Hire the Best Data Engineers
in Pakistan

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.

I am a tech-agnostic data engineer who enjoys solving complex data problems, finding patterns in messy datasets, and making sure the work actually supports the business. My focus is always on clean architecture, performance, and making data useful - not just moving it around.Here is what I have worked with: - Programming & Scripting: Python (Flask, FastAPI, Django, Selenium, PySpark), SQL - Data Engineering & Integration: Talend, Mage.ai, Apache Airflow, Airbyte, Databricks, Kafka, Debezium - Databases & Data Warehousing: Data Modeling, PostgreSQL, MySQL, Snowflake, Greenplum, MongoDB, Firebase, ClickHouse - Cloud & DevOps: AWS (Lambda, API Gateway, S3, RDS, SQS and more), Docker, Kubernetes, Azure DevOps, Terraform, CloudFormation - Security & Compliance: Secure and compliant pipeline design (HIPAA, GDPR, SOC 2), data governance, privacy-first architectures - Testing & Automation: Postman, Cypress.io, Swagger, Automated Data Workflows - Data Visualization: Power BI, Metabase, Google Data Studio, Grafana - Collaboration & Leadership: Cross-functional team mentoring, process optimization, data-driven decision-making

I Engineer self-healing, AI augmented data automation systems that eliminate manual workflows and scale seamlessly. By combining advanced Python backend architectures (FastAPI, Django) with Azure AI and OpenAI, I build intelligent pipelines that don't just move data they autonomously extract, classify, validate, and enrich it. One system. Runs infinitely. Zero manual intervention. PROVEN IMPACT & CASE STUDIES Enterprise Document Automation: Engineered an automated tax-compliance pipeline leveraging Azure AI Document Intelligence and Python, completely replacing 100% of manual tax form processing with a single-click AI verification system. Mission-Critical Architectures: Designed and deployed a secure, end-to-end digital examination and data management platform for NASTP (National Aerospace Science & Technology Park), eliminating intensive manual administrative workflows. E-Commerce Data Warehouse & Custom API Pipeline: Architected a robust, scalable multi-source data extraction pipeline utilizing advanced ETL methodologies to ingest, clean, and sync high-volume market data into performance-optimized databases. CORE SPECIALTIES & HOW I DELIVER VALUE AI-Augmented ETL/ELT Pipelines Building resilient ingestion frameworks that use LLMs (OpenAI GPT-4o, Azure OpenAI) to process unstructured documents, PDFs, and raw text. Python structures the incoming data, Pydantic v2 strictly validates it, and PostgreSQL stores it securely. Custom API Architectures & Data Warehousing Developing high-performance, asynchronous REST APIs using FastAPI and Django. I integrate complex third-party webhooks, handle rate-limiting seamlessly, and model scalable relational databases backed by SQLAlchemy, Alembic migrations, and advanced SQL (CTEs, Window Functions). Serverless Cloud Deployment Deploying production-grade pipelines onto AWS (S3, Lambda, RDS) and Azure Blob Storage. Your systems run on fully automated schedules in the cloud without requiring manual infrastructure management. Enterprise BI & Analytics Dashboards Transforming raw, automated data warehouses into interactive, executive-level insights using Microsoft Power BI and custom Streamlit web applications. TECH STACK AI & Intelligence: OpenAI API · Azure AI Document Intelligence · Prompt Engineering Backend & APIs: Python · FastAPI · Django · Uvicorn · REST APIs · Pydantic v2 · Docker Data Automation & ETL: Pandas · NumPy · Custom Ingestion Pipelines · SQL Databases & ORM: PostgreSQL · SQLite · SQLAlchemy · Alembic · Snowflake Cloud Infrastructure: AWS (S3, Lambda, RDS) · Azure Cloud Storage BI & Analytics: Microsoft Power BI · Streamlit. Need data automated, AI-enhanced, or securely piped? Click "Invite to Job" to schedule a technical discovery call. I respond to all inquiries within 4 hours.

If your data pipelines are slow, breaking, or producing dashboards your team doesn’t trust — I fix that. Most data engineers can build a pipeline. Fewer make sure it is fast, reliable, well-modeled, and feeding dashboards your business can actually use for decisions. I’m a Microsoft Certified Fabric Data Engineer specializing in Microsoft Fabric, Azure data pipelines, Lakehouse/Warehouse architecture, Databricks, Snowflake, and Power BI semantic models. I help teams build the full data layer: from raw source systems and APIs, to clean Bronze/Silver/Gold pipelines, to properly modeled warehouses, to Power BI dashboards that perform at scale. Recent results: * Reduced a daily pipeline runtime from 8 hours to 30 minutes * Eliminated around 95% of manual data errors by automating third-party API integrations * Saved a data team 20+ hours per week through automated monitoring and reporting * Reduced manual data preparation time by 60% with end-to-end Azure pipelines * Built Power BI dashboards for retail, sales, and supply chain clients, with 5-star client feedback What I can help with: * Microsoft Fabric pipelines, Lakehouse, Warehouse, and medallion architecture * Azure Data Factory, Databricks, Azure SQL, and Data Lake pipelines * PySpark and Spark SQL for large-scale data processing * Power BI semantic models, DAX optimization, and executive dashboards * Data modeling, star schemas, fact/dimension design, and ERDs * SQL optimization, data quality checks, and pipeline monitoring * Snowflake and dbt for modern cloud warehouse solutions How I work: * Clear communication and regular project updates * Loom walkthroughs for architecture, logic, and deliverables * Clean, documented, production-ready code your team can maintain * Strong focus on reliability, data quality, and long-term maintainability * Available for async collaboration across US, UK, and EU time zones If you need reliable pipelines, clean data models, and dashboards your team can trust, send me a message.

I help companies build scalable data platforms that transform fragmented data into actionable insights. With 8+ years of experience in Data Engineering and Analytics, I specialize in designing modern data architectures, building reliable ETL/ELT pipelines, and developing AI-powered data solutions. My expertise includes: ✔ Data Warehousing: BigQuery, Snowflake, Redshift, PostgreSQL ✔ ETL/ELT Pipelines: Airbyte, Fivetran, Airflow, dbt, Python ✔ Cloud Platforms: Google Cloud Platform (GCP), AWS, Azure ✔ Data Modeling & BI: Looker, Power BI, Tableau, Qlik ✔ API & Connector Development: Shopify, Meta Ads, Google Ads, QuickBooks, Amazon SP-API, Sage, HubSpot ✔ AI & Automation: LLM integrations, RAG pipelines, data enrichment agents Recent achievements: • Built a multi-tenant retail analytics platform processing millions of records daily across multiple clients. • Developed custom connectors and automated ingestion pipelines reducing manual reporting effort by 90%. • Delivered marketing analytics solutions integrating data from 20+ advertising and eCommerce platforms. • Designed AI-driven enrichment systems that convert unstructured information into decision-ready datasets. I focus on building production-grade solutions that are scalable, cost-efficient, and easy to maintain. If you need help with data engineering, cloud migration, analytics infrastructure, or AI-enabled data platforms, let's discuss your project.

Thank you for visiting my profile!🙏 Most businesses already have the data they need, they just don't have it organized in a way that helps them make decisions. I help businesses build automated reporting systems and interactive dashboards using Power BI, Looker Studio, SQL, Python, and API integrations. My goal is simple: eliminate manual reporting, improve data accuracy, and give your team clear insights they can rely on every day. Whether you're a SaaS company, marketing agency, or eCommerce business, I can help turn scattered data into dashboards that are easy to understand and built for real business decisions. 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿: • Power BI Dashboard Development • Looker Studio & Tableau Dashboards • Executive KPI Dashboards • Marketing & Sales Analytics • SaaS Metrics (MRR, ARR, CAC, LTV & Churn) • Shopify & eCommerce Reporting • Financial Reporting & Forecasting • SQL Reporting & Data Analysis • ETL & Data Transformation • API Integrations & Automated Reporting • Excel & Google Sheets Automation 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: Power BI • DAX • Power Query • SQL • Python (Pandas) • Looker Studio • Tableau • PostgreSQL • MySQL • BigQuery • REST APIs • Google Analytics • Meta Ads • HubSpot • Salesforce 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: • Built automated reporting dashboards that reduced manual reporting time by up to 80%. • Developed executive KPI dashboards by combining sales, marketing, and operational data into a single reporting system. • Created reporting solutions for agencies managing high volumes of client accounts with consistent, reliable reporting. • Connected multiple data sources through APIs to automate reporting and improve data accuracy. I focus on building reporting systems that are: ✔ Easy to use ✔ Accurate and reliable ✔ Automated wherever possible ✔ Scalable as your business grows If you're looking for a Business Intelligence or Power BI developer who understands both the technical side of reporting and the business decisions behind the numbers, I'd be happy to help. Send me a message or Invite, and I'll review your reporting process and recommend the best solution 𝗙𝗥𝗘𝗘 𝗼𝗳 𝗖𝗼𝘀𝘁 for your business.