Are you struggling with fragmented data, unreliable pipelines, inconsistent metrics, or manual processes that slow down decision-making? I help businesses turn raw data into scalable pipelines, trusted analytics, and intelligent systems by combining data engineering, analytics, and machine learning / AI solutions into production-ready workflows that drive real business impact. With 5+ years of experience across data engineering, analytics, and AI, I specialize in building solutions that collect, transform, analyze, and automate data, enabling faster, smarter decisions. WHAT I HELP YOU SOLVE - Data scattered across multiple sources with no single source of truth - Unreliable ETL pipelines or workflows that fail as data grows - Dashboards and reports that don’t reflect real business performance - Manual or repetitive processes that slow operations - Ideas for machine learning or AI that never reach production WHAT I CAN DO FOR YOU ✅ DATA ENGINEERING & ETL/ELT PIPELINES - Build and optimize ETL pipelines to ensure your data is clean, reliable, and always available. - Design cloud-based data lakes and warehouses (AWS / GCP) - Process large-scale data using Spark / PySpark - Orchestrate workflows with Airflow and event-driven automation ✅ ANALYTICS & DATA MODELING - Build analytics-ready data models (facts, dimensions, metrics) - Standardize KPIs and business logic across teams - Create dashboards and reporting layers that stakeholders trust - Perform exploratory data analysis, trend detection, and insights generation ✅ MACHINE LEARNING & AI SOLUTIONS - Build and deploy machine learning models for predictions, scoring, or classification - Develop AI agents for automation, workflow optimization, or decision support - Implement NLP pipelines for text processing, summarization, and extraction - Feature engineering, model evaluation, and productionization - Integrate ML/AI models into pipelines, dashboards, and applications ✅ MICROSERVICES, APIs & AUTOMATION - Develop REST APIs and standalone microservices using FastAPI - Integrate data, analytics, and ML pipelines into business applications - Automate repetitive workflows and reporting tasks TOOLS & TECHNOLOGIES - Python, SQL, DBT, Spark / PySpark - AWS & GCP (S3, Lambda, Glue, Redshift, BigQuery, Dataflow) - Airflow, Docker, Kubernetes, Terraform, CI/CD - Power BI, Tableau, and other BI tools - AI / ML frameworks: scikit-learn, XGBoost, TensorFlow, LangChain, Hugging Face Transformers, OpenAI APIs, other LLM & NLP tools - Web / API scraping (Selenium, BeautifulSoup) PROVEN BUSINESS IMPACT - Reduced ETL pipeline CPU usage from ~85% to ~25%, improving scalability and reliability - Led Salesforce CRM data migration to accelerate onboarding - Built automated customer health scoring system critical to retention strategy - Delivered dashboards and analytics layers that became daily tools for leadership - Implemented ML models and AI agents to automate decision-making and optimize workflows WHY WORK WITH ME ** Strong blend of data engineering, analytics, and AI skills ** Production-first mindset — I deliver solutions that work reliably in real-world systems ** Focused on business impact, not just technical delivery ** Clear communication, realistic timelines, and dependable delivery ** Comfortable owning projects end-to-end, from data ingestion to analytics and AI-driven outcomes If you’re looking for a partner who can turn messy data into reliable pipelines, actionable insights, and intelligent systems, I’m ready to help.

AI Solutions Architect & Sr Data Engineer | 10+ yrs building production data platforms. Production GenAI on Claude, Bedrock, RAG, LangChain — Stock Analyst Bot running live in prod. Deep Snowflake/dbt/Airflow expertise shipped across fintech, FMCG, D2C, gaming, and real estate. What I deliver: → Production GenAI: Claude/Bedrock RAG pipelines, LangChain agents, vector-search systems → Snowflake implementation, migration & optimization → End-to-end ETL/ELT pipelines (Airflow, dbt, PySpark) → Cloud data platforms on AWS (S3, Glue, Athena, Lambda) and Azure (ADF, Blob Storage) → Data warehouse design & data modeling → Data quality frameworks & governance Recent results: • Production AI Stock Analyst Bot — real-time market data + LLM-driven analysis, deployed and running live • Built a multi-tenant Snowflake platform centralizing data from 6+ acquired companies — created a custom Data Quality Management Framework that became the company standard • Led a 6-month D2C data project integrating 8+ sources (Google Ads, Meta, Shopify, Myntra) into Snowflake domain warehouses — managed a team of 5 engineers • Designed a cloud-agnostic analytics platform processing millions of player records using AWS S3, Airflow, Athena & Snowflake — achieved 50% faster processing and 20% cost reduction I'm responsive (typically within 2-4 hours), available for 30+ hrs/week, and comfortable working in AEST/NZST/JST-friendly schedules. Currently renewing SnowPro Core and pursuing Anthropic Claude Certified Architect.

I’ve consistently delivered results in high-stakes, fast-paced environments, whether as a lead consultant, a solo contractor, or part of a broader transformation team. I’m not just technically capable but reliable, communicative, and invested in your success from kickoff to handover. As a versatile data professional with deep experience across analytics, data engineering, BI, and cloud transformation, I’ve led end-to-end initiatives, from SQL development and data modeling to full-scale migrations and modern data architecture strategies. Technologically agnostic, but skilled in tools like MS Fabric, Snowflake, DBT, Power BI, and Azure in general, I bring both technical precision and business insight to every project. I am also familiar with GCP, AWS and am skilled enough to solution in other (not mentioned) platforms as well Certifications: Microsoft Certified Data Analyst Microsoft Certified Data Engineer Microsoft Certified Azure Data Fundamentals Primary Skills: data engineering, data analytics, business Intelligence, data strategy, reporting/data visualization, database development

Your data isn't the problem what's broken is the pipeline between raw inputs and decisions that actually get made. I build the infrastructure that fixes that. I'm a data engineer based in London specialising in end-to-end pipeline development, cloud data architecture, and analytics-ready data delivery. My work sits at the intersection of solid engineering and practical business outcomes: clean ingestion, validated transforms, and self-serve dashboards that non-technical stakeholders can actually use without raising a support ticket. At ProudToBeMe, I designed and deployed production pipelines in Python and SQL across 3+ source systems, built automated data quality frameworks that cut quality incidents by 40%, and developed Power BI dashboards tied to £100k+ in programme activity all built for reliability, not just demo day. At HighRadius Technologies, I improved ETL processing time by 25% across a 12-month client engagement and designed a Databricks Lakehouse architecture with ACID compliance across financial records work that earned me a Stakeholder Impact Award. On the certification side: Databricks Certified Associate Data Engineer and Microsoft Fabric Data Engineer Associate (DP-700). Tech stack: Python · SQL · PySpark · Databricks · Azure · AWS · dbt · Airflow · Delta Lake · Snowflake · BigQuery · Power BI · Tableau · CI/CD · Git. I work best with clients who have real operational data problems inconsistent ingestion, fragile pipelines, dashboards that nobody trusts — and need an engineer who can go from requirement to production without hand-holding. I write documentation, build for maintainability, and communicate clearly with non-technical stakeholders throughout. If you're looking for reliable, production-grade data engineering not just a script that runs once let's talk. Send me a message and I'll respond within 24 hours.

I help companies build scalable data platforms, modern lakehouse architectures, and AI-powered analytics systems using Azure, Microsoft Fabric, Databricks, Snowflake, BigQuery, AWS, and Power BI. I am a Certified Data Engineer with 5+ years of experience designing and implementing enterprise data pipelines, cloud data warehouses, real-time analytics platforms, and interactive business intelligence dashboards that enable organizations to make faster, data-driven decisions. I specialize in building high-performance ETL/ELT pipelines, modern data lakehouse architectures, and advanced analytics solutions that process millions of records daily while ensuring reliability, scalability, and cost efficiency. I also help organizations modernize legacy data infrastructure, migrate on-premise systems to cloud platforms, and implement automated data workflows that support business intelligence, machine learning, and AI-driven decision systems. Recent Impact • Built scalable ETL pipelines processing millions of records daily using Azure Data Factory and Databricks • Designed enterprise data warehouses and lakehouse architectures using Medallion Architecture and Delta Lake • Implemented real-time data streaming pipelines using Kafka and Spark Structured Streaming • Developed Power BI dashboards and semantic models for large-scale analytics and executive reporting What I Can Help You With ✔ Data Engineering & ETL/ELT Pipelines Design and development of scalable data pipelines using Azure Data Factory, Microsoft Fabric Dataflows, Databricks, Apache Spark, PySpark, dbt, and Airflow. ✔ Modern Data Warehouse & Lakehouse Architecture Building enterprise data platforms using Medallion Architecture, Delta Lake, Star Schema, and Dimensional Modeling. ✔ Microsoft Fabric & Azure Data Platform Development of Lakehouse solutions using Microsoft Fabric, OneLake, Synapse, Azure Data Factory, Azure Data Lake, and Azure Databricks. ✔ Real-Time Data Streaming Implementation of streaming pipelines using Kafka, Event Hub, and Spark Structured Streaming. ✔ Power BI & Advanced Analytics Creating Power BI semantic models, Direct Lake models, optimized DAX measures, and high-performance dashboards for large-scale datasets. ✔ Cloud Data Platform Migrations Migration of on-premise databases and legacy data warehouses to Azure, Microsoft Fabric, Snowflake, Databricks, and BigQuery. ✔ AI & Automation Solutions Building AI agents, Generative AI pipelines, NLP workflows, and AI-powered automation systems integrated with enterprise data platforms. Core Technologies & Tools Cloud Platforms Azure • Microsoft Fabric • AWS • Google Cloud Data Engineering Azure Data Factory • Databricks • Apache Spark • PySpark • dbt • Airflow • Kafka • Event Hub Data Warehousing & Lakehouse Snowflake • BigQuery • Delta Lake • Medallion Architecture • Star Schema • Data Modeling Analytics & BI Power BI • DAX • Power Query • Semantic Models • Direct Lake Programming & Development Python • SQL • PySpark • Scala • REST APIs • Webhooks AI & Automation Generative AI • AI Agents • Prompt Engineering • NLP Pipelines • MLOps Industry Experience I have delivered enterprise analytics and data platforms for: • Healthcare Analytics • Finance & Banking Data Systems • SaaS Product Analytics • Manufacturing Intelligence • Enterprise Reporting Platforms My Approach I focus on business-first data architecture, scalable cloud-native data platforms, cost optimization, and secure AI integration with production-grade reliability. My goal is to build data systems that are scalable, reliable, and easy to maintain while enabling organizations to extract real value from their data. ✅ If you're looking for a Senior Data Engineer who can design, build, optimize, and automate your entire data ecosystem using Azure, Microsoft Fabric, Databricks, Snowflake, and Power BI, let's connect.

Businesses lose time and money when their data is scattered, unstructured, or impossible to trust. I build the pipelines and platforms that fix that — turning raw, messy data into clean, reliable systems your team can actually use to make decisions. I specialize in end-to-end data engineering: designing and building Medallion Lakehouse architectures on Microsoft Fabric and Databricks, writing production-grade PySpark and SQL pipelines, and delivering analytics-ready data through Power BI dashboards that give stakeholders clear answers — not more confusion. My technical stack includes Python, PySpark, SQL, Delta Lake, Microsoft Fabric, Databricks, Azure Data Factory, and Power BI. I work with Bronze-Silver-Gold layered pipelines, dimensional modelling, and enterprise data platform patterns — the same approaches used at scale by engineering teams inside large organizations. What makes my work different: I don't deliver tutorials or one-off scripts. I build production-standard solutions — well-documented, scalable, and built to last beyond the contract. Clients get clean code, clear handoffs, and data infrastructure they can grow on. I work with businesses of all sizes that need a reliable data professional — not a generalist dabbling in analytics, but someone who treats data engineering as a craft. If your business is sitting on data it can't use, I can help you build the infrastructure to change that. Let's talk about what you're trying to build.

Analytics engineer with 3+ years of experience leading data-driven solutions from data architecture, dashboards, and statistical analysis with professional experience working in a Fortune 500 company 🖊️ I have worked with clients ranging coming from ➡️ 1. E-Commerce 2. NGO 3. Research 4. Fast-growing Startups 🤝 My service when you hire me ➡️ ✔️ Optimize your Data Warehousing / Orchestration in AWS / GCP ✔️ Robust and efficient data warehouse modeling in DBT ✔️ Develop Data visualization/dashboards ✔️ Drive Actionable Insights for your businesses through data ✔️ Data integration with third-party data integration apps ✔️ Tools: Python, R, SQL, DBT, Airbyte Let's connect and I will help you solve your problems!

I'm an experienced data analytics engineer with expert SQL and data visualization skills. From data ingestion, cleansing, transforming, and modeling, to data visualization, analysis, and reporting, I have the experience and expertise as a data engineer and a data analyst to help clients with their data needs. I am passionate about helping individuals or businesses save time and money by automating their data processes, using industry best practices for data modeling and visualization. We may be a great fit if you are thinking: ⚡There has to be a better way to visualize this data. ⚡How can I connect these tables to get actionable insights? ⚡Is there a way to get updated reports in real time, after updating a spreadsheet? ⚡Can I get the same quality dashboards as big companies without paying big costs? Working with me you will get help with: ✨ETL Consulting ✨Extracting and loading data into a data warehouse or visualization tool ✨Data transformation and modeling with expert SQL or Python ✨Creating interactive dashboards in Power BI for data analysis and reporting ✨Rewriting code to optimize query performance ✨Complete data process management, from ingestion to presentation ✨Data automation process creation ✨Clear communication with customer feedback loop If this is of interest to you, please reach out and let me know how I can help! Thank you for your consideration, Cale Nockels Data Analytics Engineer

📅 Feel free to hit "𝐈𝐍𝐕𝐈𝐓𝐄" Button. Available to Start Immediately. 🟢 Available Now 👨‍💼 Individual Full-Time Freelancer Are you looking to automate workflows, unlock data insights, or build intelligent AI-powered systems that drive real business results? I specialize in end-to-end AI, Machine Learning, Generative AI, and Business Intelligence solutions — from building production-ready LLM applications and RAG chatbots to designing Power BI dashboards and scalable data pipelines on Microsoft Fabric and Databricks. With hands-on experience across Python, PySpark, SQL, LangChain, OpenAI APIs, Tableau, and Cloud Analytics, I help startups and enterprises turn raw data into competitive advantages 🔹 Core Services ✔ Artificial Intelligence & Machine Learning ✔ Machine Learning Model Development ✔ Predictive Analytics & Forecasting ✔ Classification & Regression Models ✔ Deep Learning Solutions ✔ NLP (Natural Language Processing) ✔ Computer Vision Applications ✔ Recommendation Systems 🧠 Generative AI & LLM Solutions ✔ OpenAI GPT Applications ✔ AI Agents Development ✔ LangChain & LangGraph Solutions ✔ RAG (Retrieval-Augmented Generation) Chatbots ✔ Custom AI Assistants ✔ Document Intelligence Systems ✔ Knowledge Base Chatbots ✔ Multi-Agent AI Systems 📊 Data Analytics & Business Intelligence ✔ Power BI Dashboard Development ✔ Interactive Executive Dashboards ✔ KPI Tracking & Performance Monitoring ✔ Business Intelligence Reporting ✔ Data Visualization & Storytelling ✔ Self-Service Analytics Solutions ✔ Tableau Dashboard Development ✔ Advanced Excel Analytics ☁️ Data Engineering & Big Data ✔ Microsoft Fabric Solutions ✔ Databricks Development ✔ PySpark Data Processing ✔ ETL/ELT Pipeline Development ✔ Data Warehousing ✔ Data Modeling ✔ Data Integration & Migration ✔ Cloud Data Analytics 🐍 Python Development & Automation ✔ Data Cleaning & Transformation ✔ Workflow Automation ✔ Web Scraping & Data Collection ✔ API Integration ✔ Automated Reporting Systems ✔ Google Apps Script Automation ✔ Process Optimization 📈 What You Get ✅ AI-powered solutions tailored to your business ✅ Interactive dashboards with real-time insights ✅ Automated workflows that reduce manual effort ✅ Scalable data pipelines and analytics infrastructure ✅ Predictive models for smarter decision-making ✅ Clear communication and timely delivery ✅ Production-ready solutions with documentation 💡 Why Work With Me? ★ AI/ML Engineer with practical industry experience ★ Strong expertise in Power BI, Microsoft Fabric, Databricks & PySpark ★ Experienced in OpenAI, LangChain, RAG & AI Agent Development ★ Skilled in Data Analytics, Business Intelligence & Data Engineering ★ Focused on delivering business value, not just technical solutions ★ Dedicated to long-term client success and ROI Whether you need an AI Chatbot, Machine Learning Model, Power BI Dashboard, Microsoft Fabric Solution, Databricks Pipeline, Business Intelligence System, Data Analytics Project, or End-to-End AI Automation, I can help you turn data into competitive advantage. Let's discuss how AI, analytics, and business intelligence can accelerate your business growth. Keywords: AI Engineer, Machine Learning Engineer, Generative AI Developer, LLM Developer, LLM Engineer, OpenAI Developer, GPT-4 Developer, ChatGPT Integration, LangChain Developer, LangGraph Developer, AI Agent Developer, Agentic AI, RAG Developer, RAG Chatbot, Retrieval Augmented Generation, Vector Database, Pinecone, ChromaDB, FAISS, Weaviate, Hugging Face, Prompt Engineer, Fine-Tuning LLM, AI Chatbot Developer, Conversational AI, Document Intelligence, Knowledge Base Bot, Multi-Agent System, Data Analyst, Business Intelligence Developer, Power BI Developer, Power BI Expert, DAX Expert, Power Query, Tableau Developer, Tableau Expert, Looker Studio, Google Data Studio, Microsoft Fabric Developer, Databricks Engineer, Apache Spark, PySpark Developer, Data Engineer, ETL Developer, ELT Pipeline, dbt Developer, Data Warehouse Architect, Azure Data Factory, Azure Synapse, Azure ML, AWS Data Engineer, SageMaker, Google Cloud Analytics, BigQuery, Snowflake, Data Modeling, Star Schema, Python Developer, FastAPI Developer, Flask Developer, Streamlit Developer, Automation Engineer, Web Scraping, Selenium, REST API Integration, Workflow Automation, Zapier Expert, Google Apps Script, Predictive Analytics, Forecasting Model, NLP Engineer, Natural Language Processing, Text Analytics, Sentiment Analysis, Computer Vision, Object Detection, Deep Learning Engineer, TensorFlow, PyTorch, Scikit-learn, Time Series Analysis, Anomaly Detection, Recommendation System, Data Science, Data Visualization, KPI Dashboard, Executive Dashboard, Reporting Automation, Self-Service Analytics, Business Intelligence Analyst, Cloud Analytics, Enterprise Analytics, MLOps, Model Deployment, Data Cleaning, Data Transformation, Data Migration, Data Integration, Data Governance, Big Data, AI Automation, Process Optimization, Decision Intelligence

I build data pipelines and AI automation systems for businesses and development teams—from analytics infrastructure to AI-powered research automation and real-time video analysis. WHAT I DO Data Infrastructure - Dagster/dbt pipelines for ETL workflows - Real-time data processing and integration - Web scraping and data collection at scale - PostgreSQL, BigQuery, and cloud databases AI & Automation - FastAPI backends for AI features - Video/speech analysis using computer vision - Text extraction and research automation - LLM integration for business workflows TECH STACK Python, SQL, Dagster, dbt, FastAPI, PostgreSQL, BigQuery, OpenAI API, Pandas, Streamlit Available for: - Data pipeline development - AI feature integration and AI Automation - Real-time processing systems - Crypto/blockchain data work - Marketing API integration (Google Ads, Meta/Facebook Ads) Send me your project details and I'll respond with an approach within 24 hours.