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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'm a Senior Data Engineer with 4.5+ years of experience building scalable, cloud-native data platforms that turn raw data into reliable, business-ready insights. I've delivered enterprise solutions across banking (NAB), healthcare (Molina), and CPG (PepsiCo), specializing in end-to-end pipeline architecture, data modeling, and cloud migrations. What I bring to your project: 🔹 Cloud Data Engineering – Deep expertise in Azure (Databricks, Data Factory, Synapse) and AWS (EMR, Glue, S3, RedShift), with hands-on migration experience from on-prem and Teradata to cloud. 🔹 Pipeline Architecture & ETL – I design and build robust ingestion frameworks handling batch, incremental, and real-time data (Event Hub, Kafka) across formats like JSON, CSV, Parquet, and fixed-width files. 🔹 Data Modeling & Warehousing – Skilled in dimensional modeling, Data Vault, star/snowflake schemas, and silver/gold layer design. I've modeled 50+ tables across Oracle Fusion, SAP S/4, and healthcare domains. 🔹 Transformation & Orchestration – I translate complex business rules into DBT models, orchestrate workflows with Apache Airflow or AutoSys, and automate CI/CD via Jenkins and Azure DevOps. 🔹 Performance & Governance – I tune PostgreSQL and Spark jobs, implement data quality checks, reconciliation frameworks, and ensure compliance with data governance standards. 🔹 Generative AI & MLOps – Databricks-certified in Generative AI, with experience integrating MLflow for experiment tracking and building LLM-based automation using OpenAI and LangChain. Tech Stack: Python | SQL | Scala | Apache Spark | DBT | PostgreSQL | Snowflake | Airflow | Databricks | Azure | AWS | Git | Jenkins | MLflow | Power BI Certifications: Databricks Certified Data Engineer Professional | Azure Data Engineer (DP-203) | Snowflake SnowPro Core | Fabric Analytics Engineer (DP-600) | Generative AI Engineer Associate Whether you need a production-grade pipeline, a cloud migration, or a well-modeled data warehouse, I deliver clean, documented, and scalable solutions — on time and with clear communication. Let's discuss your project!

Hello, I'm Vairag Borad, a Microsoft Certified: Fabric Data Engineer and Microsoft Certified Power BI professional with over 6+ years of experience designing modern analytics platforms, data engineering solutions, and business intelligence applications. I specialize in building end-to-end Microsoft Fabric solutions that enable organizations to transform raw data into trusted, scalable, and actionable insights. Whether you need to build a Fabric Lakehouse, implement Medallion Architecture, develop high-performance Spark notebooks, create Power BI semantic models, or migrate existing data platforms to Microsoft Fabric, I'm here to help. 🔹 My Expertise Microsoft Fabric Lakehouse & Medallion Architecture: Design and implement Bronze, Silver, and Gold layers using Delta Lake, ensuring scalable, maintainable, and high-quality data pipelines. Data Engineering & Spark Notebooks: Develop efficient PySpark notebooks for data ingestion, transformation, cleansing, validation, CDC implementation, incremental loading, and optimization. Data Factory Pipelines: Build automated data pipelines for orchestration, scheduling, monitoring, parameterization, and error handling. Data Warehouse: Design dimensional models, implement fact and dimension tables, optimize SQL workloads, and support enterprise reporting. OneLake Integration: Build centralized enterprise data platforms using OneLake for unified data storage and governance. Performance Optimization: Optimize Spark jobs, partitioning strategies, Delta tables, caching, broadcast joins, and pipeline execution for large-scale datasets. Monitoring & Data Quality: Implement logging, auditing, exception handling, and data quality validation throughout the data engineering lifecycle. Power BI Power Query & M: Extract, transform, and prepare data from multiple enterprise data sources. Data Modeling & DAX: Build optimized semantic models, create complex DAX measures, and develop interactive dashboards. Row-Level Security (RLS): Implement secure access controls for enterprise reporting. Power BI Service: Publish, manage, and optimize reports, workspaces, refresh schedules, and deployment pipelines. SQL & Python Advanced SQL: Develop optimized SQL queries, stored procedures, views, and performance tuning for analytics workloads. PySpark & Python: Build scalable data engineering solutions for ETL, automation, data validation, and advanced transformations. 🔹 Why Choose Me? Microsoft Fabric Specialist: Experienced in building modern analytics platforms using Microsoft Fabric's Data Engineering, Lakehouse, Warehouse, Data Factory, and Power BI capabilities. End-to-End Data Engineering: From data ingestion and transformation to semantic modeling and reporting, I deliver complete analytics solutions. Performance-Focused: I build scalable, efficient, and maintainable solutions that handle enterprise-scale data. Business-Oriented: I focus on delivering trusted data products that support informed business decisions. Clear Communication & Reliable Delivery: I provide transparent communication, regular progress updates, and high-quality deliverables on schedule. I'm excited to help organizations modernize their data platform with Microsoft Fabric and unlock the full value of their data. Let's connect to discuss your project and how I can help deliver a scalable, enterprise-grade analytics solution. Best regards, Vairag Borad

Most businesses are drowning in data but starving for insights - pipelines that break, dashboards nobody trusts, reports built manually in Excel. I fix that. 5+ years building enterprise data platforms: 800M+ records processed daily 70% pipeline runtime reduction via dbt 50+ Power BI dashboards delivered 98% data trust through quality frameworks Stack: Snowflake, Databricks, dbt, Airflow, PySpark, Microsoft Fabric, ADF, AWS, Azure, Power BI, Python Beyond the warehouse layer, I've also built production backend systems integrating third-party APIs — WhatsApp Cloud API, Supabase, webhook orchestration — deployed on cloud infrastructure. Available 8 AM - 2 PM IST. Open to short and long term projects. Let's talk.

Helping companies build scalable, reliable, and cost-efficient data platforms. I'm a Principal Data Engineer with 11+ years of experience designing and implementing modern data engineering solutions for startups, fintech companies, healthcare organizations, and enterprise businesses. I've helped organizations migrate legacy systems, build cloud-native data platforms, optimize processing costs, and deliver production-ready analytics pipelines. My expertise includes designing end-to-end data architectures, building batch and streaming pipelines, implementing Data Lakes and Lakehouses, and automating infrastructure using Infrastructure as Code. What I can help you with ✔ Databricks Development & Optimization ✔ Apache Spark (PySpark & Scala) ✔ Azure Data Factory (ADF) ✔ Azure Data Lake Storage (ADLS) ✔ Delta Lake & Delta Live Tables ✔ AWS (EMR, Glue, Athena, Lambda, S3) ✔ Data Warehouse Design ✔ ETL / ELT Pipelines ✔ Data Migration ✔ Data Modeling ✔ Terraform & Infrastructure Automation ✔ SQL Performance Optimization ✔ Python Development ✔ CI/CD for Data Platforms ✔ Airflow Workflow Automation ✔ AI-powered Workflow Automation (Cursor, Claude, MCP, n8n) Recent accomplishments • Reduced operational costs by 90% by redesigning SCD implementation using Delta Live Tables. • Led the architecture and delivery of financial products including Loans and Credit Cards. • Migrated enterprise data warehouses to cloud-native lakehouse architecture. • Built scalable reconciliation frameworks using Databricks and Airflow. • Implemented Terraform-managed Databricks infrastructure for improved governance and scalability. • Designed enterprise-grade data platforms for healthcare, fintech, and retail organizations. My Skills Sets are: SQL, Apache Spark, Hive, Hadoop, Excel, Shell Scripting, AWS EMR, Ec2, S3, cloud formation, Clojure, MongoDB MySQL, Airflow.

📊 Data drives every successful business decision. I help organizations design, build, and optimize modern data platforms that transform raw data into reliable business intelligence. 🚀 Whether you need to build a cloud-native data platform, migrate legacy systems, automate ETL pipelines, or deliver executive dashboards, I provide scalable, production-ready solutions that generate measurable business value. ⭐ With 5+ years of experience and a strong track record, I have partnered with startups, SMBs, and enterprise organizations to deliver high-quality data engineering and analytics solutions. 🔧 Core Expertise: ✅ Microsoft Fabric (OneLake, Data Factory, Lakehouse, Warehouse, Notebooks) ✅ Azure Data Engineering, Azure Databricks, Apache Spark, and Delta Lake ✅ Azure Data Factory (ADF) and Azure Synapse Analytics ✅ ETL and ELT Pipeline Development ✅ Data Warehousing and Data Modeling ✅ Data Integration and Data Migration ✅ Power BI Dashboards, Semantic Models, and DAX ✅ Python, SQL, PySpark, and Data Processing 💡 Services: ✅ Design and implement end-to-end data engineering solutions ✅ Build scalable ETL and ELT pipelines ✅ Develop enterprise data warehouses and Lakehouse architectures ✅ Integrate APIs, ERP, CRM, SQL databases, and cloud platforms ✅ Migrate legacy data platforms to Microsoft Fabric, Azure, and Databricks ✅ Implement data quality, validation, governance, and monitoring ✅ Create interactive Power BI dashboards and executive reports ✅ Optimize data platforms for performance, scalability, and cost efficiency 🛠️ Technologies: Microsoft Fabric, Microsoft Azure, Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Snowflake, BigQuery 💻 Programming: Python, SQL, PySpark, DAX 🗄️ Databases: SQL Server, PostgreSQL, MySQL 📈 Analytics: Power BI, Tableau, Looker Studio 🤝 Why Clients Choose Me: ✅ Strong focus on scalable, maintainable, and production-ready data solutions ✅ Extensive experience modernizing legacy data platforms ✅ Expertise across Data Engineering, Business Intelligence, and Cloud Analytics ✅ Clear communication and collaborative project delivery ✅ Proven track record of delivering high-quality solutions on time 📩 If you are looking for an experienced Azure Data Engineer, Microsoft Fabric Consultant, Databricks Engineer, Power BI Developer, or Data Engineering Specialist, I would be pleased to discuss your project.