ 𝗰𝗹𝗼𝘂𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 & 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 🔒 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗱𝗼𝗻𝗲 𝗿𝗶𝗴𝗵𝘁 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝘁𝗶𝗺𝗲. 🎯 10+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, 80K 𝗨𝗦𝗗+ 𝗶𝗻 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝗮𝗻𝗱 𝗺𝗮𝗻𝗮𝗴𝗲𝗱. 𝗘𝘅𝘁𝗲𝗻𝘀𝗶𝘃𝗲 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟱𝟬𝟬 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. ☑️ 📞 Invite me to your job, and we can book a complimentary 30-minute consultation together that’s earnestly helpful. 📞 Microsoft Fabric | MS Fabric | Azure Function | Azure Synapse | Azure Data Factory | Azure Key Vault | Azure APIM | Azure Analysis Services | Azure SQL Database | Azure Open API Azure Sentiment Analysis | Azure Large Language model | Azure Logic Apps | Azure Active Directory (Entra) | Azure data lake storage | Azure Blob Storage | Azure Cost Optimization | Cost Analyst Power BI | Mquery| DAX | Dax Studio | Tabular Editor | Perfomance Analyser | SQL Profiler You have the option to hire someone cheaper who will take 5 times longer to complete the job correctly. Alternatively, you can hire me, an expert, to efficiently deliver the perfect solution while you relax. Consider me your cloud solution, Advil – I consistently alleviate headaches rather than create them. ✅ What I do -: Take your raw data, process it, and present it in a meaningful and reproducible way, while keeping you aware of what's happening (in plain language, if you're a non-tech person) and working together with your team (if you already have a tech structure) on every step of the process - from data extraction to final presentation. -: I enjoy solving complex data issues with my skill set. My passion is data readiness and making data "work" for my clients. -: Performance Tuning: Performance tuning is what I love to do. I have worked on a few tables that had 1 billion records. I am an expert in table partitioning, including indexing and other related topics. ✅ Offering the services: -: Data analytics -: Full-stack Power BI solution development -: PowerQuery and M language programming -: Dashboard design and implementation -: Data Extraction -: Database Architect -: END-TO-END BI Solution Design -: Performance Tuning -: Table Partitioning -: Automation of almost everything in Bi Solution. ✅ Programming Languages -: Python, C#, Java, Google App Script, PowerShell, Batch Scripting, DAX, MDX ✅ Databases: -: Microsoft SQL Server (2008 to 2019) (Microsoft certified) -: Azure SQL Server -: Azure Data Warehouse -: Cosmos DB -: MySQL -: PostgreSQL -: Oracle -: MongoDB ✅ ETL -: SSIS (SQL Server Integration Services) -: ADF (Azure Data Factory) -: ADB (Azure DataBricks) -: AirByte -: AirFlow -: Domo -: Alteryx -: Tableau Prep Builder ✅ Reporting -: Microsoft Power BI -: Google Data Studio -: DevExpress -: DOMO -: Metabase ✅ Analytics -: SSAS (Multidimensional and tabular cube) -: Azure Data Bricks -: Azure Analysis Services -: DBT ✅ API Data Pull Implementation -: Shopify -: Magento -: NetSuite -: PeopleVox -: SmartLPA -: Tempo/Jira -: GitLab/GitHub ✅ Solutions for business: -: Real Estate -: Bar & Restaurants -: Manufacturing -: Human Resources -: Healthcare -: Marketing -: Project management -: Sales -: Finance -: Media and Advertisement

I design and implement scalable systems across operations, data, and automation to eliminate manual work and improve reliability across business processes. Most growing teams face the same core issues: fragmented tools, inconsistent data, and workflows that break under scale. I solve this by building structured systems where processes, data, and automation are properly connected, standardized, and governed. ⚙️ Operations & Workflow Systems I design operational systems with clear logic, ownership, and execution layers using tools like Notion, ClickUp. This includes: Process standardization and SOP design Workflow architecture (states, triggers, dependencies) Task and project management systems Cross-team coordination frameworks Bottleneck identification and performance optimization The goal is to create predictable, scalable operations where teams execute efficiently without constant manual oversight. 🔄 Automation, API Layer & System Integration I build automation systems that connect tools and execute business logic end-to-end using platforms like n8n, Zapier, Make (Integromat), and custom API integrations. This includes: API integrations and API-layer implementations (centralized abstraction layer) Webhook-based and event-driven architectures Multi-system data synchronization Scheduled workflows, batching, and orchestration Error handling, retries, logging, and monitoring Idempotent workflows and safe update logic I’ve implemented API-layer architectures that unify systems like CRMs, databases, and front-end tools into a single, structured interface making systems easier to scale, maintain, and extend. 🧠 Data Engineering & Data Flow Design I design and manage data pipelines to ensure clean, structured, and reliable data using tools like SQL, BigQuery, Snowflake, Excel (advanced), Google Sheets, and Power BI. This includes: Data modeling and schema design ETL / ELT pipeline development Data cleaning, normalization, and enrichment Building reporting-ready datasets Data consistency across distributed systems Dashboarding and analytics (Power BI, Looker Studio) The focus is on making data usable, accurate, and decision-ready. 📊 CRM & Lifecycle Systems I build and optimize CRM systems using platforms like GoHighLevel (GHL), HubSpot, Salesforce, and Zoho CRM. This includes: Pipeline and lifecycle architecture Lead capture, routing, and qualification logic Automated follow-ups, sequences, and notifications Task and activity automation Data validation, deduplication, and hygiene CRM integration with automation and reporting systems The result is a fully automated customer lifecycle system from lead to conversion and retention. 🤖 AI in Automation Systems I integrate AI into workflows where it provides real operational value using tools like OpenAI APIs, GPT-based systems, and AI integrations enter automation platforms. Typical implementations: Data enrichment and structuring Classification, tagging, and filtering LLM-based extraction and formatting Intelligent decision-support inside workflows AI is implemented as part of systems not as a gimmick to reduce manual work and improve accuracy at scale. ⚙️ Approach Analyze current systems, workflows, and data flow Identify inefficiencies, edge cases, and failure points Design system architecture and automation logic Build, test, and deploy with reliability in mind Deliver documentation and ensure long-term maintainability I focus on building systems that are technically sound, operationally practical, and scalable. If you need someone who understands APIs, data pipelines, automation systems, CRMs, and operations and can bring them together into one reliable system, I can help.

If your business is struggling with unreliable reports, scattered data across multiple systems, or manual processes that slow down decision-making, you need a Data Engineer who can build a reliable foundation for your data not just another dashboard. I help businesses design scalable ETL Pipelines that collect, transform, and organize data into trusted insights, allowing teams to make faster, data-driven decisions while reducing manual work and operational costs. I'm a Data Engineer with 5+ years of experience helping businesses build reliable, automated data platforms that turn scattered information into trusted, decision-ready insights. One recent project reduced a month-long manual reporting process to just a few hours through Python automation, while another helped decrease client dissatisfaction by 45% by uncovering retention trends through data analysis and reporting. Recently, I built a scalable data platform for a $100M-valued KYC/KYB company, replacing a manual reporting process managed by a 15-person team. The solution reduced report generation time from one month to a single day, improved data quality and consistency, and helped the company save approximately $1 million annually through automation and operational efficiency. My approach starts with understanding your business goals before designing the right architecture. I build robust data ingestion pipelines using Azure Data Factory, Python, APIs, and automated workflows, then transform raw data into a centralized Data Warehouse that becomes your single source of truth. Whether your data comes from cloud applications, databases, spreadsheets, or third-party APIs, I create scalable solutions that are easy to maintain and built for long-term growth. I build end-to-end data engineering and analytics solutions across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). My technology stack includes Python, SQL, PySpark, Apache Spark, Databricks, Microsoft Fabric, Snowflake, BigQuery, Azure Data Factory, Apache Airflow, dbt, Delta Lake, ADLS Gen2, Power BI, and Looker Studio. From API and database ingestion to ETL/ELT pipelines, Medallion Architecture, cloud data warehouses, semantic models, workflow orchestration, and executive dashboards, I create reliable systems that automate reporting, improve data quality, and provide accurate visibility into business performance. When you work with me, you can expect clear communication, proactive problem-solving, clean documentation, and solutions built to scale with your business instead of becoming another maintenance burden. If you're looking for a Data Engineer to build a modern Cloud Data Platform that transforms fragmented data into accurate, automated, and actionable insights, let's connect and discuss how we can make your data work for your business.

Expert Vetted | Founder of MetricMaven My company is designed to help agencies track their client's complete customer journey - from first impression to closed deal and repeat purchases. I've built attribution and reporting systems for companies from Fortune 500 (HCA Healthcare, Mars Inc.) to high-growth DTC brands (+$500m Revenue). My specialty is in building full-funnel reporting for lead or eCommerce based campaigns. I help companies stitch performance of a campaign: - from impression to closed deals for lead based campaigns - from impression to conversion and returning purchases for eCommerce based campaigns. We use the same stack across all projects to keep things accurate, and allow for rapid changes over time to reports or data models: - Maven (Data Integration) - dbt (Data Modeling) - BigQuery (Data Storage) - Looker Studio (Data Visualization) Our team also has expertise in GTM so we can manage the entire tracking and analytics implementation from start to finish to give you a full view of your customer journey - from webpage visit to CRM or eCommerce platform. If you're an agency help to improve your attribution, move away from manually created reports, and improve client retention, please feel free to reach out!

As a 𝟔𝐱 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 𝟔+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, I specialize in architecting robust ETL/ELT pipelines across 𝐀𝐳𝐮𝐫𝐞, 𝐀𝐖𝐒, and 𝐆𝐂𝐏. Whether you need to untangle messy API data with custom code or process millions of rows using enterprise cloud tools, I build systems that don’t break in production. I bring deep expertise in both approaches to data engineering: ⚙️ 𝐂𝐮𝐬𝐭𝐨𝐦 𝐏𝐲𝐭𝐡𝐨𝐧 & 𝐀𝐏𝐈 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: I bridge the gap between complex SaaS platforms (NetSuite, Shopify, HubSpot, Toast POS) and modern Data Warehouses. When standard connectors fail, I build custom Python logic handling pagination, OAuth, and complex transformations, backed by automated error handling and real-time observability. ☁️ 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐂𝐥𝐨𝐮𝐝 𝐄𝐓𝐋 & 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚: I design, build, and maintain cloud-scale data architectures using 𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐅𝐚𝐜𝐭𝐨𝐫𝐲 (𝐀𝐃𝐅), 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 (𝐏𝐲𝐒𝐩𝐚𝐫𝐤), 𝐀𝐖𝐒 𝐆𝐥𝐮𝐞, 𝐚𝐧𝐝 𝐁𝐢𝐠𝐐𝐮𝐞𝐫𝐲. I expertly manage full-refresh and incremental loads (CDC/SCD Type 2) to support scalable, high-volume batch data processing. I specialize in stable data logic, ensuring you never have to guess if your numbers are accurate. 📊 Delivered ETL pipelines syncing millions of records daily 💡 Powered reporting and KPI dashboards tied to real business outcomes 🚀 Built the data backend for SaaS platforms serving 100K+ users 💎 Signature Projects (Case Studies) 🚀 𝐄-𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 & 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 (𝐏𝐢𝐧𝐤 𝐂𝐡𝐢𝐜𝐤𝐞𝐧) Challenge: High-volume inventory and financial data was heavily fragmented between Shopify and an ERP. Solution: Architected a secure Azure Data Factory (ADF) pipeline leveraging Shopify GraphQL and Azure Key Vault. Outcome: Achieved 100% data consistency via automated dual-syncs, secured inside a Managed Virtual Network. 🏦 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 (𝐀𝐩𝐞𝐱 𝐇𝐞𝐚𝐥𝐭𝐡 𝐂𝐚𝐫𝐞) Challenge: Critical financial data was locked inside NetSuite, requiring manual, error-prone extraction for reporting. Solution: Built a Python/SQLAlchemy pipeline extracting data via SuiteQL into PostgreSQL and AWS S3 (Athena). Outcome: Eliminated manual reporting by automating daily financial KPI dashboards in Tableau. 🏛️ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞 𝐅𝐥𝐞𝐞𝐭 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 (𝐍𝐘𝐂𝐓) Challenge: Safely syncing mission-critical transit data from legacy SQL databases to modern APIs without stressing production servers. Solution: Engineered a 10-step Python ETL workflow utilizing custom Change Data Capture (CDC) for incremental updates. Outcome: Prevented silent failures by implementing automated data governance and a real-time Flask observability dashboard. 🛠 Technical Arsenal 🔹 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 & 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠 Warehousing: Snowflake, Azure Synapse Analytics, Amazon Redshift, Google BigQuery. Processing & Big Data: Databricks (PySpark), AWS Glue, Spark SQL. Cloud Infrastructure: Microsoft Azure (ADF, Functions, Blob, Key Vault), AWS (Lambda, S3, Athena). Orchestration & DevOps: dbt, Docker, Kubernetes, PM2, Cron. 🔹 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬, 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 & 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 Languages: Python (Pandas, SQLAlchemy, PyODBC, Boto3 - Expert Level). SQL: T-SQL, PL/pgSQL, Snowflake SQL, SuiteQL (NetSuite). Databases: PostgreSQL, MySQL, Azure SQL, Amazon RDS. Modeling: Star Schema, Dimensional Modeling, SCD Type 2, Entity Resolution. 🔹 𝐍𝐢𝐜𝐡𝐞 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐀𝐏𝐈𝐬 ERPs: NetSuite (SuiteTalk/SuiteQL), ApparelMagic. Commerce: Shopify (REST/GraphQL), Toast POS, Stripe. CRM: HubSpot, Salesforce, WordPress (MySQL). 📜 Certifications ✅ AWS Certified Solutions Architect – Professional ✅ AWS Certified Data Engineer – Associate ✅ Azure Data Engineer Associate (DP-203) ✅ Azure Database Administrator (DP-300) ✅ Databricks Certified Data Engineer – Professional 🏆 Why Clients Hire Me: • 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲: I build self-healing ETL pipelines handling millions of records daily, backed by automated alerting so metrics never break silently. • 𝐂𝐨𝐦𝐩𝐥𝐞𝐱 𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: When drag-and-drop fails, I write custom Python (OAuth, pagination, CDC) for difficult systems like NetSuite, Shopify GraphQL, and legacy SQL. • 𝐅𝐚𝐬𝐭𝐞𝐫 𝐓𝐢𝐦𝐞 𝐭𝐨 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: I don't stop at the database. I deliver clean, analytics-ready data directly to Power BI/Tableau, or build full-stack internal tools (React/Node). • 𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐏𝐚𝐫𝐭𝐧𝐞𝐫 (𝟗𝟎%+ 𝐑𝐞𝐩𝐞𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬): I optimize cloud infrastructure to reduce costs, eliminate manual reporting, and provide long-term data platform ownership. Your data should drive business decisions, not create technical bottlenecks. Let’s connect to design a scalable, automated data architecture for your next phase of growth. [Invite Me to Job]

Most data pipelines don’t fail because of code. They fail because they weren't built for scale. With 8+ years of experience engineering data systems at companies like Microsoft and Coreweave, I help businesses move away from "brittle prototypes" to production-grade, scalable infrastructure. I don’t just move data; I build the "Source of Truth" that leadership and AI systems actually trust. 💬What I Solve for You: Productionizing AI Pipelines: Hardening Python prototypes into scalable RAG and LLM infrastructures (AWS/Azure). ➔Infrastructure-as-Code: Building automated, modular ETL/ELT pipelines that don't require daily manual fixes. ➔The "One-Source" Dashboard: Integrating messy data from APIs, SaaS (Shopify, HubSpot), and DBs into clean Snowflake/BigQuery layers. ➔Performance Recovery: Optimizing slow SQL queries and high-cost cloud warehouses to save you thousands in monthly spend. 🛠 Tech Stack: Languages: Python (FastAPI, Pandas, PySpark), SQL Cloud & Warehousing: AWS (Glue, Lambda, S3), Snowflake, BigQuery, Azure Orchestration: Airflow, dbt, GitHub Actions Data Ops: API Integrations, Vector DBs, Data Validation ✅ Why Me? 8+ Years Experience: I’ve seen what breaks at the enterprise level and how to prevent it in your startup. Speed over Perfection: I focus on shipping high-impact systems that drive revenue, not just technical documentation. Transparent Communication: You get regular updates and a partner who challenges requirements to find better solutions. Ready to clean up your data debt? 📩 Message me for a FREE 15-minute technical consultation. Let’s discuss your architecture and see if I’m the right fit for your system.

Hi, I’m Dr. Jody-Ann Jones – AWS-Certified ML Expert Specializing in Data Engineering, MLOps, and Scalable AI Solutions. With 5+ years of experience in Machine Learning, Data Engineering, and MLOps, combined with over a decade of expertise in quantitative and qualitative research, I specialize in designing and deploying scalable, production-grade AI and data systems that deliver measurable business impact. Whether you're aiming to predict future trends, automate workflows, or leverage generative AI for innovation, I provide end-to-end solutions that go beyond just building models—they're built to perform in production at scale. 🔑 Core Services I Offer: 🛠️ 1. Machine Learning Model Design & Deployment (MLOps) - End-to-end ML Pipelines: From data ingestion to model deployment. - CI/CD for ML Models: Streamlined workflows for continuous integration and delivery. - Real-Time Monitoring: Track model drift and optimize performance post-deployment. - Tools: AWS SageMaker, MLflow, Docker, Kubernetes, Terraform, and more (please ask for more info) 📊 2. Predictive Analytics & Business Forecasting - Forecast KPIs, sales trends, and customer behavior with robust predictive models. - Ensure models are interpretable and actionable with tools like LIME and SHAP. - Integrate analytics dashboards for real-time decision-making. 📡 3. Scalable Data Engineering Solutions - Design and implement robust ETL pipelines using dbt, Apache Airflow, and Spark. - Build scalable data lakes and warehouses on AWS (S3, Redshift), Azure Synapse, and Google Cloud. - Real-time data ingestion with Kafka and Spark Streaming. 🗣️ 4. Natural Language Processing (NLP) - Build AI systems for sentiment analysis, topic modeling, and entity recognition. - Deploy fine-tuned GPT models for chatbots, content generation, and knowledge management. - Work with large-scale unstructured text data for actionable insights. 🛡️ 5. AI for Cybersecurity & Fraud Detection - Develop systems to detect fraud, anomalies, and security threats in real-time. - Analyze network traffic logs and transactional datasets for vulnerabilities. - Scalable deployment for mission-critical security infrastructure. 🎨 6. Generative AI Solutions - Fine-tune and deploy custom GPT and Stable Diffusion models. - Build AI-powered tools for content creation, text summarization, and customer support automation. - Utilize AWS Bedrock, OpenAI APIs, and other cloud-native generative AI solutions. 🚀 Why Choose Me? ✅ AWS-Certified Machine Learning Specialist: Proven expertise in building and deploying cloud-native AI solutions. ✅ Full-Stack AI Professional: From data engineering pipelines to MLOps workflows and model monitoring. ✅ Business-Driven Results: Every project is aligned with clear KPIs and measurable ROI. ✅ Scalable Infrastructure: Solutions designed to grow with your business. ✅ Clear Communication: Complex technical concepts explained in plain business language. 🤝 Let’s Collaborate! Whether you’re looking to: 🚀 Scale your AI operations to production 📊 Leverage predictive analytics for data-driven decision-making 🧠 Harness Generative AI for innovation 🛡️ Strengthen cybersecurity with AI solutions I’m here to turn your data challenges into actionable, scalable solutions. 👉 Reach out today, and let’s discuss how I can add value to your business! 📌 Next Steps: Send me a message with your project details. Let’s schedule a call to align on goals and timelines. Looking forward to helping you unlock the power of your data! 🚀

I partner with enterprises, founders & startups to design and build scalable, production-ready MVPs, AI platforms, multi-tenant SaaS products, web/mobile/custom software, internal tools, AI-driven workflow automation, and data-intensive backend systems across a range of industries. I'm the founder of Afryvo Analytics, a 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 full-stack development team (100% Job Success Score) with 8 years of hands-on experience architecting, building, testing, and shipping production-grade software — including AI-native SaaS platforms. I work as an end-to-end technology partner across the full development lifecycle: product scoping and design, infrastructure planning, system and database architecture, API and AI integration, front-end and back-end build-out, QA, cloud deployment, launch, and post-launch support. We've shipped 200+ custom builds for founders, funded startups, and enterprise clients spanning nearly every continent, backed by a strong record of client satisfaction. Most engagements start one of a few ways: building an MVP from the ground up, scaling a product that's gaining traction, modernizing an aging system, stabilizing a shaky platform, tuning performance, or layering AI into an existing product without breaking what already works. From there, I translate business goals, ROI targets, user workflows, compliance needs, budget, and timeline into a concrete plan — scope, milestones, architecture, integrations, testing/UAT, and rollout. For founders and funded startups specifically, I help turn an early idea and business model into a tight MVP scope, a scalable architecture, and a launch roadmap — without overbuilding before you've validated demand. Architecture decisions are driven by product stage, scalability needs, compliance requirements, operational complexity, and budget — covering secure integrations, tenant isolation, data modeling, AI-ready data foundations, deployment, observability, and long-term maintainability. Industries I've worked across: health & fitness tech, construction, manufacturing & permitting, home services/solar, knowledge management & research tools, finance, retail, and consumer goods. If you need a development partner to build custom software, integrate AI, modernize a legacy system, or architect for long-term scale — let's talk. Our Development Team & Tech Stack: Frontend Dev: React, Next.js, TypeScript, JavaScript, Tailwind CSS, shadcn/ui. Mobile & Desktop Dev: React Native, Flutter, Swift, Kotlin, Electron Game Dev: Unity, C#, Unreal Engine 5, C++, Blueprints, Photon, PlayFab, Roblox Studio, Luau Backend Dev: Node.js, NestJS, Express.js, Python, FastAPI, Django, Java, Spring Boot, Golang APIs: REST, GraphQL, WebSockets, gRPC, OpenAPI, Swagger. Databases: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Supabase, Firebase Firestore, RDS, Elasticsearch, OpenSearch, Amazon S3. Data Engineering: SQL, Pandas, NumPy, Apache Kafka, RabbitMQ, Apache Airflow, dbt, Apache Spark, Snowflake, BigQuery, Amazon Redshift AI & ML: OpenAI, Claude, Gemini, Llama, Mistral, PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, Hugging Face Transformers, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy Vector Search: pgvector, Pinecone, Weaviate, Qdrant, FAISS, Chroma Computer Vision, NLP & AI Voice: OpenCV, YOLO, spaCy, Whisper, Deepgram, ElevenLabs Cloud / DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI/CD, Vercel, Cloudflare, Nginx Security / Auth: OAuth2, OpenID Connect, Auth0, Clerk, Okta, JWT, SAML, Vault, AWS Secrets Manager Testing / Monitoring: Jest, PyTest, JUnit, Playwright, Cypress, Postman, Datadog, Grafana, Prometheus, Sentry, OpenTelemetry, CloudWatch Compliance: HIPAA, SOC2, PCI-DSS, GDPR, ISO 27001, NIST, HL7/FHIR, KYC/AML, PII/PHI Software Development Services & Technical Capabilities: Full Stack Development, Software Development, AI Development Team, Front & back end dev, Artificial intelligence, Machine Learning, Deep Learning, Web Development, Web Application, Mobile App, AI native web development, API Integration, Full Stack developer, React & Python developer, AI developer, Web, Mobile & Software Dev, AI SaaS Dev, AI/ML, NLP, LLM, OpenCV, Algorithm, Chatbot, Developer, AI Integration, AI Automation, OpenAI, AWS, AI Agent Developer, Software Architecture & Design, AI Model Integration, Database Architecture, Solution Architecture.

It takes a lot to turn messy data into real time actionable insights. You need a professional who can guide you through the entire process and guarantee an accurate , robust model that is ready to scale. I handle the full project: requirements gathering, data modelling, ETL pipeline design, report development, stakeholder customisation, and handover documentation. Clients come to me to fix existing dashboards and data models, or to consolidate data spread across multiple systems into a single source of truth everyone can trust. My background covers 5+ years of analytics and data engineering work across multiple industries. I hold a B.S. in Information Science from CU Boulder, am finishing an M.S. in Data Science at CSU Global, and hold the DP-600 Microsoft Fabric Analytics Engineer certification. I am also a licensed commercial pilot, so you can expect proactive communication and sound judgment under pressure. All of my previous clients and employers will provide positive references upon request. Here is a sample of recent work: For a multi-property hotel group in Canada, I built a 6-page Power BI dashboard from scratch. The data model used a star schema with six fact tables connecting financial, maintenance, revenue, people, reputation, and operational data. Each page was designed around the specific needs of the department using it, based on direct input from those stakeholders. I owned the project end-to-end from the first requirements conversation through deployment and documentation. For an e-commerce company, I built a 7-page sales dashboard with the specific KPIs a major retail partner required before signing a vendor agreement. The same underlying data model was adapted for internal reporting at every level of the business, with access scoped by role. I maintained that dashboard and the ETL pipeline behind it for two years as requirements evolved. I also built a predictive model to replace a departing purchasing manager, handled a full CRM migration to HubSpot that a vendor had quoted at $5,000, but I completed it for $500, and conducted market basket analysis that informed website development. At a nonprofit, I built Power BI and Tableau dashboards to track program KPIs, grant performance, and conversion-funnel analytics. I led the ETL work for an applicant-tracking system and produced financial dashboards supporting grant proposals totalling over $1M. I integrated GA4 with Google Ads, built a funnel report that identified where users were abandoning the page before donating or reaching out, and collected and analysed data for a study on paralysed veterans presented to CU Anschutz. At a legal office, I deployed a Power Apps application to automate reception duties and build a structured data record that fed into a Power BI dashboard that stakeholders monitored on an ongoing basis. Earlier in my career, I worked at the National Centre for Atmospheric Research, where I aggregated and processed large-scale time-series climate datasets on the Cheyenne high-performance computing system. That work built the data engineering foundation I bring to every project now. Power BI is my primary platform and where I do my deepest work. It connects to virtually any data source, and I work with all of them: SQL databases, Snowflake, AWS (S3 and Athena), flat files, APIs, Excel, SharePoint, and GA4. If it has data, I can connect it, model it, and build reliable reporting on top of it. For Snowflake and Microsoft Fabric specifically, I work the full stack: star schema design, ETL loading via Apache Airflow and dbt, performance tuning, and resolving access and permission issues between systems. I work with a fixed scope and clear deliverables at each stage, so there are no surprises mid-project. Before I write a single measure or build a single visual, I make sure I understand what decisions the output needs to support. Stack: Power BI, DAX, M, Power Query, SQL, Python, R, Snowflake, Microsoft Fabric, AWS (S3, Athena), Apache Airflow, dbt, Power Apps, Looker Studio, GA4

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. 📩