Hire the Best DataGravity Specialists
in Pakistan

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.

Most businesses don't have a single stack. Their data lives across Microsoft, AWS, and dozens of SaaS tools. I build the systems that bring it all together. DATA PLATFORMS & ANALYTICS ✦ Snowflake + dbt platforms with tested marts, versioned models, and source freshness monitoring at every layer ✦ AWS-native ingestion using S3, Snowpipe, and IAM storage integrations built for security and scale ✦ Microsoft Fabric data platforms designed around governance, reliability, and long-term maintainability ✦ Azure-to-Fabric migrations with Medallion Architecture implemented end to end ✦ OneLake-connected Power BI reporting that delivers trusted metrics and fast decision-making ✦ SaaS data consolidation across HubSpot, Stripe, Zendesk, Mixpanel, and other business systems AI & KNOWLEDGE SYSTEMS ✦ Production RAG pipelines with structure-aware chunking, versioned embeddings, and retrieval optimization ✦ pgvector and HNSW indexing for scalable semantic search ✦ Citation enforcement, audit logging, and source traceability built into every response ✦ AI systems designed for reliability, transparency, and operational use—not demos INTEGRATIONS & AUTOMATION ✦ Microsoft Graph, SharePoint, Teams, and Power Platform integrations when data workflows extend beyond analytics ✦ Automated data movement, validation, monitoring, and exception handling across cloud platforms RECENT OUTCOMES ✦ Delivered a Snowflake + dbt platform on AWS with 60+ tested models and sub-two-minute ingestion latency ✦ Unified HubSpot, Stripe, Zendesk, and operational data into a single reporting layer, eliminating weekly spreadsheet reconciliation ✦ Rebuilt a production RAG platform with citation enforcement and relevance controls, eliminating out-of-corpus responses in testing ✦ Reduced pipeline runtime by 30% during an Azure-to-Fabric Medallion Architecture migration completed within 8 weeks I work with 1–2 clients at a time because data platforms require ownership, not ticket-taking. Send me your current stack, architecture, or reporting challenges and I'll tell you honestly whether I'm the right fit.

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 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 companies build reliable, scalable data pipelines that turn raw data into actionable insights. I’ve worked with enterprise clients like Comcast (USA) , SKY (UK), O2 (UK), Telefónica (Spain) and other global organizations delivering ETL pipelines, analytics, and BI dashboards using Airflow, PostgreSQL, Python, and cloud platforms. How Can I Help You Are you looking to: ✅ Build scalable end-to-end data pipelines? ✅ Turn raw data into actionable insights? ✅ Create interactive dashboards and compelling visualizations? ✅ Optimize your ETL workflows for better performance? You've come to the right place. I specialize in Data Engineering, Data Analysis, Business Intelligence, and Data Visualization, delivering high-impact data solutions for international clients across diverse industries. 🛠️ Technical Expertise 🔸 Data Engineering ETL/ELT pipeline development & optimization Tools: Apache Airflow, Talend, Mage.ai, Airbyte, Databricks, Kafka, Debezium Languages: Python 🔸 Data Analytics & Modeling Statistical analysis, predictive modeling, and data profiling Tools: Python, R 🔸 Data Visualization Interactive dashboards using Power BI, Tableau, Looker Studio 🔸 Data Warehousing & Cloud Platforms Platforms: AWS, Azure, GCP, Snowflake 🔸 Business Intelligence BI architecture & modeling Report automation and performance monitoring dashboards 🔸 SQL & Database Management Strong command of SQL (T-SQL, MySQL, PostgreSQL, SQL Server) Stored procedures, ad-hoc queries, CTEs Database design, performance tuning, migration & administration 🔸 Big Data Management & Infrastructure Large-scale data system design 🔸 Data infrastructure development 🔸 Quality assurance and reliability engineering ✅ Why Work With Me? Full-Stack Data Expertise: From raw data ingestion to interactive dashboards, I cover the complete data lifecycle Proven Experience: Successfully delivered large-scale data solutions for international clients Detail-Oriented & Reliable: Committed to delivering scalable, clean, and well-documented solutions Timezone Flexibility: Comfortable working in your preferred timezone Strong Communication: Clear updates and proactive problem-solving Let’s work together to build data systems that drive decisions, not confusion. 📩 Feel free to reach out — I’m happy to discuss your data needs!

Messy data slowing your team down? I build scalable ETL/ELT pipelines and modern cloud architectures on Azure, Databricks, Fabric, and Snowflake that turn raw, chaotic data into clean, analytics-ready systems fast and reliably. I bridge the gap between fragmented data sources and production-grade dashboards, seamlessly adapting to your existing infrastructure rather than forcing an expensive rebuild. What I Can Help You With: Data Warehouse & Lakehouse Architecture: Implementing Medallion design patterns (Bronze → Silver → Gold) using Delta Lake, Microsoft Fabric OneLake, and Snowflake. Scalable ETL/ELT Ingestion: Building automated, metadata-driven pipelines via Azure Data Factory, Fabric Pipelines, Databricks (PySpark/SQL), and dbt. Real-Time Data Streaming: Architecting low-latency workflows using Apache Kafka, Azure Event Hubs, and streaming engines. Database Design & Optimization: Performance tuning, indexing, and data modeling for PostgreSQL, Azure SQL, and cloud warehouses. Proven Project Highlights: Microsoft Fabric Incremental Pipeline: Built a control-table pattern using Get Metadata, Lookup, and ForEach loops to orchestrate zero-duplicate, quarterly ingestion from SharePoint into OneLake via Dataflow Gen2. Azure/Databricks Streaming: Developed a restaurant analytics platform processing 80,000+ events/day, cutting reporting lag from 6 hours to under 3 minutes. Kafka/Snowflake Pipeline: Engineered a real-time stock market data pipeline tracking 120+ tickers with under 8 seconds end-to-end latency. I write clean, documented code your team can maintain long-term and provide transparent daily updates. Message me with your data challenge and I’ll walk you through exactly how to solve it.

Hello! I am a azure certified and highly skilled data engineer with over 5 of experience in designing, building, and maintaining large-scale data pipelines and analytics platforms. As a data engineer, I have a proven track record of delivering robust and scalable data solutions that meet business requirements and enable data-driven decision-making. I am experienced in data modeling, ETL/ELT development, data warehousing, data integration, data quality management, and performance optimization. My technical skills include - Python - Azure - SQL - Databricks - Apache Spark - Azure Data Factory - SASS Databases - Fabrics I am also familiar with data visualization and dashboarding tools, such as - Power Bi - Tableau - Looker Studio - Matplotlib - Seaborn - Plotly If you are looking for a data engineer who can design, develop, and deploy data solutions that drive business value, I would be happy to discuss your project requirements in detail. Let's connect and see how we can work together to achieve your data goals!