Hire the Best Certified Microsoft Azure Data Engineer Associates

Data Engineer and Analytics Engineer building ETL and ELT pipelines, cloud data warehouses, governed BI and production AI, handed over as code your team owns. Most data work fails at the seams. The pipeline lands data nobody trusts. The dashboard shows a number finance disputes. The AI pilot stalls because the data model underneath it was never built. I cover data engineering, business intelligence and machine learning end to end, so those seams stay closed. 15 delivered projects across retail, e-commerce, finance, oil & gas and manufacturing. Founded 2021. Team of 10. 𝗗𝗔𝗧𝗔 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚: 𝗘𝗧𝗟, 𝗘𝗟𝗧, 𝗣𝗜𝗣𝗘𝗟𝗜𝗡𝗘𝗦, 𝗪𝗔𝗥𝗘𝗛𝗢𝗨𝗦𝗘 𝗠𝗜𝗚𝗥𝗔𝗧𝗜𝗢𝗡 Cloud data pipelines, lakehouses and data warehouses on Azure, AWS and GCP: Azure Databricks, Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse, Azure Data Factory, AWS Glue, Apache Airflow, dbt, Kafka, Flink, Spark and PySpark. New builds, plus data migration off SSIS, Informatica, Oracle and end-of-life on-premise estates, with parallel-run reconciliation so you can prove the new warehouse matches the old before cutover. Real-time streaming pipelines, change data capture and dimensional data modelling that stays queryable as volumes grow. 𝗕𝗨𝗦𝗜𝗡𝗘𝗦𝗦 𝗜𝗡𝗧𝗘𝗟𝗟𝗜𝗚𝗘𝗡𝗖𝗘: 𝗣𝗢𝗪𝗘𝗥 𝗕𝗜, 𝗧𝗔𝗕𝗟𝗘𝗔𝗨, 𝗟𝗢𝗢𝗞𝗘𝗥 Power BI dashboards, Tableau reporting and Looker semantic models on one governed metrics layer, so teams stop reporting three different revenue figures. Data governance with named metric owners, dbt test coverage, data quality checks and data contracts in CI, plus observability that catches incidents before your users do. Embedded, multi-tenant analytics for SaaS products. 𝗔𝗜 𝗔𝗡𝗗 𝗠𝗔𝗖𝗛𝗜𝗡𝗘 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚: 𝗥𝗔𝗚, 𝗟𝗟𝗠 𝗔𝗚𝗘𝗡𝗧𝗦, 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡 𝗠𝗟 GenAI and LLM agents that cite their sources and escalate instead of guessing. RAG pipelines, vector databases and agent orchestration with LangChain, LangGraph, CrewAI, Qdrant, Milvus, Whisper and FastAPI. Plus production machine learning: demand forecasting, feature platforms and MLflow-managed retraining, with guardrails, labelled evaluation and a regression gate before release. 𝗦𝗘𝗟𝗘𝗖𝗧𝗘𝗗 𝗥𝗘𝗦𝗨𝗟𝗧𝗦 • Retail data warehouse migration: 480+ SSIS packages on SQL Server rebuilt as an Azure Databricks lakehouse. Nightly batch 7h40m to 1h05m, SLA breaches 11 nights a month to under 1. • Oracle Exadata and Informatica retired onto Azure Synapse for an insurance carrier. Nightly ETL load 9h20m to 1h50m, recovery from a full 9-hour rerun to restarting at the failure point. • Regulatory reporting data mart for a bank: reporting cycle 11 working days to 2.5. • Real-time inventory and store operations platform: stock latency from overnight batch to under 5 seconds. • Embedded customer analytics for a B2B SaaS product: in-app dashboards 20s+ at P95 to under 3 seconds, tenant isolation structural and CI-tested. • Enterprise Power BI rollout across a manufacturer's plants: month-end prep from 3 days per plant controller to same-day. • Production and HSE analytics for an oil & gas operator: daily operations pack from manually assembled at 10:00 to automated by 06:30. • AI support agent for a B2B SaaS platform: 58% of qualified tier-1 intents resolved autonomously, with citations and escalation. • Analytics assistant and demand forecasting for a retailer: ad-hoc data team requests from ~340 a month to ~95. 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 You own the code: version-controlled, tested and documented, in your repositories and cloud accounts. No proprietary framework to keep paying for. I lead with the business problem, not the tool. If three teams report three different revenue numbers, the fix is a governed definition and an owner, not another dashboard. Quality gates block bad data rather than publishing it quietly: data contracts in CI, freshness checks, tests that fail the pipeline not the month-end close. Handover is part of delivery: runbooks, architecture docs and enablement, so your team ships without me. 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 Azure Databricks, Snowflake, BigQuery, Redshift, Synapse, Delta Lake, Unity Catalog, dbt, Airflow, Kafka, Flink, Spark, PySpark, Azure Data Factory, AWS Glue, Dataflow, Debezium, Fivetran, Airbyte, ClickHouse, PostgreSQL, SQL Server, Power BI, Tableau, Looker, LookML, QuickSight, Purview, LangChain, LangGraph, CrewAI, Qdrant, Milvus, Whisper, MLflow, FastAPI, Terraform, Kubernetes, Docker, GitHub Actions, Prometheus, Grafana, Python, SQL, Scala. 𝗔 𝗚𝗢𝗢𝗗 𝗙𝗜𝗧 𝗜𝗙 A data pipeline or warehouse that has outgrown how it was built. Disputed reporting needing one governed set of numbers. AI in your product needing a data foundation that survives it. Or an inherited estate nobody understands. 𝗣𝗥𝗢𝗕𝗔𝗕𝗟𝗬 𝗡𝗢𝗧 𝗔 𝗙𝗜𝗧 𝗜𝗙 A one-off dashboard with no underlying model, or a proof of concept nobody intends to run. Send me your setup and I will tell you straight whether it is worth the engineering.

I am a Principal Engineer, usually involved in identifying feasibility, laying out cloud infrastructure and application architecture, shaping the User Experience, applying Behaviour/Test-Driven Development, and finally delivering a well-monitored and well-documented product. My process: 1. Build from the top → define the expected behaviour and outcome → break it into granular test cases → build and evaluate against those tests. 2. Reduce unnecessary AI decisions wherever deterministic software can do the job, while properly evaluating the parts that need an LLM. 3. Separate retrieval, reasoning, tools, and application logic so individual components can evolve or scale without rebuilding the entire system. 4. Track model and infrastructure costs as part of the architecture, including token usage, model routing, fallback spend, context window utilization, and cheaper alternatives where quality is unaffected. 5. Prioritizing Data Security and Compliance at each increment. (controlling unexpected token spend, which is very common, preventing PII exposure, and maintaining proper credential management) Please see my portfolio to understand the type of AI applications I can/have built. I work particularly well on problems involving external data compilation sets and large or complex internal datasets: documents, databases, APIs, SharePoint/Drive content, regulations, operational records, and other internal/acquired business knowledge that needs to become searchable, understandable, or actionable through AI. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐰𝐨𝐫𝐤: • 𝐀𝐧 𝐀𝐈 𝐜𝐨-𝐟𝐨𝐮𝐧𝐝𝐞𝐫 𝐟𝐨𝐫 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐚𝐧𝐝 𝐒𝐌𝐁𝐬: specialist agents for planning, fundraising, and go-to-market, plus a graph and vector investor matching engine, exposed via WhatsApp. • 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐨𝐯𝐞𝐫 𝐔𝐒 𝐞𝐧𝐞𝐫𝐠𝐲 𝐟𝐢𝐥𝐢𝐧𝐠𝐬: docket timelines, typed extraction contracts, graph database to connect different elements of unstructured documents to map against a user-friendly taxonomical hierarchy and validation gates before anything reaches a count or a report. • 𝐀𝐳𝐮𝐫𝐞-𝐨𝐧𝐥𝐲 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐟𝐨𝐫 𝐚 𝐠𝐥𝐨𝐛𝐚𝐥 𝐛𝐞𝐚𝐮𝐭𝐲 𝐫𝐞𝐭𝐚𝐢𝐥𝐞𝐫: 10,000+ employees, hybrid retrieval over policies and procedures, department-level access control, inside the client's own tenancy under GDPR and CCPA. • 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐚𝐧𝐨𝐦𝐚𝐥𝐲 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐨𝐯𝐞𝐫 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 𝐝𝐚𝐭𝐚: text-to-SQL for the records, retrieval for the documentation, and an agent orchestrator deciding which one a question actually needs. • 𝐈𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐢𝐦𝐩𝐚𝐜𝐭 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐟𝐨𝐫 𝐚 𝐠𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐪𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫: typed extraction per section, comparison against the national baseline, and answers driven by structured queries. Depending on the problem, my work usually involves: → Data Extraction and Transformation [via scraping, crawling, browser/computer tools] → Hybrid, bottom-up and multi-stage retrieval → Metadata filtering and self-querying → Structured data and text-to-SQL → Reranking and contextual retrieval → Knowledge extraction and document intelligence → GraphRAG and knowledge graphs → Evaluation datasets and retrieval testing → Citations, provenance and grounding controls → LLM evaluation and monitoring → Model routing and fallback strategies → Token and infrastructure cost controls → Security and PII protection → Scalable APIs and background processing → Observability and production monitoring → Deployment, CI/CD, and cloud infrastructure Day-to-day: Python/FastAPI, LangChain/LangGraph, LlamaIndex, OpenAI, Claude, Azure OpenAI, AWS Bedrock, PostgreSQL, MongoDB, Redis, Azure AI Search, Pinecone, Milvus, Qdrant, Weaviate, Docker, Kubernetes, Terraform, AWS, and Azure. 6+ years in software and cloud engineering, AWS- and Microsoft Azure-certified, with contributions to the open-source LLM and retrieval ecosystem, including LangChain, LlamaIndex, LangGraph, and n8n. If you already have an AI product, I can help identify where retrieval, evaluation, reliability, architecture, security, or cost is holding it back. If you are starting from an idea, I can help determine the simplest architecture worth building first, validate it quickly, and develop it into something that can hold up in production.

𝐙𝐎𝐇𝐎 𝐀𝐔𝐓𝐇𝐎𝐑𝐈𝐙𝐄𝐃 𝐏𝐀𝐑𝐓𝐍𝐄𝐑 | 𝐂𝐑𝐌 𝐀𝐑𝐂𝐇𝐈𝐓𝐄𝐂𝐓 | 𝐀𝐈 𝐀𝐔𝐓𝐎𝐌𝐀𝐓𝐈𝐎𝐍𝐒 & 𝐒𝐌𝐀𝐑𝐓 𝐈𝐍𝐓𝐄𝐆𝐑𝐀𝐓𝐈𝐎𝐍𝐒 ⏰ Terrific Upwork History with 34000+ Hours & Counting 🏅 Top-Rated Plus Badge 💯 98% Job Success 👌 High Client Recommendations 👋 Hi, I'm Parveen, a Certified Zoho Expert with over 10 years of experience and a proven track record of delivering 500+ successful projects across diverse industries. I specialize in building custom Zoho solutions, automating workflows, and integrating third-party platforms to simplify and supercharge your business operations. From CRM customization to API development and Zoho Creator apps, I bring deep technical expertise to every project. 💡 𝐘𝐨𝐮𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐌𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 Let’s work together to build smart, scalable, and fully automated systems that align perfectly with your business goals. Whether you're just getting started with Zoho or need to optimize a complex setup, I’m here to help make it seamless and stress-free. 🔥 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐭𝐡𝐞 𝐓𝐚𝐛𝐥𝐞 ✅ Tailored Zoho Widgets & Extensions – Custom screens and interfaces designed to your exact needs ✅ End-to-End Zoho Solutions – CRM, Finance Suite, E-commerce, and more ✅ Effortless Integrations – n8n, Twilio, Salesforce, HubSpot, Airtable, RingCentral, Zapier, Make, Zia LLM, ChatGPT & beyond ✅ Smart Workflow Automation – Streamlined, data-driven business processes ✅ Custom API Development – Secure, scalable, and fully tailored to your business ✅ E-commerce & Finance Expertise – Shopify, Amazon, Zoho Books & Inventory setups 💼 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 🌟 Zoho Suite Mastery Expert-level experience with the entire Zoho ecosystem, including: Zoho CRM, Creator, Campaigns, Desk, Projects, Invoice, Books, People, Subscriptions, Recruit, Reports (Analytics), Inventory, Docs, Meeting, Sites, Commerce, and Zoho Flow – to automate and optimize your business operations. 🌟 Full-Stack Development Skilled in both front-end and back-end technologies: Front-end – HTML, CSS, JavaScript, React, Angular Back-end – Node.js, Python, Django, Ruby on Rails, PHP, Java 🌟 Database Management Proficient in handling both relational and NoSQL databases: MySQL, PostgreSQL, MongoDB, Cassandra 🌟 Cloud Platform Proficiency Hands-on experience with cloud services to build scalable, secure apps: AWS, Microsoft Azure, Google Cloud 🌟 WordPress & CMS Expertise Custom theme development, plugin integration, and performance optimization using WordPress. 🌟 Programming Languages & Frameworks ✅ Languages – Python, PHP, Java, JavaScript ✅ Frameworks – Hibernate, Spring, JSF, Django, Flask, Laravel, CakePHP 🔍 𝗟𝗲𝘁’𝘀 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 I am passionate about helping businesses leverage technology to improve operational efficiency, automate processes, increase revenue, and create scalable systems. Whether you need CRM implementation, workflow automation, custom development, system integrations, data migration, or strategic consulting, I'm here to help you succeed. I provide reliable post-implementation support, ongoing optimization, and quick turnaround for bug fixes and enhancements to ensure your systems continue running smoothly. ⏰Open to work in EST, CST, PST, and global time zones. 📩 Reach out today to start a conversation about how I can contribute to your project’s success! Parveen Kumar Zoho Certified Consultant

120+ accounting and ERP integrations delivered. My biggest? A unified 6-platform accounting sync (QuickBooks Online, QuickBooks Desktop, Xero, NetSuite, Sage Intacct, Dynamics 365 Business Central) for Fraxion, an eProcurement SaaS used by 200,000+ users across 1,000+ companies. If your system needs to talk to an accounting or ERP platform, I have done it before. What I build: - Custom API integrations between your app/platform and accounting systems (QuickBooks, Xero, NetSuite, Sage, Dynamics 365, Zoho Books) - eCommerce-to-accounting sync (Shopify, WooCommerce, Linnworks to QuickBooks/Xero) - Invoice, payment, and financial data automation - SaaS product integrations for companies that want to offer accounting connectivity to their users - CRM-to-accounting workflows (HubSpot, Salesforce, Pipedrive to QuickBooks/Xero/NetSuite) Recent projects: - Cut manual data entry by 75% for a UK skincare brand by integrating Shopify, WooCommerce, HubSpot, Linnworks, Xero, and Stripe into one centralized platform - Built NetSuite integration for Calxa, an Australian budgeting software used by 1,300+ businesses - Automated multi-level tax reporting for a $5M IT company using QuickBooks Desktop - Turned an Excel-based nonprofit finance workflow into a cloud SaaS app with QuickBooks Online integration in 9 months - 80+ detailed case studies available in my portfolio below How I work: - Free 1-hour consultation on your integration challenge - Detailed project estimate within 24 hours - Fixed-scope or hourly, your choice - Full documentation and source code handover included - Post-launch support available Tech stack: Node.js, MERN, Python, .NET Core, PHP | AWS, Azure, GCP | n8n, Zapier, Make, Power Automate Platforms I integrate: Accounting: QuickBooks (Online and Desktop), Xero, Zoho Books, MYOB, Sage (50/100/200/300/Intacct/X3), Wave, FreshBooks ERP: NetSuite, SAP, Microsoft Dynamics 365 / Business Central, Acumatica, Odoo eCommerce: Shopify, WooCommerce, Magento, BigCommerce, Linnworks, Amazon, eBay CRM: Salesforce, HubSpot, Zoho CRM, Pipedrive I am the founder of Satva Solutions, a 15+ year integration-focused development firm. I personally lead every project from scoping through delivery. Send me a message or invite me to your job.