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Most Azure data teams are stuck with brittle pipelines, SSIS packages nobody wants to touch, and Fabric migrations that stalled halfway. That's exactly what I fix. 𝗔𝗗𝗙 | 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 | 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 | 𝗦𝘆𝗻𝗮𝗽𝘀𝗲 | 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 | 𝗟𝗼𝗴𝗶𝗰 𝗔𝗽𝗽𝘀 | 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 | 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 ────────────────────────────── As a Senior Azure Data Engineer with 8+ years of experience, I don't just build ADF pipelines and call it done. I architect end-to-end data systems — from multi-source ingestion through Microsoft Fabric Lakehouse and Medallion Architecture to Power BI reporting — built for scale, fault tolerance, and AI readiness. 100% Job Success Score · Top Rated on Upwork · US enterprise clients · Microsoft partner teams · Finance, Healthcare & Retail ────────────────────────────── → 𝗪𝗵𝗲𝗿𝗲 𝗜 𝗺𝗮𝗸𝗲 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗶𝗺𝗽𝗮𝗰𝘁 • Built ADF + Databricks pipelines processing 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝗿𝗼𝘄𝘀 for US enterprise clients — fast single-record retrieval under milliseconds • Designed Medallion Architecture automating 𝟭𝟰𝟬+ 𝗱𝗮𝗶𝗹𝘆 𝗳𝗶𝗹𝗲𝘀 (CSV, Excel, Fixed-Width) at Fintexinc Canada • Reduced manual effort by 𝟲𝟬% via ADF + PySpark + Synapse automation at Capgemini • Cut manual reporting effort by 𝟲𝟬% automating Zoom & CVENT API data pipelines via Logic Apps • Delivered production-ready RAG system on Azure AI Foundry 𝗶𝗻 𝘂𝗻𝗱𝗲𝗿 𝟮 𝗱𝗮𝘆𝘀 — hybrid semantic + keyword retrieval • Collaborated directly with 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 to build Purview as a Service — enterprise-scale governance automation ────────────────────────────── 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 𝗪𝗶𝘁𝗵 🗄️ Warehouses, Lakehouses & Data Lakes: Microsoft Fabric Lakehouse, Azure Synapse Analytics, Databricks, Snowflake, ADLS Gen2, Delta Lake ⚙️ Pipelines & Orchestration: Azure Data Factory (ADF), Synapse Pipelines, Fabric Data Factory, Databricks Workflows 🔄 Transformation: PySpark, Apache Spark, Python, SQL, Medallion Architecture (Bronze/Silver/Gold), Star Schema 📨 Streaming & Real-Time: Azure Event Hubs, Fabric Eventstream, Azure Stream Analytics 🔗 Migrations & Integrations: SSIS → ADF, on-prem to Azure, SAP ECC/Hana, Salesforce, Oracle, MySQL, PostgreSQL, MongoDB, CDC pipelines ⚡ Automation: Logic Apps, Power Automate, Azure Function Apps 🤖 AI & RAG: Azure OpenAI, Azure AI Foundry, RAG pipelines, AI agents, Azure Cognitive Search, Prompt Engineering ☁️ Cloud & Infra: Microsoft Azure, ADLS, Azure Key Vault, Azure Monitor, Azure DevOps 🐍 Languages: Python, PySpark, SQL (T-SQL, views, procedures, functions), REST APIs 🗃️ Databases: SQL Server, Snowflake, MongoDB, PostgreSQL, MySQL, Oracle, Dataverse 📊 BI & Reporting: Power BI, KQL, Azure Log Analytics, Azure Data Explorer 🏛️ Governance: Microsoft Purview — cataloging, lineage, GDPR/HIPAA compliance 🛠️ Dev Tools: GitHub, Azure DevOps, drawio, Visio, Postman ────────────────────────────── 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 ✅ 𝗔𝗗𝗙 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝗮𝘁 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘀𝗰𝗮𝗹𝗲 — billions of rows, with error handling, retry logic, monitoring, and documented architecture your team can maintain ✅ 𝗦𝗦𝗜𝗦 → 𝗔𝗗𝗙 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 — full package analysis, conversion, testing, and production deployment ✅ 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲 𝗯𝘂𝗶𝗹𝗱𝘀 — ingestion to Medallion Architecture to Power BI, with lineage and observability built in ✅ 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 — DWH design, ADF-to-Snowflake pipelines, SQL Server/Oracle cloud migrations ✅ 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 — eliminating manual bottlenecks across business processes and data workflows ✅ 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗱𝗮𝘁𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 — RAG pipelines, Azure OpenAI chatbots, AI agents grounded on your business data ✅ 𝗖𝗹𝗼𝘂𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 — Salesforce, SAP, Oracle, Snowflake, and SaaS APIs connected into Azure ✅ 𝗗𝗮𝘁𝗮 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 — Purview setup, cataloging, lineage, GDPR/HIPAA-aligned pipelines ────────────────────────────── 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀: Finance & Banking | Healthcare | Retail & E-commerce | FinTech | Enterprise SaaS | Others 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: 40+ hrs/week | 0–4 hr response | Open to contract-to-hire ────────────────────────────── 📩 Message me with your Azure data challenge — I respond within 4 hours and will tell you exactly whether and how I can help.

I help companies turn fragmented data into trusted analytics used by leadership and operations. I specialize in building modern data platforms, from ingestion to analytics, using dbt, SQL, cloud data warehouses, and BI tools. My work focuses on clarity, correctness, and business impact, not just pipelines. What I typically help with: Designing scalable analytics engineering layers (dbt, dimensional modeling) Building and optimizing ELT pipelines into Snowflake / BigQuery / Redshift Creating trusted metrics and dashboards for leadership and operations Improving data quality, testing, and CI/CD for analytics Migrating legacy reporting to modern data stacks I work closely with stakeholders to translate business questions into clean data models and actionable insights. If you need analytics that people actually trust and use, let’s talk.

I bring over 15 years of IT industry experience, with proven expertise in automation, web scraping, and application development. 🔹 Core Technical Skills Applications: Web application development Automation & RPA: Automation Anywhere, UiPath, VBA, Power Automate, Power Apps Programming & Data: Python, ASP.NET, C#, MSSQL, SSIS Cloud & Data Engineering (Azure): Data Factory, Databricks, Synapse Analytics, Data Lake, SQL Database, Blob Storage, Functions, Logic Apps, Key Vault, Monitor 🔹 What I Offer Custom Automation: Design and delivery of tailored automation solutions to meet specific client needs. Cloud Data Pipelines: Development of scalable, secure, and cost-effective data pipelines in Azure. End-to-End Solutions: Hands-on expertise in workflow automation, data integration, and analytics. 🔹 Why Work With Me? Transparency: Honest, clear, and consistent communication. Reliability: Proven track record of on-time delivery. Value: High-quality, robust solutions delivered at a reasonable cost.

I am a Data Architect with 5+ years’ experience in data engineering in Healthcare, Retail and Banking domains. Worked on multiple data warehousing and reporting projects with open source tools such as Apache Spark, Apache Airflow, Apache Kafka, Apache Superset. I also have experiance in open building open source data warehouses. I am microsoft certified data engineer and Azure administarator. With 5+ years of expirance in Microsoft azure technologies such as Azure Data Factory, Azure Databricks, MS SQL, Azure Synapse etc. I am Microsoft, Databricks and GCP Certified Data Engineer and am currently working as a Data Architect at FulzTech.

Data Engineering. = ETL/ELT - Microsoft Azure Copilot Studio, Foundry, M365 Agents SDK AI Engineering = Machine Learning, PySpark = API access to LLM / Self Hosted LLM HIPAA Compliance: = Audit to determine PHI locations = Minimizing records with PHI = Audit Gaps in data security = Safeguard implementation = Procedures for Data breaches = Security Audit, Cybersecurity Microsoft Azure and Python Azure Data Warehouse Azure Data Factory Azure functions - Python Azure Data Bricks AWS and Python AWS Elastic Map Reduce (EMR) / Apache Spark, Hadoop (EMR) Serverless python functions : Lambda, Serverless ETL: Glue, Serverless SQL Query Service : Athena, Simple Queue Service / Simple Notification Service (SQS/SNS) Streaming Data : Kinesis Elastic MapReduce EC2 (ubuntu , Windows), Relational Database Service RDS ( Mysql, PostgreSQL) Core Technologies Python3, Pandas, PySpark, PyQt, PyTorch SQL MSSQL, Mysql , PostgreSQL, PrestoDB Django, Flask Git, Docker Extract Transform Load (ETL) ETL / ELT Tools : Talend, dbt, Airbyte, AWS Glue, Fivetrans Front End: Flutter ( with Flutterflow and Dart custom code) Data Visualization : Orange, Chartjs PowerBi, Metabase Data Integrations: Python : Python e-commerce API : Amazon Marketplace MWS API, Amazon seller central API, UPS, USPS, FEDEX API Integrations Python e-commerce : etsy API, ebay API, Shopify API, Aliexpress API, Flipkart API Python : Google Cloud Platform, Google HealthCare API Salesforce : Data Migration & Data Integration Salesforce Apex , Batch Apex, Scheduled Apex & Lightning Web Component Development Salesforce Certifications Held : Salesforce certified Administrator, Salesforce certified Developer , Zoho Creator Zoho API Integrations Domain Expertise: Health Tech Saas : HIPAA, HL7 EMR, EHR, APIs . LegalTech: AI assisted Case Research. Case Document Retrieval, Case Summarization, Case Citation Paralegal

𝐀𝐈-𝐃𝐑𝐈𝐕𝐄𝐍 𝐃𝐀𝐓𝐀 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑 𝐀𝐔𝐓𝐎𝐌𝐀𝐓𝐈𝐎𝐍 𝐀𝐑𝐂𝐇𝐈𝐓𝐄𝐂𝐓 𝐃𝐄𝐂𝐈𝐒𝐈𝐎𝐍 𝐈𝐍𝐓𝐄𝐋𝐋𝐈𝐆𝐄𝐍𝐂𝐄 𝐒𝐏𝐄𝐂𝐈𝐀𝐋𝐈𝐒𝐓 ══════════════════════════════════════════════════════ I design systems where data is not just stored or visualized — it is processed, understood, and acted upon through AI and automation. With 9+ years of experience, I have consistently delivered scalable, high-impact solutions across enterprise and startup ecosystems. ════════════════════════════════════════════════════ 1. CORE CAPABILITIES ───────────────────────────────────────────────────── Data Engineering Design and implementation of ETL/ELT pipelines Batch and real-time data processing architectures AI Systems and LLM Applications Conversational AI, RAG-based systems, intelligent automation Business Intelligence Decision-centric dashboards and analytical reporting Workflow Automation Event-driven systems using APIs, orchestration tools, and integrations Microsoft Power Platform Power Apps, Power Automate, Dynamics 365 enterprise solutions ═════════════════════════════════════════════════ 2. SIGNATURE SOLUTIONS ───────────────────────────────────────────────── 1 Data Engineering Python, SQL, PySpark 2 Business Intelligence Power BI, Tableau, Looker Studio 3 Data Platforms Snowflake, BigQuery 4 Cloud Infrastructure Azure, AWS, Google Cloud Platform 5 Application Layer FastAPI, React 6 AI and LLM Ecosystem LLMs, LangChain, OpenAI, Claude 7 Automation and Orchestration n8n, API integrations, workflow systems 8 DevOps and Deployment Docker, Kubernetes, Airflow, DBT 9 Microsoft Power Platform Power Apps, Power Automate, Dynamics 365, MS Fabric ══════════════════════════════════════════════ 5. FOCUS AREAS ────────────────────────────────────────────────── 1 Data Engineering 2 AI Automation 3 Power Platform Solutions 4 LLM Applications 5 Decision Intelligence 6 Data Migration ════════════════════════════════════════════════════ “Data becomes valuable only when systems are designed to act on it.”