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Are you struggling with unreliable reports, disconnected data sources or time-consuming manual processes? I help organizations build modern, scalable data platforms using Microsoft Azure, Microsoft Fabric, Databricks, SQL Server, ETL data pipelines, Azure Data Factory and Power BI that deliver accurate reporting, automated workflows, and actionable insights allowing teams to spend less time preparing data and more time making informed business decisions. I'm a Data Architect with 10+ years of experience in Data Engineering and Business Intelligence. Previously, I served as Director of Data Analytics & Reporting for a US health insurance company and have delivered enterprise data solutions to support and enhance operations and business processes. Why Clients Hire Me ✅ 10+ years of Data Engineering & BI experience. ✅ Former Director of Data Analytics at a US Healthcare Company. ✅ Top Rated with 100% Job Success Score. ✅ Delivered production Data Platform solutions for a 39-location healthcare network. ✅ Built enterprise data warehouses and analytics platforms supporting thousands of business users My Approach 🔹Discovery & Requirements Gathering 🔹Architecture & Solution Design 🔹ETL & Data Pipeline Development 🔹Data Modeling & Governance 🔹Power BI Reporting & Visualization 🔹Testing, Documentation & Handover Core Services ✔ Azure Data Engineering ✔ Microsoft Fabric Architecture ✔ Databricks Pipelines ✔ ETL Pipelines (ADF, Python, SQL) ✔ Data Warehouse Design ✔ Power BI Development ✔ Fabric Migration Projects ✔ Data Governance & Documentation ✔ Production Support Clients describe me as responsive, clear, and easy to work with, one wrote that I handled "a complex task involving cross-functional collaboration with multiple teams" and "adapted to changes" without dropping quality. Tell me about your current data platform and where your bottlenecks are. I'll provide a practical approach to modernizing your data architecture and analytics environment.

Are your data pipelines breaking, or is your cloud spend spiraling out of control? I specialize in building scalable, automated engines that transform raw data into real-time business intelligence. With over 6,000 hours on Upwork and a 100% Job Success Score, I help enterprises transition from data chaos to a streamlined, modern data stack. My Core Focus: - Microsoft Fabric: End-to-end implementation including OneLake, Data Factory, and Lakehouse/Warehouse. - Databricks: Building robust Medallion architectures using Spark, Delta Lake, and Unity Catalog. - Automated ETL/ELT: Designing resilient pipelines with Airflow, Azure Data Factory, and Python. - Enterprise BI: High-performance Power BI dashboards using Direct Lake and advanced DAX. Why Clients Choose Me: I bridge the gap between technical complexity and business ROI. Whether migrating from legacy SQL servers to the cloud or optimizing a complex Databricks environment, I focus on performance and clarity. Technical Ecosystem: - Languages: Python, SQL, PySpark, DAX - Platforms: Microsoft Fabric, Azure Synapse, Databricks, Snowflake - Tools: Airflow, ADF, Power BI, Tableau, PostgreSQL/MySQL Ready to transform your data infrastructure into a strategic asset? Click the "Message" or "Book Consultation" button, and let’s discuss your architecture.

If your ETL pipelines are failing, reports are delayed, or your data workflows can't keep pace with business growth, Your team is wasting valuable engineering time and making decisions with incomplete data. I help startups, SaaS companies, and enterprise teams build scalable, reliable data pipelines that automate data movement, improve workflow efficiency, and process𝟏𝟎𝐆𝐁+ 𝐨𝐟 𝐝𝐚𝐭𝐚 𝐝𝐚𝐢𝐥𝐲. With 𝟏𝟓+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, I have designed and optimized enterprise applications and data solutions across Finance, Healthcare, Telecom, and SaaS. I specialize in building maintainable ETL pipelines, cloud data architectures, and automated workflows that scale with your business. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 ✔ Design and build scalable Python ETL and ELT pipelines ✔ Develop and manage Apache Airflow workflows ✔ Build batch and real-time data processing solutions ✔ Implement event-driven data streaming using AWS MSK (Kafka) and Debezium ✔ Design and optimize data warehouses using PostgreSQL, Snowflake, BigQuery, and Amazon Redshift ✔ Develop AWS Glue and AWS DMS solutions for data migration and integration ✔ Integrate APIs, databases, cloud platforms, and third-party services ✔ Build resilient web scraping and automated data extraction pipelines ✔ Improve monitoring, logging, data quality, and pipeline reliability ✔ Modernize legacy ETL systems and migrate them to scalable cloud architectures 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 ✔ 15+ years of software engineering experience ✔ Production-ready ETL pipelines processing 𝟏𝟎𝐆𝐁+ 𝐨𝐟 𝐝𝐚𝐭𝐚 𝐝𝐚𝐢𝐥𝐲 ✔ Improved ETL and database performance by 𝐮𝐩 𝐭𝐨 𝟔𝟎% ✔ Experience delivering solutions across Finance, Healthcare, Telecom, SaaS, and Enterprise platforms ✔ Clean, maintainable code with clear documentation and long-term support Great data engineering means building reliable systems your team can trust every day. Whether you are building a new data platform, modernizing legacy ETL workflows, implementing a data warehouse, or integrating multiple data sources, I'll help you deliver a solution that's reliable, scalable, and built for long-term success. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞. 𝐈 𝐰𝐢𝐥𝐥 𝐫𝐞𝐯𝐢𝐞𝐰 𝐲𝐨𝐮𝐫 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐜𝐨𝐬𝐭-𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐛𝐞𝐟𝐨𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐛𝐞𝐠𝐢𝐧𝐬. 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 ✔ 40+ hours/week ✔ Response within 2 hours (Monday–Friday) ✔ Flexible across US, UK, EU, and Australian time zones 𝐏.𝐒. Have a failing Airflow DAG, slow ETL process, or unreliable Python data pipeline? Send me the details, and I'll help identify the root cause and recommend the best solution before you commit to the project.

Top Rated Plus | $150K+ Earned | 12,000+ Hours I help businesses build reliable ETL pipelines, automate manual workflows, and integrate systems using SQL Server, Python, KNIME, n8n, WooCommerce, and Power BI. If you need fast, secure, and scalable data automation, I’m the expert teams rely on. Hi, I’m Majid, a Senior Data Automation & ETL Specialist (Top Rated Plus, $150K+ earned, 12,000+ hours) helping businesses transform fragmented systems into automated, reliable, and scalable data operations. I build production-grade ETL pipelines, automate business workflows, and integrate databases + APIs + web apps using: • SQL Server, Python, KNIME, n8n, Pandas, Power BI • WooCommerce, Selenium, REST APIs, Django • Enterprise-grade workflow orchestration and automation My work helps teams eliminate manual processes, reduce errors, and unlock real-time insights. What I Can Do for You 🔹 ETL Pipelines & Data Engineering I design and build robust pipelines that safely move data between systems: • SQL Server, APIs, CSV/Excel, WooCommerce, and internal databases • Incremental loads, data quality checks, logging, error handling • High-volume + high-reliability workflows for enterprise use • KNIME → Python pipeline conversions 🔹 Workflow Automation & Integrations I automate repetitive processes using Python, Selenium, n8n, and custom scripts: • WooCommerce ↔ SQL Server sync • CRM and e-commerce automations • API-based integrations (Discord, custom apps, 3rd-party services) • Automated data extraction and processing 🔹 Data Insights & Reporting Turn raw data into decision-ready dashboards: • Power BI modeling, DAX optimization, refresh automation • Custom analytical pipelines feeding BI tools • KPI/metric design based on real business goals 🔹 Full Stack Development (Support to Automation) When needed, I build or modify supporting applications: • Django/Flask backend systems • Secure internal tools for data processing • Workflow dashboards and admin controls Why Clients Trust Me ✔ Top Rated Plus: long-term & high-value clients only ✔ $100k+ earned and 12,000+ hours (proof of reliability) ✔ Enterprise experience as DataHub Team Lead at YittBox ✔ Specialized in complex ETL + automation problems ✔ Security-first mindset: every workflow is safe, robust, and maintainable ✔ Clear communication, documentation, and long-term support Recent Wins (Real Examples) • Automated WooCommerce ↔ SQL Server data sync → saved client 12+ hours/week • Rebuilt ETL pipelines for a retail dataset → cut refresh time from 3 hours → 15 minutes • Converted a large KNIME workflow to Python → 40% runtime improvement + lower costs • Automated PDF → data extraction workflow → 99% reduction in manual errors How I Work I offer both hourly and fixed-price project packages, depending on complexity. Typical engagements include: • ETL pipeline development • Workflow automation systems • KNIME → Python migration • WooCommerce/API integrations • Power BI + SQL modeling If you want predictable, transparent, and long-term reliable automation, I can deliver it. Let’s Build Something Reliable Whether you’re looking to automate a business process, centralize your data, or build an end-to-end pipeline, I can help you get there faster and more reliably. Send me a message and let’s discuss your project.

Senior Data Engineer building production ETL/ELT pipelines, cloud data warehouses, and analytics platforms that turn fragmented data into reliable, business-ready insight. Over 1,700 hours on Upwork with a 100% Job Success Score, specializing in Airflow orchestration, dbt transformation, and Snowflake/BigQuery warehousing across AWS, GCP, and Azure. 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 - ETL/ELT pipelines (batch + streaming) - Workflow orchestration with Airflow, Dagster, MWAA, Step Functions - Data ingestion, replication, and CDC with Fivetran, Airbyte, Meltano - Pipeline monitoring, alerting, and cost optimization 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 & 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 - Snowflake, BigQuery, Redshift, Databricks, ClickHouse, Postgres - Star, Snowflake, Kimball, and Data Vault modeling - Schema evolution, partitioning, and clustering - Query performance tuning for BI workloads 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 - AWS (S3, Lambda, Glue, Athena, MWAA, Step Functions) - GCP (BigQuery, Pub/Sub, Cloud Functions, Dataflow) - Azure (Data Factory) - Docker, Kubernetes (EKS/GKE/AKS), Helm 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 & 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 - Apache Kafka, Spark Structured Streaming - Event-driven architectures - CDC pipelines for low-latency analytics 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗕𝗜 - Power BI, Looker, Tableau, Looker Studio - Superset, Metabase, Klipfolio - Semantic layers and self-service KPI dashboards 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗜𝗺𝗽𝗮𝗰𝘁 - Built a real-time FinTech analytics platform (Markets4U) with ClickHouse and Power BI for sub-second dashboard latency - Designed a smart real estate analytics stack (ECAP) using Airflow, dbt, and Snowflake for automated property reporting - Unified Salesforce and operational data (ASR) into a centralized customer analytics layer with Power BI - Modernized a legacy Excel reporting workflow into a full Airbyte → dbt → BigQuery → Looker Studio pipeline 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗸𝗲𝗲𝗽 𝗵𝗶𝗿𝗶𝗻𝗴 𝗺𝗲 - 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽: architecture → development → deployment → documentation - 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀-𝗳𝗶𝗿𝘀𝘁: data shaped to support decisions, not just processed - 𝗖𝗹𝗲𝗮𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: frequent updates, no surprises, proactive escalation - 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲: modular, testable, scalable pipelines built to grow with your product Send me a message about your data challenge, I'll review it and recommend the cleanest path forward.

I help businesses build reliable data pipelines, cloud infrastructure, and backend systems that scale. My core work includes Azure Data Factory pipelines, SQL data warehousing, Snowflakes, Terraform-based infrastructure, AWS/Azure deployments, and backend integrations for data-heavy applications. I focus on production-ready systems that are stable, observable, and built for real business use. I have worked on projects such as: • Building Azure-based ETL pipelines and warehouse processes integrating platforms like Shopify, NetSuite, UKG, Air1, and custom systems • Processing large daily data volumes with incremental and full-sync strategies • Designing SQL procedures, reconciliation workflows, and reporting pipelines for operational and executive dashboards • Automating cloud infrastructure and deployments using Terraform, AWS, Jenkins, Docker, and Kubernetes • Improving performance, reliability, and cost-efficiency in backend and AI-driven systems What I can help with: • ETL / ELT pipelines • Azure Data Factory workflows • Azure SQL / PostgreSQL / SQL optimization • Data warehouse design • Backend API integrations • Terraform infrastructure automation • AWS / Azure deployment workflows • Monitoring, logging, and production reliability improvements Why clients work with me: • I understand both data and backend systems, so I can solve integration problems end-to-end • I care about business outcomes, not just writing code • I communicate clearly and keep delivery practical • I build with maintainability and production use in mind If you need help with a data pipeline, warehouse workflow, backend integration, or cloud infrastructure setup, I’d be glad to discuss your project. Certifications: AWS Certified Solutions Architect HashiCorp Terraform Associate