I’m the founder of Torch Automation, an industrial automation consultancy focused on building modern, reliable applications using Inductive Automation’s Ignition platform. I specialize in designing, modernizing, and supporting SCADA, HMI, and MES solutions for manufacturers and system integrators. My work includes greenfield Ignition builds, legacy system migrations, and improving data visibility, alarming, and operator workflows with an emphasis on long-term maintainability. I’m a Gold Certified Ignition Developer with hands on experience delivering production systems in real manufacturing environments. I value clear communication, practical solutions, and building systems that are easy to support long after deployment. If you’re looking for an Ignition expert who understands both the technology and the plant floor, I’d be happy to help.

🏆 Expert-Vetted - Top 1% on Upwork ✅ Top Rated Plus | 100% Job Success ⚙️ 6+ Years in Production AI & Data Engineering I'm Atique, an AI and Data Engineer who builds LLM systems on top of infrastructure I design and run myself. Most AI projects don't fail on model choice. They fail on the data underneath: documents that won't parse, pipelines that break under real volume, retrieval that can't cite its source. That's the half most AI freelancers hand back to you. It's the half I specialize in. I currently lead the data platform at a Berlin fintech, running Redshift, dbt and Dagster in production for a full analytics team, while delivering AI engagements in legal tech, IT operations, and e-commerce. ⚡ Core Services & Expertise 🔹 RAG & Retrieval Systems Hybrid semantic and keyword search, document and knowledge-base Q&A, answers grounded in source text with page-level citations, vector store architecture, retrieval evaluation. 🔹 AI Agents & Agentic Workflows Autonomous multi-agent systems with tool use, defined escalation paths to humans, and state-machine-backed flows rather than one large prompt. CrewAI, LangGraph, LiteLLM. 🔹 Document AI & OCR PDF and scanned document ingestion, structured extraction into typed schemas, multilingual and non-Latin script handling, entity and timeline extraction, chat over document sets. 🔹 AI Automation n8n, Zapier and Make workflows, plus custom Python orchestration. API and systems integration, manual-work elimination, delivered with SOPs and documentation. 🔹 Production Data Engineering Warehouse design and delivery on Redshift and BigQuery, dbt modelling, Dagster orchestration, zero-ETL and DMS migrations, RBAC, cost and query optimization. The layer that makes AI features reliable instead of demo-only. 🔹 Natural-Language Analytics MCP servers and text-to-SQL over live warehouses, so business teams query data in plain English instead of filing ticket requests. 📌 Selected Work Legal case document platform: court PDF ingestion, extraction of parties and event chronologies, and grounded chat over full case files with source citations. Autonomous IT incident response platform: agents that triage, diagnose and escalate on defined conditions. CrewAI, LangGraph, LiteLLM. MCP server over a production Redshift warehouse, now used daily by a data team in place of writing SQL. Invoice processing automation across BILL API, vision-model extraction, Gmail, Drive, Asana and Sheets. Production Redshift platform with dbt and Dagster serving analysts and data scientists, including zero-ETL integration and live incident recovery. Forecasting and optimization systems in energy: IoT battery control with model predictive control, PV production forecasting, electricity price forecasting. 🛠️ Tech Stack LLMs & Agents: Claude, GPT, open-source models, LangChain, LlamaIndex, LangGraph, CrewAI, LiteLLM, MCP RAG Stack: Vector databases, hybrid retrieval, embeddings, chunking strategies, citation grounding LLM Ops: Prompt engineering, structured outputs, evaluation harnesses, guardrails, refusal handling Dev & Infra: Python, FastAPI, Streamlit, Docker, CI/CD Data Pipelines: SQL, dbt, Dagster, Airflow, Redshift, BigQuery, Postgres, MySQL Cloud: AWS (Redshift, S3, Batch, ECS, DMS, Textract, Lambda), GCP (BigQuery, Cloud SQL) Automation: n8n, Zapier, Make 🤝 How I Work I scope before I build, and I tell you when a brief is underpriced or a requirement won't survive real data. Out of scope goes in writing, so it isn't an argument at invoice time. Acceptance criteria are numbers, not adjectives. End to end: scoping, build, deployment, documentation, handover. If your project is mostly a prompt, you don't need me. If it involves real documents, real data volumes, or a system that has to keep running after handover, that's the work I do. Click "Message" and tell me what you're building. Keywords associated with my skill set: AI Engineer, AI Agent Developer, LLM Developer, RAG Developer, Generative AI, Agentic AI, Multi-Agent Systems, Large Language Models, GPT, Claude, LangChain, LlamaIndex, LangGraph, CrewAI, LiteLLM, MCP, Retrieval-Augmented Generation, Semantic Search, Vector Databases, Embeddings, Prompt Engineering, LLM Evaluation, Chatbot Developer, Document AI, OCR, Document Extraction, Intelligent Document Processing, AI Automation, n8n, Zapier, Make, Workflow Automation, API Integration, Data Engineer, Data Pipelines, ETL, ELT, dbt, Dagster, Airflow, Redshift, BigQuery, Snowflake, SQL, Python, FastAPI, AWS, GCP, Data Warehouse, Analytics Engineering, Text-to-SQL, Machine Learning, Forecasting, MLOps, Fintech, Legal Tech, E-commerce

Zafar Imam - Expert Data Engineer | ETL Specialist | Data Analytics Consultant 💼 9+ Years of Proven Experience in Data Engineering & Analytics 🌍 Expert in AWS, Azure, Snowflake, Airflow, Python, SQL, Pandas, PySpark 💡 I turn complex data into actionable insights that drive business success! Why Hire Me? As an experienced Data Engineer with over four years of hands-on expertise in designing and managing scalable data pipelines, I help businesses turn raw data into valuable insights. My specialty lies in ETL processes, data warehousing, cloud platforms (AWS, Azure), and automation using cutting-edge tools like Airflow, Snowflake, and Python. Whether you're looking to streamline your data workflows or improve business decision-making with accurate data reporting, I've got the skills and experience to deliver top-tier solutions. Key Expertise: Data Engineering & ETL Pipelines: Expertise in building robust data pipelines using Airflow, AWS, Azure, and Snowflake for large-scale data transformation and automation. Cloud Platforms: Advanced knowledge in AWS (S3, Redshift, Athena, Glue) and Azure (ADF, Data Lake, Synapse Analytics) for seamless cloud data integrations. Database Management & Data Warehousing: Efficient in working with Snowflake, Postgres, and Redshift, ensuring data integrity and high availability for enterprise-level clients. Automation & Scripting: Proficient in Python, Pandas, and PySpark, with a track record of automating repetitive data processes and improving overall efficiency. Data Visualization & Analytics: Deliver insightful data visualization and reports using Excel and Snowflake, helping clients make data-driven decisions. Team Leadership & Collaboration: Strong communication skills, enabling effective collaboration with cross-functional teams and clients to ensure project success. Highlighted Projects: Reddit & Twitter Data Pipelines (AWS, Airflow): Built end-to-end data pipelines for extracting, transforming, and loading (ETL) large-scale social media data from Reddit and Twitter using Airflow, AWS S3, Athena, EC2, and Redshift. Smart City Real-Time Car Data (Apache Kafka, AWS Athena): Developed a real-time data processing system for smart city applications using Kafka, AWS IAM, Athena, and RedShift to analyze car sensor data for better city planning. ETL Automation between AWS and Snowflake: Automated complex ETL processes between AWS (S3, RedShift) and Snowflake using Airflow, reducing manual interventions and increasing process reliability. Azure Data Lake Transformation: Created a fully automated ETL pipeline to move and transform data in Azure Data Lake and Synapse Analytics for efficient data analysis. Tech Stack: Cloud: AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena), Azure (ADF, Data Lake, Synapse Analytics) Data Engineering Tools: Airflow, Snowflake, dbt, Apache Kafka Languages: Python, SQL, PySpark Data Analysis & Visualization: Pandas, Excel, Tableau Databases: Postgres, Snowflake, Redshift, MySQL What Can I Do for You? I specialize in helping businesses solve their toughest data challenges: Automate data pipelines to save time and minimize errors. Build scalable data warehousing solutions that support business growth. Turn raw data into actionable insights with custom reports and visualizations. Migrate your data to the cloud for improved scalability and cost efficiency. Client Testimonials ⭐️⭐️⭐️⭐️⭐️ “Zafar's ability to create and automate our ETL processes was a game changer for our business. His expertise in AWS and Snowflake allowed us to process data faster and with greater accuracy.” ⭐️⭐️⭐️⭐️⭐️ “Zafar built an end-to-end data pipeline for our smart city project, handling massive amounts of real-time data flawlessly. His work helped us scale the project quickly and efficiently.” Ready to Talk? Let's connect to discuss how I can help your business leverage data for success. I’m open to long-term collaborations, short-term projects, and everything in between!

6+ years of professional experience in data extraction and web scraping, delivering 400+ successful website scraping projects for diverse clients, including end-to-end process automation solutions. I have extensive expertise in the development of web crawlers🕷️ that are able to, 🧑‍💻 Android Mobile Application data scraping using tools such as Android Debug Bridge (ADB) and the Android emulator to interact. 🧑‍💻 Authenticate themselves and manage sessions (sign in/sign out) 🧑‍💻 Render dynamic content such as JavaScript using browser simulation 🧑‍💻 Extract various types of data including HTML, text, images, tables, API and documents 🧑‍💻 Save extracted data to a file (csv, json, xlsx, xml, pdf, html, etc) 🧑‍💻 Insert it into a database (SQL & NoSQL) 🧑‍💻 Integrate file delivery and error notification through slack or email. 🧑‍💻 Deployment to the cloud for efficient and scalable scraping. 🧑‍💻 Experienced in selecting and configuring appropriate proxy servers and implementing proxy rotation strategies. 🧑‍💻 Proficiency in using crontab and scrapyd for scheduling tasks in our project. 🧑‍💻 Redis Queue to improve the speed and efficiency of our data extraction process. 🧑‍💻 Built APIs using FastAPI that allow users to access and interact with the data extracted from websites through web scraping. Tech stack includes: 💻 Programming languages: Python, R, Shell script 💻 Visualization Tool: Microsoft PowerBI 💻 Addressing Languages: Xpath, css 💻 Scraping libraries: scrapy, aiohttp, selenium, playwright, splash, BS4, Requests 💻 API Creation: Fastapi-python 💻Web automation: Selenium, playwright, Puppeteer 💻 Queuing libraries: Redis with python 💻 Data transformation: Pandas 💻 Databases: MySQL, SQL server, Postgres, Mongodb 💻 Cloud platforms: AWS, Azure (certified). 💻 Scraper deployment: Zyte, scrapydweb (self-managed) 💻 CI/CD: Docker 💻 Project & Code management: Github, Jira 💻 Api tools: Postman

Most companies are rushing to deploy AI agents and copilots on top of data stacks that were never designed to support them. The result: agents that hallucinate, dashboards that contradict each other, and pipelines no one trusts. I'm Robert and I run Brainforge, the leading context engineering firm. I help enterprise services and healthcare organizations fix their foundations — building governed, semantic data systems that make AI reliable, not just impressive in demos. I have a track record of 30+ successful projects - as a data architect and AI strategist with 10+ years of experience. What I Build 1. Data Core & Warehouse Architecture Raw → staging → marts pipelines in Snowflake, BigQuery, and Azure. Clean, version-controlled foundations that agents and dashboards can both depend on. Built with dbt from day one. 2. Semantic Layer & Metric Standardization One definition of revenue, retention, CAC, and LTV — enforced across every dashboard, agent, and workflow. dbt metrics, dimensional logic, verified queries, and access policies so three AI agents don't take three different actions on the same data. 3. Event & Product Analytics Infrastructure Mixpanel, Amplitude, and Segment implementations with clean, versioned schemas. Identity resolution, funnel modeling, and GA4 migration. Built for AI-native products where users interact through agents, prompts, or chat — not just button clicks. 4. Context-as-a-Service for AI Agents Packaged domain context — business rules, semantic definitions, agent skills, approval workflows, and golden evaluation sets — so your agents operate with governed autonomy, not vibes. I structure context across time horizons: moment, session, journey, relationship, and company. 5. Activation, Decisioning & Reporting Audience syncs to CIO, Braze, and Klaviyo. Multi-touch attribution. Lifecycle segmentation. Dashboards in Looker, Sigma, Tableau, and Power BI backed by warehouse-modeled metrics — not one-off queries. Executive scorecards that show what is changing and why. 🤝 Why Clients Hire Me 1. I don't just build pipelines. I build the data systems that make AI trustworthy and scalable 2. I bring proven frameworks: SOMA, AARRR, semantic layer governance, context graph design, and golden eval sets 3. I build once and build right: standardized, documented, and production-ready from day one 🛠 Stack Data Modeling & Warehouse: dbt, Snowflake, BigQuery, Azure, Apache Spark, Airflow, Dagster Product & Event Analytics: Segment, Mixpanel, Amplitude, PostHog, GA4, GTM AI & Context Layer: Semantic layer design, context graph architecture, agent skill design Activation & CDP: Hightouch, Census, CIO, Braze, Klaviyo, HubSpot BI & Reporting: Omni, Looker, Tableau, Sigma, Power BI, Hex Languages & Cloud: Python (Pandas, Polars, Scikit-Learn, TensorFlow), SQL, AWS, GCP, Docker, CI/CD 💬 Let's Talk If - You are deploying AI agents or copilots and your data foundation isn't ready to support them - Your dashboards show different numbers depending on who built them - You are done duct-taping GA4 and want event data that drives real growth - You are building an AI-native product and need to measure activation, trust, and value — not just clicks - You want clean, governed, semantic data systems your whole company can actually use

𝗘𝗡𝗧𝗘𝗥𝗣𝗥𝗜𝗦𝗘 𝗗𝗔𝗧𝗔 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥 & 𝗔𝗜 𝗔𝗥𝗖𝗛𝗜𝗧𝗘𝗖𝗧 | 𝗔𝘇𝘂𝗿𝗲 • 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 • 𝗔𝗪𝗦 • 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 • 𝗚𝗲𝗻𝗔𝗜 ⭐ 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗴𝗿𝗮𝗱𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗳𝗼𝗿 𝗹𝗮𝗿𝗴𝗲 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗶𝗻 𝗘𝘂𝗿𝗼𝗽𝗲 & 𝗠𝗶𝗱𝗱𝗹𝗲 𝗘𝗮𝘀𝘁 ⭐ 8+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 (𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲, 𝗚𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁, 𝗘𝗻𝗲𝗿𝗴𝘆, 𝗔𝘃𝗶𝗮𝘁𝗶𝗼𝗻, 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲) ⭐ 𝗣𝗿𝗼𝘃𝗲𝗻 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝗼𝘂𝘁𝘀𝗶𝗱𝗲 𝗨𝗽𝘄𝗼𝗿𝗸 — 𝗻𝗼𝘄 𝗯𝗿𝗶𝗻𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗵𝗲𝗿𝗲 I am a 𝗦𝗲𝗻𝗶𝗼𝗿 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 / 𝗗𝗮𝘁𝗮 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 with 8+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 designing and delivering 𝗹𝗮𝗿𝗴𝗲-𝘀𝗰𝗮𝗹𝗲 𝗱𝗮𝘁𝗮 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀, 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀, 𝗮𝗻𝗱 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 for 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗘𝘂𝗿𝗼𝗽𝗲 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗠𝗶𝗱𝗱𝗹𝗲 𝗘𝗮𝘀𝘁. While I am 𝗻𝗲𝘄 𝘁𝗼 𝗨𝗽𝘄𝗼𝗿𝗸, I have already 𝗲𝘅𝗲𝗰𝘂𝘁𝗲𝗱 𝗰𝗼𝗺𝗽𝗹𝗲𝘅, 𝗵𝗶𝗴𝗵-𝗶𝗺𝗽𝗮𝗰𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 in full-time and consulting roles for 𝗴𝗹𝗼𝗯𝗮𝗹 𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻𝘀, including 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝘀𝗺𝗮𝗿𝘁 𝗰𝗶𝘁𝗶𝗲𝘀, 𝗰𝗹𝗲𝗮𝗻 𝗲𝗻𝗲𝗿𝗴𝘆, 𝗮𝘃𝗶𝗮𝘁𝗶𝗼𝗻, 𝘁𝗲𝗹𝗲𝗰𝗼𝗺, 𝗮𝗻𝗱 𝗴𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 sectors. My strength lies in 𝗧𝗨𝗥𝗡𝗜𝗡𝗚 𝗖𝗢𝗠𝗣𝗟𝗘𝗫, 𝗠𝗘𝗦𝗦𝗬 𝗗𝗔𝗧𝗔 𝗜𝗡𝗧𝗢 𝗥𝗘𝗟𝗜𝗔𝗕𝗟𝗘, 𝗦𝗖𝗔𝗟𝗔𝗕𝗟𝗘, 𝗔𝗡𝗗 𝗗𝗘𝗖𝗜𝗦𝗜𝗢𝗡-𝗥𝗘𝗔𝗗𝗬 𝗔𝗡𝗔𝗟𝗬𝗧𝗜𝗖𝗦 𝗣𝗟𝗔𝗧𝗙𝗢𝗥𝗠𝗦 — from raw ingestion to executive dashboards and AI-powered insights. 💬 𝗪𝗛𝗔𝗧 𝗦𝗧𝗔𝗞𝗘𝗛𝗢𝗟𝗗𝗘𝗥𝗦 𝗩𝗔𝗟𝗨𝗘 𝗔𝗕𝗢𝗨𝗧 𝗠𝗬 𝗪𝗢𝗥𝗞 ✔️ Enterprise-ready architecture & documentation ✔️ Clean, scalable, future-proof data models (Star Schema, Lakehouse, Medallion) ✔️ Strong communication with business & technical teams ✔️ Reliable delivery under tight timelines ✔️ Focus on business outcomes, not just tools 🧠 𝗪𝗛𝗔𝗧 𝗜 𝗖𝗔𝗡 𝗗𝗢 𝗙𝗢𝗥 𝗬𝗢𝗨 🔹 𝗗𝗔𝗧𝗔 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 & 𝗔𝗥𝗖𝗛𝗜𝗧𝗘𝗖𝗧𝗨𝗥𝗘 Design end-to-end data platforms (Azure, AWS, Snowflake, GCP) Build scalable ETL / ELT pipelines using: Azure Data Factory, Databricks, Fabric Apache Spark / PySpark, Hadoop, NiFi, Kafka AWS Glue, Kinesis, Lambda, EMR Implement Lakehouse architectures (Delta Lake, OneLake, Medallion patterns) Enterprise Data Warehousing (Snowflake, Synapse, BigQuery, Redshift, Oracle) 🔹 𝗔𝗡𝗔𝗟𝗬𝗧𝗜𝗖𝗦 & 𝗕𝗨𝗦𝗜𝗡𝗘𝗦𝗦 𝗜𝗡𝗧𝗘𝗟𝗟𝗜𝗚𝗘𝗡𝗖𝗘 Executive-level 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 (𝗞𝗣𝗜𝘀, 𝗱𝗿𝗶𝗹𝗹-𝗱𝗼𝘄𝗻𝘀, 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴) 𝗗𝗮𝘁𝗮 𝗺𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 (𝗦𝘁𝗮𝗿 𝗦𝗰𝗵𝗲𝗺𝗮, 𝗗𝗮𝘁𝗮 𝗠𝗮𝗿𝘁𝘀, 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗟𝗮𝘆𝗲𝗿𝘀) 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 Financial, operational, and real-time analytics 🔹 𝗚𝗘𝗡𝗘𝗥𝗔𝗧𝗜𝗩𝗘 𝗔𝗜 & 𝗔𝗗𝗩𝗔𝗡𝗖𝗘𝗗 𝗔𝗡𝗔𝗟𝗬𝗧𝗜𝗖𝗦 AI-enabled analytics using 𝗔𝘇𝘂𝗿𝗲 𝗢𝗽𝗲𝗻𝗔𝗜 / 𝗢𝗽𝗲𝗻𝗔𝗜 / 𝗟𝗟𝗠𝘀 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 (𝗣𝘆𝘁𝗵𝗼𝗻, 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀) 𝗥𝗔𝗚-𝗯𝗮𝘀𝗲𝗱 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 & 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗔𝘇𝘂𝗿𝗲 𝗠𝗟 & 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗠𝗟 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 🔹 𝗗𝗔𝗧𝗔 𝗚𝗢𝗩𝗘𝗥𝗡𝗔𝗡𝗖𝗘 & 𝗘𝗡𝗧𝗘𝗥𝗣𝗥𝗜𝗦𝗘 𝗥𝗘𝗔𝗗𝗜𝗡𝗘𝗦𝗦 Microsoft Purview, Unity Catalog, Informatica Data lineage, cataloguing & compliance Secure enterprise data access models 🛠️ 𝗠𝗬 𝗖𝗢𝗥𝗘 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 Cloud & Platforms Azure (ADF, Fabric, Synapse, Databricks, Purview, Azure OpenAI) AWS (Glue, Kinesis, Lambda, EMR, Redshift, SageMaker) Snowflake, GCP Big Data & Processing Spark / PySpark, Hadoop, Kafka, NiFi, Airflow Databases & Storage Snowflake, SQL Server, Oracle, PostgreSQL, MySQL, Delta Lake, Redis, MongoDB BI & Visualisation Power BI, SSRS, Advanced SQL Analytics Programming Python, SQL, PySpark, PL/SQL AI / ML Scikit-Learn, Pandas, NumPy, TensorFlow, PyTorch 🌍 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦 𝗜’𝗩𝗘 𝗪𝗢𝗥𝗞𝗘𝗗 𝗪𝗜𝗧𝗛 Healthcare • Smart Cities • Clean Energy • Aviation • Government • Telecom • Enterprise SaaS • Infrastructure 🤝 𝗪𝗛𝗬 𝗛𝗜𝗥𝗘 𝗠𝗘 𝗢𝗡 𝗨𝗣𝗪𝗢𝗥𝗞? ✔️ Enterprise-level skills without enterprise overhead ✔️ Strong architecture + hands-on implementation ✔️ Clear communication & documentation ✔️ Long-term mindset — not just task delivery If you are looking for someone who can own your data platform end-to-end, speak confidently with stakeholders, and deliver production-ready solutions, I’d love to help. 📩 𝗟𝗘𝗧’𝗦 𝗧𝗔𝗟𝗞 Click “𝗜𝗻𝘃𝗶𝘁𝗲 𝘁𝗼 𝗝𝗼𝗯” and let’s discuss how I can help you 𝗗𝗘𝗦𝗜𝗚𝗡, 𝗙𝗜𝗫, 𝗦𝗖𝗔𝗟𝗘, 𝗢𝗥 𝗢𝗣𝗧𝗜𝗠𝗜𝗦𝗘 your data and analytics systems. Looking forward to working with you! — 𝗦𝘆𝗲𝗱 𝗔𝗵𝗺𝗲𝗱 𝗦𝗵𝗮𝗵

Database Design and Programming: With a comprehensive set of skills in database design and programming that span a wide swath of industry sectors, I can design, manage and maintain relational databases that withstand the test of time. As an experienced data molder, I know how to design extensibility into the database, enabling it to gracefully accommodate changing and expanding business requirements. ETL (Extract, Transform, Load) Integrations: I use SSIS to automate whatever can be automated. My experience with SSIS ranges from typical involvement in BI data pipelines to highly automated development cycles, that is, drop the database, create empty database from DDL from data model tooling, load current iteration of database from “starter databases”, correcting any failures; with each iteration of the build, the database becomes more extensible and business rules more solidly enforced. One Shot Data Warehouses: For smaller projects, I can use SSIS to create a “One Shot” data warehouse for approximately 10% of the cost of a traditional data warehouse. For this type of system, the “initial historical” load happens with each refresh of the data. Granted, there is no tracking of history via “slowing changing dimensions”, and auditing and error handling are very minimal. However, the ability to make major extensions and revisions to the system is amazingly easy. I have created many such systems where a traditional data warehouse was not an option; the customer gets 70% of the bang for 10% of this cost. Non-Analytical Integrations: I have years of experience in creating integrations between a company’s internal databases and a wide variety of external systems purely for operational purposes. Often, this required me to extend a company’s IT infrastructure and almost always involved SSIS. Intractable Legacy Databases: With a combination of heavy transformations in SSIS and highly customized data models, I can create a normalized version of a severely de-normalized legacy database. This version of the database (still a transactional design, replete with referential integrity) can be used as a staging database for further BI or can be used for non-analytical operational reporting and other operational data stores. Often, the data refresh is so fast that users can refresh the data as needed. MS Access Development: I have expertise in most aspects of Access database design and programming.

AI Consultant | Software Engineer | Automation & Digital Transformation Specialist I help founders, startups, and established businesses design and implement AI-powered software solutions that solve real problems, reduce operational friction, and unlock growth. My work sits at the intersection of strategy and execution. That means I don’t just tell you what to build - I help you identify the right opportunities for AI and automation, then design, develop, and deploy systems that actually work in production. If you’re tired of vague AI promises and want practical, business-ready solutions, you’re in the right place. 🔍 What I Specialize In ✔ AI Consulting & AI Strategy ✔ AI Automation & Intelligent Workflow Design ✔ Custom Software Development (Web & Backend) ✔ AI Chatbots & Virtual Assistants ✔ Machine Learning & Data-Driven Systems ✔ API Development & Third-Party Integrations ✔ SaaS Platforms & Scalable Architectures ✔ CRM, ERP & Business System Integrations ✔ Cloud-Ready, Secure & High-Performance Solutions 🤖 AI Consultation - From Idea to Impact AI should simplify your business, not complicate it. Through my AI consultation services, I help you move from “We think AI could help” to “We know exactly what to build and why.” 🔹 Identify high-impact AI & automation opportunities 🔹 Assess technical feasibility and ROI before you invest 🔹 Recommend the right tools, models, and architecture 🔹 Design PoCs and MVPs that validate ideas quickly 🔹 Build scalable roadmaps for full AI implementation This is ideal for non-technical founders, decision-makers, and teams who want clarity, confidence, and a clear execution plan. 💻 Software Development & Automation Once the strategy is clear, I deliver clean, scalable, and production-ready systems: ✅ Custom web applications & backend systems ✅ AI-powered features integrated into existing products ✅ Automation pipelines that eliminate manual work ✅ Reliable APIs and seamless third-party integrations ✅ Systems built to scale, adapt, and evolve Every solution is designed with performance, maintainability, and long-term growth in mind. My Working Style (Why Clients Rehire Me) • Business-first, outcome-driven approach • Clear communication and structured delivery • Honest advice - even if it means not using AI • Long-term partnership mindset, not one-off gigs I focus on solving the right problem, not just shipping code. 🎯 Who I Work Best With ✔ Startups building MVPs or AI-enabled products ✔ Businesses automating operations and workflows ✔ Founders needing expert AI guidance before investing ✔ Companies modernizing legacy systems ✔ Teams seeking a reliable, long-term tech partner Let’s Build Something Intelligent If you’re looking for AI consulting, automation, or custom software development that delivers measurable business value, let’s connect and define the smartest path forward.

Hi, I’m Uzair—a seasoned data architect specializing in architecting cutting-edge data products using the Databricks platform. With over 7 years of experience and 50+ successful projects under my belt, I’ve mastered the art of transforming complex data challenges into scalable, AI-powered solutions. My expertise centers on leveraging the Databricks Lakehouse Platform to build robust data pipelines, seamlessly integrate machine learning models, and drive actionable insights across multiple industries. My Expertise in Databricks-Centric Data Product Architecture Databricks & Big Data: I design and implement large-scale data processing solutions using Databricks’ Apache Spark engine. By architecting efficient pipelines and utilizing Delta Lake, I ensure that your data infrastructure is both resilient and agile, ready to power real-time analytics and business intelligence. Machine Learning & Deep Learning on Databricks: I develop and deploy scalable machine learning models directly within the Databricks environment. Leveraging frameworks like TensorFlow, PyTorch, and scikit-learn alongside MLflow for model tracking, I help businesses unlock predictive capabilities and automate complex decision-making processes. Cloud Engineering with Databricks: Whether on AWS, Azure, or GCP, I architect and optimize Databricks clusters that integrate seamlessly into your cloud infrastructure. My solutions ensure that your data products are both robust and scalable, offering a unified platform for data engineering, analytics, and AI. Data Analytics & Visualization: Using Databricks notebooks and SQL analytics, I transform raw data into actionable insights. I further integrate these insights with visualization tools like Tableau and Power BI, crafting intuitive dashboards that drive strategic business decisions. End-to-End Data Product Development: From data ingestion to model deployment and continuous improvement, I design end-to-end data products that harness the full power of the Databricks ecosystem. My approach is tailored to meet each client’s unique needs, ensuring efficient, scalable, and cost-effective solutions. Through expert data analysis, streamlined machine learning pipelines, and advanced infrastructure design on Databricks, I help organizations modernize their data architecture—unlocking the full transformative potential of AI and data. Let’s collaborate to build innovative data products that give your business a competitive edge.

✅ Top Rated Plus Profile ✅ All 5★ Feedback ✅ 2999+ Upwork Hours ✅ Proven Track Record of High-Quality Delivery 🔥 I am a Full Stack Developer with strong hands-on experience in building scalable, efficient, and high-performing web applications. 🖥 Over the years, I have worked with multiple clients and businesses, helping them develop reliable digital solutions. I focus on clean coding practices, responsive design, and improving application performance to ensure a smooth user experience. I understand both the technical and business side of projects, which allows me to deliver solutions that are not only functional but also aligned with real business goals. ⚡ Frontend Development Expertise I build modern, fast, and responsive user interfaces with a strong focus on performance and usability. • Angular, React JS, Vue JS, Next.js • HTML, CSS, Responsive Web Design • Strong understanding of DOM structure and optimization • Performance optimization and UI improvements ⚡ Backend Development Expertise I develop secure, scalable backend systems and APIs that power modern applications. • Node.js, Express.js • Python   • REST API & SOAP Web Services integration • Strong application logic and system design ⚡ Database Expertise I design and manage databases with a focus on performance, scalability, and data integrity. • MongoDB   • MSSQL   • Strong SQL knowledge • Query optimization and efficient data handling ⚡ PHP & Frameworks • Core PHP • Laravel   • CodeIgniter   • CakePHP   ⚡ Mobile App Development • Ionic Framework • React Native (Hybrid Applications) ⚡ Core Technical Strengths • Strong Object-Oriented Programming (OOP) concepts • Clean, scalable, and maintainable code • Performance optimization and efficiency improvements • Cross-browser compatibility and responsive design ⚡ Tools & Workflow I follow structured processes to ensure smooth collaboration and timely delivery. • Version Control: Git, Bitbucket • Project Management: Jira, Trello, Basecamp 💡 What You Can Expect From Me • Complete Full Stack Development (Frontend + Backend) • Clean and well-structured code • On-time delivery with regular updates • Scalable and future-ready solutions • Long-term support and collaboration 💬 I believe in clear communication, transparency, and building long-term relationships. I take full responsibility for my work and ensure that every project is delivered with high quality and attention to detail. If you are looking for a dependable Full Stack Developer who can understand your requirements and deliver results professionally, I am ready to work with you.