I lead a boutique engineering team at GableGrid specializing in workflow automation (n8n Certified & Power Automate) and enterprise data analytics. We stabilize failing API integrations, build self-healing data pipelines, and deploy secure AI workflows that eliminate manual overhead. Whether you need a rapid infrastructure audit or an end-to-end automation engine, we deliver production-grade corporate rigor. Whether you need to extract and structure legacy system data for AI readiness or build autonomous multi-agent systems that execute complex operations, my team provides the architecture and execution to deliver enterprise-grade results. ───────────────────────────────────── CORE CAPABILITIES & SERVICE CATALOG ───────────────────────────────────── 1. DATA READINESS & WAREHOUSING FOR LLMs We transform unstructured corporate memory and legacy data silos into clean, context-aware vector spaces to eliminate AI hallucinations. Infrastructure: Snowflake, Databricks, BigQuery, PostgreSQL (pgvector) Pipelines: Complex ETL/ELT architecture, custom API/ABAP extraction logic for SAP data replication, and dbt data modeling Vector Operations: Ingestion pipelines, precise chunking strategies, and secure vector database indexing (ChromaDB, Pinecone, LangChain) 2. AGENTIC AI & INTELLIGENT AUTOMATION We don't build generic chatbots — we build autonomous digital workers that loop, reason, and execute complex business operations. Agent Frameworks: Multi-agent coordination via LangGraph, CrewAI, and OpenAI/Claude APIs Orchestration: Advanced tool-calling architectures where AI securely interfaces with your backend business platforms LLMOps: System prompt engineering, cost/latency tracking, and retrieval-augmented generation (RAG) pipelines 3. ENTERPRISE INTEGRATION & BUSINESS INTELLIGENCE We build data bridges that ensure your automation ecosystems stay connected to your core business software. Workflow Integration: Mid-market and enterprise automation via n8n (Level 1 Certified), Microsoft Power Automate, Make .com, and custom Python scripts ERP/CRM Sync: Native integrations connecting Odoo, SAP ERP, and Salesforce to modern analytical databases Analytics Engines: Dynamic dashboards in Power BI, Tableau, and Google Looker Studio ───────────────────────────────────── ENGAGEMENT MODEL: HOW WE WORK WITH YOU ───────────────────────────────────── Phase 1 — Architecture Audit & Discovery: We map your systems, review your APIs, and deliver a comprehensive technical blueprint. Phase 2 — Foundation Sprint: We stand up your data pipelines, clean your data layers, and secure your database infrastructure. Phase 3 — Agentic Deployment: We program, test, and deploy the autonomous AI orchestration layers. Let's unlock the value trapped inside your company's data. Click "Invite to Job" above and let's hop on a call to discuss your architecture.

Data Engineer building the full-stack intelligence layer for modern businesses. I architect, implement, and maintain the complete data-to-insights value chain. I deliver three interconnected pillars: Reliable Data Infrastructure: Scalable pipelines, cloud data warehouses, and ELT processes. Actionable Business Intelligence: Dashboards, reports, and self-service analytics that inform strategy. Intelligent Automation: Production AI/ML models, RAG systems, and LLM integrations that predict outcomes and automate complex tasks. With deep expertise across the modern data stack (AWS/Azure/GCP, Snowflake, Databricks, Kafka, Airflow, dbt, Power BI/Tableau, Python ML stack, RAG/LLMs), I ensure your data assets are operational, insightful, and intelligent.

I'm Ben Feifke, and I help my clients turn their data into their competitive edge. For the past year, I've been helping small to medium sized businesses discover and leverage the immense value locked in their data as a Top Rated, 5-Star Freelancer on Upwork. I have 10+ years experience as a data scientist and machine learning engineer for top companies, including a publicly listed company and as the founding engineer at a Y-Combinator backed startup. I've worked across a number of domains, including but not limited to: geospatial data and GIS applications, logistics and transportation, healthcare and medical technology, price optimization, social media data, sentiment analysis, building energy performance and modeling, and more. Beyond technical excellence in delivering value from data, I'm a clear communicator to audiences of all technical levels. I look forward to getting to know you and your business. Services I Offer: - ML/AI Product Development: helping you turn your ML idea and data into a clearly codified vision with an executable roadmap and timeline. - ML and Data Software Engineering: improving, optimizing, and extending the functionality of your already existing software, ML, or data solutions; I can start a project from scratch or get up and running on your ongoing project in 24 hours. - Cloud Development: Deploying, monitoring, or improving your software or data solutions in the cloud. - Business Automation: Optimizing and automating your business processes, enabling you to focus on what really matters. Why Hire Me: - Bringing success to your project is my #1 priority - I respond within 3 hours to any technical issue or question that arises during work hours, 6 days a week. Qualifications: - 5+ years working experience as a Senior Data Scientist, Machine Learning Engineer, Data Engineer, and Manager. - MS Data Science from University of Rochester - BS Optics from University of Rochester - Published Data Science blog with 15k+ reads Skills I Possess: - Programming Languages: Python (Numpy, Scipy, Scikit-Learn, Pandas, Polars, Keras, Tensorflow), SQL - Machine Learning Techniques: Regression, Statistics, Gradient Boosting, Maximum Likelihood Estimation, Probabilistic Graphical Models, Deep Learning, Hyperparameter Tuning. - Data Processing and Transformation: Apache Spark, Python Polars, AWS Glue - Dashboards: Looker, Tableau - Cloud: Amazon Web Services (AWS), Google Cloud Project (GCP) - Data Warehouse, Data Lake, Databases: GCP BigQuery, AWS Athena, PostgreSQL, MySQL, SQLite - Data Pipelines, Infrastructure, and Orchestration: Apache Airflow, Mage, dbt - Deployment and DevOps: CI/CD, Docker, Streamlit

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]

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! 🚀

📊 Backend & Data Engineer | Expert in AWS, Python & Big Data Systems | 100% Client Satisfaction 👋 Do you need to build a backend infrastructure that doesn't just "run," but effectively processes, stores, and visualizes massive amounts of data? I help data-driven companies build robust architectures using AWS, Python, and Java, turning raw data into profitable business insights. With experience across Software Engineering and Data Pipeline Architecture, I bridge the gap between application development and data warehousing. I don't just write scripts; I build scalable engines. I work across: • Custom ETL/ELT Pipelines (Batch & Real-time streaming) • Serverless Backend Architecture (AWS Lambda, API Gateway) • Data Warehousing & Data Lakes (Redshift, BigQuery, S3) • Automating workflows with Apache Airflow & Robocorp • Visualizing business intelligence via Power BI & Looker Studio Whether you need to migrate legacy data to the Cloud, build a real-time analytics dashboard, or architect a Java/Python backend, I ensure your system is fast, cost-effective, and scalable. ✅ What I bring to your project: • Hybrid Expertise: Strong Software Engineering (Java/Python) skills applied to Big Data problems. • Cloud Mastery: Deep knowledge of the AWS Ecosystem (Glue, EMR, Athena, Kinesis). • Data Quality: Implementing dbt and rigorous testing to ensure your data is accurate. • End-to-End Delivery: From infrastructure infrastructure-as-code to the final BI Dashboard. • Communication: I translate complex engineering concepts into clear business updates. 🔥 Recent Projects I've Delivered: FinTech Data Lake: Built a secure Data Lake on AWS S3 + Redshift, processing 1TB+ daily transaction data using AWS Glue & Spark. E-Commerce Real-Time Analytics: Designed a streaming pipeline using Apache Kafka & AWS Kinesis to track user behavior in real-time, visualized in Power BI. SaaS Backend Migration: Refactored a legacy monolith into microservices using Java & AWS Lambda, reducing server costs by 40%. Marketing Automation System: Developed Python scripts utilizing Robocorp to scrape competitor pricing and auto-update internal SQL databases. Healthcare Reporting Portal: Created a compliant data warehouse in BigQuery with a Looker Studio frontend for doctors to view patient trends. 🧠 Tech Stack & Skills Languages & Backend: Python (Pandas, NumPy, Boto3), Java (Spring Boot), SQL (Advanced), Shell Scripting. Cloud & Infrastructure (AWS & Google): AWS Glue, Lambda, Kinesis, EMR, Athena, Redshift, EC2, S3, IAM, Google DataProc, BigQuery. Big Data & Orchestration: Apache Spark, Apache Kafka, Apache Airflow, dbt (Data Build Tool). Databases & Storage: PostgreSQL, MySQL, Amazon Redshift, Google BigQuery, DynamoDB. Visualization & BI: Power BI (DAX), Looker Studio, Tableau, Excel (Advanced). DevOps & Tools: Git, Docker, Jenkins, CI/CD Pipelines 🧩 Typical Use Cases I Help With: • ETL Automation: Replacing manual Excel reporting with automated Python/Airflow pipelines. • Cloud Migration: Moving on-premise SQL databases to AWS Redshift or Google BigQuery. • Backend API Development: Building APIs that serve data to frontend applications. • Data Cleaning: Using dbt and Spark to clean messy datasets for Machine Learning models. • Dashboard Creation: Building "Single Source of Truth" dashboards for CEOs and Product Managers. 🏭 Industries I've Served: FinTech · eCommerce · Logistics/Supply Chain · SaaS · Healthcare · Marketing Analytics 💬 Client Feedback ⭐⭐⭐⭐⭐ "John is a rare find—he understands the code AND the data. He automated our entire reporting process on AWS." ⭐⭐⭐⭐⭐ "Excellent communication. He built a dashboard that finally makes sense of our messy database. Highly recommended." ⭐⭐⭐⭐⭐ "Technical expert. Handled our migration from on-prem to Redshift without any data loss." 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬: Data Engineering, Python Developer, AWS Architecture, ETL/ELT Design, Big Data Analytics, Database Administration, Business Intelligence (BI), API Development, Data Modeling, Data Warehousing, Machine Learning Integration, Real-time Data Streaming, Serverless Computing, Agile Methodologies. 🚀 Let’s Talk If you need a technical partner who can handle both the code and the data—let's connect. I will help you turn your data into your company's most valuable asset. Click ‘Invite to Job’ to start a conversation about your architecture.

𝐈 𝐚𝐦 𝐚 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐢𝐧 𝐀𝐖𝐒, 𝐀𝐳𝐮𝐫𝐞, 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐏𝐲𝐭𝐡𝐨𝐧 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧. 𝐈 𝐝𝐞𝐬𝐢𝐠𝐧 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐬𝐞𝐜𝐮𝐫𝐞, 𝐚𝐧𝐝 𝐡𝐢𝐠𝐡 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐝𝐚𝐭𝐚 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐩𝐨𝐰𝐞𝐫 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐁𝐈 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐀𝐈 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐚𝐧𝐝 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬. 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼 I help companies build production ready data ecosystems using: Data Engineering & Pipeline Development - ETL / ELT architecture and development - Batch and streaming pipelines - Databricks, Apache Spark, Python - Airflow, Azure Data Factory Cloud & Platform Architecture - AWS, Microsoft Azure, Microsoft Fabric - Serverless and managed services: Lambda, Glue, EMR, ECS, Azure Functions, Synapse Big Data & Distributed Processing - Apache Spark (batch and streaming) - Databricks - Kafka, Hadoop Data Storage & Database Engineering - Data lake and data warehouse design - Data Modeling - PostgreSQL, MySQL, SQL Server - Snowflake, Teradata DevOps, Automation & Deployment - Docker based deployments - CI/CD pipelines - DevOps and infrastructure automation AI & Analytics Ready Data Pipelines - RAG development and chatbot data pipelines - Model preprocessing and feature engineering - Data preparation for AI, ML, and analytics workloads 𝗪𝗵𝘆 𝗮𝗺 𝗜 𝗮 𝗦𝘁𝗿𝗼𝗻𝗴 𝗙𝗶𝘁! • 9+ years of hands-on experience building, scaling, and maintaining large-scale data platforms • Deep expertise in designing and operating ETL/ELT pipelines and real-time streaming systems • Strong Python engineering for data processing, automation, and backend data services • Proven experience building reliable, cost-efficient cloud-based data architectures • Regularly support analytics, BI, and AI/ML teams with production-ready data pipelines • Known for clean documentation, clear communication, and consistent delivery in complex data environments 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗪𝗼𝗿𝗸𝗲𝗱 𝗪𝗶𝘁𝗵 Finance, SaaS, Retail, Healthcare, Logistics, Enterprise Software & Analytics If you are looking for a high level Data Engineer & Cloud Architect who can design, build, optimize, and scale your entire data platform then let’s discuss your project in detail. I am ready to start immediately.

Numbers lie until you ask the right questions. Most analytics problems aren't data problems. They're architecture problems - the wrong things are being measured, the systems don't talk to each other, and leadership is making budget decisions on numbers nobody fully trusts. I fix that. I build revenue intelligence systems that connect marketing, CRM, and finance into a single source of truth. The kind of infrastructure where a CMO can see true CAC by cohort, a CFO can reconcile Stripe against HubSpot without a spreadsheet war, and an ops team can stop spending 10 hours a week pulling manual reports. Recent work includes: * Unified Populi, HubSpot, and Stripe into a single lifecycle model for a B2B education company, tracking every stage from lead to payment across 14+ cohorts * Identified fee pricing impact on applicant quality vs volume through funnel and cohort analysis, giving leadership a clear framework for a revenue-critical decision * Rebuilt attribution and acquisition tracking for an e-commerce business, exposing search term waste and reallocating spend toward higher-margin segments * Reduced manual reporting time by over 90% through automated pipelines and standardized KPI definitions across teams What I work on: Revenue architecture - CAC, LTV, cohort modeling, marketing-to-finance reconciliation Data infrastructure - BigQuery, SQL, dbt-style transformations, star schema modeling CRM & payments - HubSpot, Populi, GoHighLevel, Stripe, QuickBooks Visualization - Looker Studio, Power BI, executive KPI dashboards Automation - Python, Google Apps Script, API integrations, Google Cloud I work with SaaS, education, and e-commerce companies that have outgrown their current reporting setup and need something they can actually rely on. If you're looking for someone to build a dashboard, I'm probably not the right fit. If you need the system behind the dashboard to actually work - let's talk.

With over 20 years of hands-on experience and a Master’s degree in Information Systems, I provide data strategy and technical leadership blended with full-stack execution. I specialize in AI-native data engineering practices that accelerate delivery, informed by strong architectural discipline and senior engineering judgment to ensure durable, production-grade outcomes. My work spans full-stack data execution across: * Cloud Warehouses: Snowflake, BigQuery, Redshift * Pipelines and Transformation: dbt, Airflow, Hevo, Airbyte, Glue, Fivetran, etc * Metrics and Analytics: LTV, churn, retention, ARR/MRR, cohort analysis * AI-Native Development: Cursor, Claude Code, modern LLMs, MCP-based workflows, structured AI-assisted coding

With an MS in Data Science and 7+ years of industry experience, I architect end-to-end data solutions that bridge the gap between theoretical innovation and practical business impact. Core Competencies 🎯 Data Science Leadership 📊 Orchestrate sophisticated data pipelines from extraction to deployment, leveraging advanced statistical methods and machine learning algorithms Drive business decisions through predictive modeling and deep learning implementations using PyTorch, TensorFlow, and scikit-learn Pioneer automated A/B testing frameworks that accelerate decision-making cycles Analytics & Visualization 📈 Craft compelling data narratives through interactive dashboards using Power BI, Tableau, and custom Python visualizations Design real-time monitoring solutions with Google Data Studio and Klipfolio Implement advanced time series forecasting using LSTM, GRU, and ARIMA models Technical Arsenal ⚡ Cloud & Infrastructure ☁️ Azure: Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure Stream Analytics, Azure Functions, Azure DevOps, Azure Cosmos DB AWS: Amazon EMR, AWS Glue, Amazon Redshift, Amazon S3, Amazon Athena, AWS Lambda, Amazon QuickSight, Amazon SageMaker, DynamoDB GCP: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Dataproc, Cloud Functions Data Processing & Storage 🔄 Big Data: Apache Spark, Hadoop, Hive, Delta Lake, Databricks Databases: PostgreSQL, MongoDB, Cassandra, Redis, Snowflake Stream Processing: Apache Kafka, Apache Flink, Apache NiFi Data Quality: Great Expectations, dbt, Apache Griffin Machine Learning & AI 🤖 Frameworks: PyTorch, TensorFlow, scikit-learn, Keras, XGBoost, LightGBM MLOps: MLflow, Kubeflow, DVC, Weights & Biases Experimentation: A/B Testing, Multi-armed Bandits AutoML: H2O.ai, AutoKeras, TPOT Development & DevOps 🛠️ Containerization: Docker, Kubernetes CI/CD: Jenkins, GitHub Actions, GitLab CI IaC: Terraform, Ansible, CloudFormation Monitoring: Prometheus, Grafana, ELK Stack Analytics & BI 📊 Visualization: Power BI, Tableau, Looker, QuickSight, Qlik Sense Python: Pandas, NumPy, Matplotlib, Seaborn, Plotly SQL: Advanced SQL, Window Functions, Performance Tuning Notebooks: Jupyter, Databricks Notebooks, Google Colab Signature Achievements 🏆 Reduced data processing time by 60% through optimized ETL pipelines and distributed computing Implemented ML models achieving 85%+ accuracy in predictive maintenance Architected scalable data warehouses handling 10TB+ of structured and unstructured data 📫 Open to collaborations and innovative data projects 🌟 Azure Certified: DP-203 Data Engineer Associate 🏅 Azure Certified: DP-900 Azure Data Fundamentals #DataScience #MachineLearning #Azure #AWS #Python #DeepLearning #ETL #DataEngineering #BigData #AI #DataVisualization #NLP #TimeSeries #CloudComputing #DataArchitecture #DataAnalytics #BusinessIntelligence #PredictiveAnalytics #DataPipelines #DataModeling #Databricks #Snowflake #MLOps #DevOps #Kubernetes #Terraform #ApacheSpark #DataLake #DataWarehouse #StreamProcessing