Hire the Best ETL Developers
in Pakistan

Looking for an Azure Data Engineer to build scalable ETL pipelines, modernize your Azure SQL database, or implement Microsoft Fabric / Databricks analytics? With over 6,000+ hours logged, $200K+ earned, and a 100% Job Success Rate, I help businesses transform messy raw data into reliable cloud data platforms and automated Power BI dashboards. Whether you need an end-to-end cloud migration, delta lake architecture, or query performance tuning, I deliver clean, production-ready solutions designed for long-term growth. Core Services & Capabilities: ✔ Microsoft Fabric & Azure Data Factory: Automated ETL/ELT pipeline design & ingestion ✔ Data Warehousing & Architecture: Azure SQL, Synapse Analytics, Medallion Architecture (Delta Lake) ✔ Advanced Analytics & Python: Data transformation, PySpark, API integrations, web scraping ✔ Business Intelligence: Executive Power BI dashboards, DirectQuery optimization, Looker Studio ✔ Database Migration & Optimization: Legacy SQL Server to Azure, PostgreSQL, T-SQL performance tuning Technologies I Work With Daily: • Cloud & Big Data: Azure Data Factory (ADF), Microsoft Fabric, Databricks, Azure Synapse, Delta Lake • Databases: Azure SQL, MS SQL Server, PostgreSQL, AWS BigQuery • Languages & Automation: Python, PySpark, T-SQL, PL/pgSQL • Analytics & BI: Power BI, Looker Studio, SSIS - fawn mast wolf Let’s turn your complex data challenges into an automated, high-performance solution. Send me an invite or message, and let's discuss your project goals!

I help businesses transform raw, unstructured data into reliable, actionable insights by building scalable, automated, and optimized data solutions. With expertise in Python, SQL, and ETL workflows, I specialize in: ETL/ELT Pipeline Development – Designing and optimizing efficient pipelines using tools such as Airflow, AWS Glue, and Spark. Data Analysis & Reporting – Delivering clean, structured datasets ready for BI dashboards like Power BI or Tableau. Database Management – Writing complex SQL queries, improving performance, and handling large-scale datasets. Data Cleaning & Transformation – Removing duplicates, resolving inconsistencies, and ensuring high-quality datasets. Cloud Data Engineering – Developing modern data solutions on AWS, GCP, or Azure. Why work with me: Strong problem-solving approach focused on accuracy, efficiency, and scalability. Proven experience adapting data workflows across multiple industries. Commitment to delivering results that save time, reduce costs, and support better decision-making. Whether you need a one-time data cleaning task, a complete end-to-end ETL pipeline, or ongoing data engineering support, I can help streamline your data workflows and unlock valuable insights. Let’s connect to discuss how I can contribute to your project.

🚀 Data Engineer & BI Developer | Microsoft Power BI & Fabric Certified Expert | Data Scraping & Web Automation Specialist | 6+ Years Experience 💡 Looking to turn raw, messy, or manual data into automated pipelines and powerful dashboards that drive real business decisions? I specialize in Data Engineering, Microsoft Fabric, Power BI, and Python-based Web Scraping & Automation, helping companies: ✔️ Design and deliver high-impact Power BI dashboards & reports for executive decision-making ✔️ Build scalable ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory & Azure Databricks ✔️ Automate manual data collection through Python web scraping & automation (Selenium, BeautifulSoup, APIs) ✔️ Migrate legacy BI platforms (Tableau, QlikView) to modern Power BI & Qlik Sense environments ✔️ Eliminate manual reporting delays with real-time, automated data pipelines 🏆 Microsoft Certified — 4x Expert: ✅ Power BI Data Analyst Associate (PL-300) ✅ Fabric Analytics Engineer Associate ✅ Fabric Data Engineer Associate ✅ Qlik Data Analytics Certification 📊 Why Work With Me? ✅ 6+ years of experience as a Data Engineer & BI Developer across banking, retail, pharma, manufacturing & energy ✅ Delivered 400+ dashboards and 200+ reports for global and enterprise clients ✅ Built 60+ ETL pipelines automating data workflows for international clients ✅ Created 100+ data scraping solutions and 50+ web automation systems using Python ✅ Migrated 30+ dashboards from Tableau to Power BI and 50+ from QlikView to Qlik Sense ✅ 100+ projects delivered on Freelancing Platform with 5-star ratings and 98% client retention ✅ Recently worked with: Harley-Davidson, HBL, Western Union, Pakistan State Oil (PSO), Engro Energy, Searle Pharmaceuticals, and IBEX Global 🔥 Recent Success Stories: ✔️ Cut ETL/dashboard refresh times from 4–5 hours to 15 minutes by redesigning enterprise data pipelines at Pakistan State Oil ✔️ Eliminated 2–3 days of manual reporting delays at IBL Group by deploying automated real-time pipelines with Qlik Replicate ✔️ Boosted transaction success rates by 15% and transaction values by 20% through pipeline and analytics optimization at HBL ✔️ Migrated 30+ enterprise dashboards from Tableau to Power BI, earning a Western Union excellence award Let's talk about how I can build your data infrastructure, automate your workflows, and turn your data into your most powerful business asset! 🚀 My skills: Data Engineering, Microsoft Fabric (Lakehouse, Data Factory, Dataflows Gen2), Power BI (Dashboards, Reports, DAX, Power Query), Azure Data Factory, Azure Databricks, PySpark, Apache Spark, Python, SQL, Web Scraping (Selenium, BeautifulSoup), Web Automation, API Integration, ETL/ELT Pipeline Design, Data Modeling (Star & Snowflake Schema), Data Warehousing, Apache Airflow, Qlik Sense, Qlik Replicate, BigQuery, Snowflake, Data Validation, Workflow Automation

Slow pipelines, unreliable data, or a warehouse that breaks every time the source changes? I build data systems that don't. I'm a 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗙𝗮𝗯𝗿𝗶𝗰 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 with 5 years of experience delivering end-to-end data engineering and BI solutions. I currently work at Pakistan's largest payment gateway, a high volume fintech environment where 𝗧𝗕-𝘀𝗰𝗮𝗹𝗲 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗮𝘁𝗮, strict governance, and zero tolerance for pipeline failures are the daily reality. My specialty is building systems that are 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗲𝗱 𝗽𝗿𝗼𝗽𝗲𝗿𝗹𝘆 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝘀𝘁𝗮𝗿𝘁 metadata-driven, layered, monitored, and built to scale. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 ✦ 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗘𝗧𝗟/𝗘𝗟𝗧 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 Control logic lives in configuration, not hardcoded. One framework handles dozens of sources with built-in logging, error handling, and restartability. Proven: reduced ETL runtime by 𝟯𝟴% on a production enterprise warehouse by eliminating redundant mapping layers. ✦ 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲 𝗗𝗲𝘀𝗶𝗴𝗻 End-to-end warehouse design across 𝗦𝘁𝗮𝗴𝗶𝗻𝗴 → 𝗖𝗼𝗿𝗲 → 𝗚𝗼𝗹𝗱 (Medallion Architecture), with star/snowflake schema modeling, incremental loading, duplicate handling, and structured audit logging baked in. ✦ 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 Lakehouse and Warehouse design on OneLake, Fabric Data Factory pipelines, semantic models with 𝗥𝗼𝘄-𝗟𝗲𝘃𝗲𝗹 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 (𝗥𝗟𝗦), and report publishing as Fabric Apps for internal teams and external stakeholders. ✦ 𝗔𝘇𝘂𝗿𝗲 & 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 ADF orchestrated cloud pipelines and PySpark based distributed data processing on Databricks for large-scale, partitioned datasets. ✦ 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 & 𝗦𝗦𝗥𝗦 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 Semantic model design, DAX measures, drill-through dashboards, RLS enforcement, SSRS and Report Builder reports, and Fabric App deployment for enterprise stakeholders. ✦ 𝗟𝗲𝗴𝗮𝗰𝘆 𝗠𝗜𝗦 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Migrated 20+ reports from legacy systems into a centralized, modern BI architecture without disrupting ongoing operations. 𝗥𝗘𝗖𝗘𝗡𝗧 𝗥𝗘𝗦𝗨𝗟𝗧𝗦 • Reduced ETL runtime by 𝟯𝟴% (4 hrs → 2.5 hrs) by optimizing metadata-driven SSIS pipelines • Built automated SFTP ingestion pipelines with archive logic to ensure 𝗶𝗻𝗰𝗿𝗲𝗺𝗲𝗻𝘁𝗮𝗹, 𝗱𝘂𝗽𝗹𝗶𝗰𝗮𝘁𝗲-𝗳𝗿𝗲𝗲 data loading • Delivered 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 supporting different business products across fintech, billing, and payments • Published 𝟭𝟱+ 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗿𝗲𝗽𝗼𝗿𝘁𝘀 as Fabric Apps with Row Level Security for external stakeholders • Onboarded 10+ new source tables into a redesigned data warehouse while improving ETL performance and storage efficiency • Worked extensively with 𝗧𝗕-𝘀𝗰𝗮𝗹𝗲 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗮𝘁𝗮 in a high-volume payment processing environment. 𝗖𝗢𝗥𝗘 𝗦𝗧𝗔𝗖𝗞 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 | 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗙𝗮𝗰𝘁𝗼𝗿𝘆 | 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 | 𝗣𝘆𝗦𝗽𝗮𝗿𝗸 | 𝗔𝗽𝗮𝗰𝗵𝗲 𝗦𝗽𝗮𝗿𝗸 | 𝗦𝗦𝗜𝗦 | 𝗦𝗤𝗟 𝗦𝗲𝗿𝘃𝗲𝗿 | 𝗢𝗿𝗮𝗰𝗹𝗲 | 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 | 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 | 𝗦𝗦𝗥𝗦 | 𝗧-𝗦𝗤𝗟 | 𝗣𝗟/𝗦𝗤𝗟 | 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 | 𝗠𝗲𝗱𝗮𝗹𝗹𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 | 𝗦𝘁𝗮𝗿 𝗦𝗰𝗵𝗲𝗺𝗮 | 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗦𝗰𝗵𝗲𝗺𝗮 | 𝗘𝗧𝗟/𝗘𝗟𝗧 | 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲 𝗕𝗘𝗦𝗧-𝗙𝗜𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 • Data warehouse or lakehouse design from scratch • ETL/ELT pipeline build, optimization, or troubleshooting • Microsoft Fabric or Azure migration from legacy on-prem systems • Power BI, SSRS, or Fabric App reporting solutions • SQL performance tuning, stored procedures, and indexing • Production pipeline monitoring, job scheduling, and failure resolution 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 I understand your business process, data sources, and reporting needs first. Then I design a practical architecture, build clean and observable pipelines, validate the data, and deliver reporting ready models your team can actually trust with 𝗹𝗼𝗴𝗴𝗶𝗻𝗴, 𝗲𝗿𝗿𝗼𝗿 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴, and 𝗷𝗼𝗯 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗶𝗻𝗴 built in from day one, not added as an afterthought. 📩 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗱𝗲𝘁𝗮𝗶𝗹𝘀. 𝗜 𝗿𝗲𝘀𝗽𝗼𝗻𝗱 𝗾𝘂𝗶𝗰𝗸𝗹𝘆 𝗮𝗻𝗱 𝘄𝗶𝗹𝗹 𝗼𝘂𝘁𝗹𝗶𝗻𝗲 𝗮 𝗰𝗹𝗲𝗮𝗿 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁.

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.

Data Engineer with 8+ years of experience designing scalable ETL pipelines, cloud data warehouses, and BI solutions using Power BI, Looker, Looker Studio and Tableau that turn raw data into reliable, decision-ready insights. I help businesses automate reporting, reduce manual work, and build high-performance analytics on GCP, Azure, and AWS. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: • Expertise in building efficient ETL processes with Apache Airflow, Cloud Composer, and Dataform. • Skilled in GCP, Azure, and AWS, with expertise in key services like BigQuery, Cloud Functions, Synapse, and Redshift for optimized data warehousing • Proficient in data modeling and data transformation with DBT for clean, organized datasets. • Experienced with Docker for containerization and Google Cloud Run for scalable deployments. • Skilled in real-time data processing using Google Pub/Sub and data management with Data Lake. 𝐀𝐏𝐈 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: • Data extraction using Screaming Frog and DataforSEO. • CRM and marketing data integration with APIs like Apollo, HubSpot, and Facebook. • Search analytics expertise with GA4, Google Search Console, and SerpAPI. • Comprehensive API management for seamless, cross-platform data connectivity. 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: • Skilled in Power BI, Looker, and Tableau for creating clear, insightful dashboards. • Proficient in Python for data analysis, statistical modeling, and visualization. • Advanced SQL skills for efficient data querying and manipulation. • Experienced in data preparation and transformation, ensuring high-quality analytics. My strong communication and collaboration skills ensure smooth teamwork and project management. Flexible with working hours, I adapt to meet specific client needs and timelines.