Hire the Best Data Engineers in Lahore, PK

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

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.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 𝘀𝗶𝗻𝗰𝗲 2021. 181 projects done, 8,000+ hours logged, 100% Job Success across all of them. I mostly do *Real Estate Researcher* property management, lead generation, and Data Entry VA. To give you a feel for the actual work: I've built B2B lead lists for real estate, EdTech, healthcare, agencies, and non-profits; researched and reached out to TikTok and Instagram influencers for brand campaigns; compiled speaker and attendee lists for industry conferences (lots of EdTech work specifically); cleaned up CRM records and built databases from scratch; and handled day-to-day VA work like inbox management, scheduling, follow-ups, and document prep. What I'm strongest at is 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵, 𝗱𝗮𝘁𝗮 𝘄𝗼𝗿𝗸, 𝗹𝗲𝗮𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗮𝗱𝗺𝗶𝗻 𝘀𝘂𝗽𝗽𝗼𝗿𝘁. That's where 8,000+ hours of practice show up. I'll happily take on other VA-style tasks too, but if you need graphic design, paid ads, or coding, I'm probably not the best fit. The clearest signal I can give about how I work is 𝗿𝗲𝗽𝗲𝗮𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀. A few clients have come back to me for 9, 7, and 3 separate projects. That tends to say more than anything I could write here. 𝗧𝗼𝗼𝗹𝘀 𝗜 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗿𝗲𝗴𝘂𝗹𝗮𝗿𝗹𝘆: - 𝗟𝗲𝗮𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: LinkedIn Sales Navigator, Apollo, Hunter, Snov, RocketReach - 𝗖𝗥𝗠𝘀: HubSpot, Pipedrive, Zoho CRM - 𝗦𝗽𝗿𝗲𝗮𝗱𝘀𝗵𝗲𝗲𝘁𝘀 & 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: Excel, Google Sheets, Airtable - 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 & 𝗣𝗠: Asana, ClickUp, Trello, Notion, Monday - 𝗚𝗼𝗼𝗴𝗹𝗲 & 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗦𝘂𝗶𝘁𝗲𝘀: Google Workspace, Microsoft 365 - 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Slack, Zoom, Microsoft Teams, Calendly, Loom - 𝗘𝗺𝗮𝗶𝗹 & 𝗢𝘂𝘁𝗿𝗲𝗮𝗰𝗵: Gmail, Outlook, Mailchimp, Instantly - 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀: ChatGPT, Claude, Grammarly - 𝗢𝘁𝗵𝗲𝗿: Canva, Dropbox, DocuSign New tools don't slow me down, I pick them up fast. I'm based in 𝗟𝗮𝗵𝗼𝗿𝗲 and can overlap with 𝗨𝗦, 𝗨𝗞, 𝗼𝗿 𝗘𝗨 𝗵𝗼𝘂𝗿𝘀 when projects need it. Open to one-off tasks, short sprints, or longer ongoing work. 𝗦𝗲𝗻𝗱 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗮𝗻𝗱 𝘄𝗲 𝗰𝗮𝗻 𝘁𝗮𝗹𝗸 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲 𝗶𝗻 𝗺𝗶𝗻𝗱.

I am a highly skilled Data Engineer and Data Analysis & Visualization Expert with 12+ years of experience designing, developing, and optimizing data-centric solutions, dashboards, and automated workflows. My core expertise lies in building robust data pipelines, automating data processes, and transforming raw data into actionable insights through intuitive visualizations. I’ve developed and deployed interactive dashboards using tools like Google Data Studio, Oracle APEX, Mode Analytics, Klipfolio, and Chartio—integrating data from diverse sources such as Google BigQuery, PostgreSQL, SQL Server, MySQL, and MongoDB. In parallel, I’ve built scalable data pipelines, RESTful APIs, and end-to-end automation systems using Python (Flask, FastAPI), enabling real-time data processing and analytics. Key Expertise: ✔ Data Engineering & Automation (ETL/ELT, Airflow, Python, Pandas, NumPy) ✔ Data Analysis & Visualization (Google Data Studio, Power BI, Tableau, Oracle APEX) ✔ Web Scraping & Workflow Automation (Python, BeautifulSoup, Selenium, Scrapy) ✔ Database Development & Optimization (SQL, PL/SQL, MySQL, PostgreSQL, BigQuery) ✔ API Development & Integration (Flask, FastAPI, RESTful Services) ✔ Cloud & Infrastructure (Google Cloud Platform, AWS, Linux Server Administration) ✔ Scalable System Design & Performance Optimization With a strong foundation in data architecture and automation, I focus on delivering solutions that are scalable, maintainable, and aligned with business objectives. Let’s connect to explore how I can help streamline your data operations and empower data-driven decision-making. 🚀

I'm a results-driven Senior Data Engineer specializing in building cloud-native data pipelines and architectures that transform raw data into actionable business insights. With 100% job satisfaction and a 5-star rating, I deliver solutions that exceed expectations. What I Bring: Cloud Expertise: Azure, GCP, and AWS with deep experience in Databricks, BigQuery, and Data Factory Real-Time Processing: Built streaming pipelines reducing reporting latency from hours to minutes Enterprise Scale: Consolidated 50+ data sources, processed 100M+ daily transactions, and supported 1000+ users Architecture Design: Expert in Lakehouse, Medallion, and Star Schema implementations with strong data governance Proven Results: Reduced reporting latency by 98% through real-time pipeline optimization Improved query performance by 40% with strategic data modeling Achieved 35% increase in compliance reporting accuracy Delivered zero-downtime deployments with automated CI/CD I partner closely with stakeholders to understand business needs and deliver data solutions that drive decision-making. Whether it's building real-time analytics platforms, implementing data governance, or optimizing existing pipelines, I focus on scalable, maintainable solutions. Let's discuss how I can help transform your data into a strategic asset.

I design and implement scalable systems across operations, data, and automation to eliminate manual work and improve reliability across business processes. Most growing teams face the same core issues: fragmented tools, inconsistent data, and workflows that break under scale. I solve this by building structured systems where processes, data, and automation are properly connected, standardized, and governed. ⚙️ Operations & Workflow Systems I design operational systems with clear logic, ownership, and execution layers using tools like Notion, ClickUp. This includes: Process standardization and SOP design Workflow architecture (states, triggers, dependencies) Task and project management systems Cross-team coordination frameworks Bottleneck identification and performance optimization The goal is to create predictable, scalable operations where teams execute efficiently without constant manual oversight. 🔄 Automation, API Layer & System Integration I build automation systems that connect tools and execute business logic end-to-end using platforms like n8n, Zapier, Make (Integromat), and custom API integrations. This includes: API integrations and API-layer implementations (centralized abstraction layer) Webhook-based and event-driven architectures Multi-system data synchronization Scheduled workflows, batching, and orchestration Error handling, retries, logging, and monitoring Idempotent workflows and safe update logic I’ve implemented API-layer architectures that unify systems like CRMs, databases, and front-end tools into a single, structured interface making systems easier to scale, maintain, and extend. 🧠 Data Engineering & Data Flow Design I design and manage data pipelines to ensure clean, structured, and reliable data using tools like SQL, BigQuery, Snowflake, Excel (advanced), Google Sheets, and Power BI. This includes: Data modeling and schema design ETL / ELT pipeline development Data cleaning, normalization, and enrichment Building reporting-ready datasets Data consistency across distributed systems Dashboarding and analytics (Power BI, Looker Studio) The focus is on making data usable, accurate, and decision-ready. 📊 CRM & Lifecycle Systems I build and optimize CRM systems using platforms like GoHighLevel (GHL), HubSpot, Salesforce, and Zoho CRM. This includes: Pipeline and lifecycle architecture Lead capture, routing, and qualification logic Automated follow-ups, sequences, and notifications Task and activity automation Data validation, deduplication, and hygiene CRM integration with automation and reporting systems The result is a fully automated customer lifecycle system from lead to conversion and retention. 🤖 AI in Automation Systems I integrate AI into workflows where it provides real operational value using tools like OpenAI APIs, GPT-based systems, and AI integrations enter automation platforms. Typical implementations: Data enrichment and structuring Classification, tagging, and filtering LLM-based extraction and formatting Intelligent decision-support inside workflows AI is implemented as part of systems not as a gimmick to reduce manual work and improve accuracy at scale. ⚙️ Approach Analyze current systems, workflows, and data flow Identify inefficiencies, edge cases, and failure points Design system architecture and automation logic Build, test, and deploy with reliability in mind Deliver documentation and ensure long-term maintainability I focus on building systems that are technically sound, operationally practical, and scalable. If you need someone who understands APIs, data pipelines, automation systems, CRMs, and operations and can bring them together into one reliable system, I can help.