Data Engineer | Analytics Engineer | SQL | ETL | dbt | Power BI | Python Most businesses don't have a data problem—they have a trust problem. Slow reports, inconsistent KPIs, unreliable dashboards, and manual processes make it difficult to make confident business decisions. I help startups and growing businesses build scalable data pipelines, analytics-ready data models, and interactive dashboards that turn raw data into reliable, actionable insights. What I Can Help You With; Data Engineering ETL/ELT Pipeline Development API Integration Data Warehousing SQL Development & Optimization Data Pipeline Automation Analytics Engineering dbt Data Modeling Star & Snowflake Schema Design Data Quality Testing Analytics-Ready Datasets Data Analytics & Business Intelligence Power BI Dashboards KPI & Executive Reporting Product, Sales & Marketing Analytics Data Visualization Tech Stack SQL • Python • dbt • Power BI • Snowflake • BigQuery • PostgreSQL • MySQL • SQL Server • ETL/ELT • APIs • Git • Excel Why Work With Me? ✔ Build a single source of truth for your data ✔ Automate reporting and reduce manual work ✔ Optimize SQL and data pipelines for performance ✔ Deliver dashboards your team can trust ✔ Turn complex data into clear business insights If you're looking for a Data expert who delivers scalable, business-focused solutions—not just dashboards—I'd be happy to help.

I build production-grade data platforms, AI systems, and automation workflows, not experiments or disconnected scripts. Companies work with me to turn raw business data into reliable pipelines, intelligent AI workflows, and automated operations that run consistently in production. If your organization struggles with fragmented data systems, manual reporting, unstable pipelines, or disconnected tools, I design architectures that are scalable, observable, and built for long-term reliability. Who This Is For This profile is a strong fit if you: • Need scalable data pipelines and modern data platforms • Want to implement AI systems powered by business data • Are building analytics, automation, or AI copilots for internal teams • Care about data quality, reliability, and system scalability • Want architectures your engineering team can maintain long-term Not a fit if: • You want a quick prototype without production use • You only need simple scripts or small data fixes What I Build Data Engineering Platforms • End-to-end data pipelines and ETL/ELT workflows • Cloud data warehouse and lakehouse architectures • Scalable data processing with Spark / PySpark • Data modeling for analytics and reporting • Reliable ingestion pipelines from APIs, databases, and SaaS tools AI & LLM Systems • AI workflows powered by OpenAI, Claude, and modern LLMs • Retrieval-Augmented Generation (RAG) systems • Knowledge assistants built on enterprise data • Embeddings and vector database pipelines • AI copilots for internal tools and business operations Automation & Integrations • CRM automation and lead management workflows • Business process automation across SaaS platforms • API integrations and webhook-based systems • Workflow orchestration using modern automation tools Analytics & Reporting • Data warehouse optimization for analytics • Business intelligence pipelines • Executive dashboards and reporting systems Technologies I Work With Data Engineering Python • SQL • PySpark • Apache Spark • dbt Cloud Platforms Azure • AWS • Snowflake • Microsoft Fabric Data Tools Databricks • Azure Data Factory • Airflow AI & LLM Systems OpenAI • Claude • RAG pipelines • embeddings • vector databases Automation & Integrations n8n • Zapier • Make • APIs • Webhooks Analytics Power BI How I Work • Understand business goals and current system limitations • Design clear data and AI architecture • Build scalable pipelines and automation workflows • Implement monitoring, testing, and optimization • Deliver well-documented systems your team can maintain Results I Deliver • Modern cloud data platforms replacing legacy systems • Reliable pipelines that process large-scale data efficiently • AI systems that interact with real business data • Automated workflows that eliminate manual processes • Data-driven systems that support analytics and decision-making

🌟 Top 1% Expert-Vetted Freelancer 🌟 A true technology generalist with a background in engineering, education, and machine learning. Whether you need help building data/LLM pipelines, strategizing and architecting applications, or removing bottlenecks within your business, I'm here to help! 🎯 I have experience building solutions across multiple industries: - Legal Tech - Admin Automation - Health + Medicine (US Markets) - Ecommerce - Education Technology - AgTech - Manufacturing - AdTech - MarOps - CRM + Sales 🔭 I'm passionate about: - Building human-centered AI-augmented solutions 🧠 - Testing business hypotheses and strategizing production roadmaps 🧪 - Developing adaptable, future-proof infrastructure 🌉 - White-boarding 🗺️ - Bridging the gap between technical and non-technical stakeholders 🤝 - Supporting technical talent acquisition initiatives 🌟 Things I've been working on: - Massive data scrapers, data orchestration hubs, and org data dashboards that allowed teams to enrich multi-terrabyte datasets with external data sources, allow sales teams to close 37% extra sales every month. - Agentic systems and other LLM-powered applications responsible for monitoring document ingestion, creation, and editing to manage website-hosted content, reducing time requirements for existing maintenance by staff by over 50% - Deploying and maintaining self-hosted infrastructure for companies via open-source alternatives to popular SAAS web apps, saving an average of 19000 USD per year. - Client-facing reporting automation software that reduced report generation lead-times from 2-4 weeks to same day via automated data processing that reduced manual data processing time by 95%. - Cross-platform automations via code and Zapier to eliminate manual data duplication across disparate web applications via background data synchronization - Mobile/Web Apps with greater than 2,000 Monthly Active Users 🔬 My skillsets/tech stacks: Programming Languages & Core Technologies Python (Advanced - Data Engineering, ML, Automation) SQL (Advanced - Data Analysis, Database Management) PySpark (Big Data Processing) JavaScript/TypeScript (Frontend Development) Node.js (Backend Development) AI & Machine Learning LangChain (LLM Applications) OpenAI API (GPT Integration) Claude API (Anthropic AI) AWS Bedrock (Enterprise AI) Prompt Engineering (Advanced) Model Fine-tuning (Custom AI Solutions) Natural Language Processing (NLP) Computer Vision (CV Applications) Cloud Platforms & Infrastructure AWS (Lambda, S3, Glue, Step Functions, CloudFormation) Google Cloud Platform (GCP - Vertex AI, ML Deployment) Microsoft Azure (Data Factory, Functions, App Services, SQL) Docker (Containerization) Terraform (Infrastructure as Code) Kubernetes (Container Orchestration) Data Engineering & Analytics Apache Spark (Big Data Processing) Apache Airflow (Workflow Orchestration) Prefect (Data Pipeline Automation) DBT (Data Transformation) LookML (Looker Modeling) Data Warehousing: Snowflake, BigQuery, RedShift ETL/ELT Pipelines (Scalable Data Processing) DevOps & CI/CD GitHub/GitLab (Version Control) CircleCI (Continuous Integration) Nginx (Web Server Configuration) Azure DevOps (CI/CD Pipelines) Infrastructure Automation (95%+ error reduction) Web Technologies & APIs FastAPI (High-performance APIs) React (Frontend Development) API Integration (RESTful Services) Web Scraping (Scrapy, Selenium, BeautifulSoup) OAuth2 Implementation (Secure Authentication) Data Visualization & BI Power BI (Business Intelligence) Tableau (Advanced Analytics) Custom Dashboards (Data-driven Decision Making) Databases & Storage MongoDB (NoSQL) Azure SQL Database (Relational) Azure Data Lake Gen2 (Big Data Storage) S3 (Object Storage) Specialized Skills Chatbot Development (80% support ticket reduction) Healthcare Data Analytics (Claims Processing) Multi-tenant Architecture (Scalable SaaS Solutions) Real-time Data Processing (Event-driven Architecture) Web Automation (Selenium, Custom Scripts) Hardware Prototyping (Arduino, Raspberry Pi) 📞 Ready to discuss your project? Book a consultation with me today! 📅

Welcome to My Profile! Are you seeking a seasoned Data Engineer with a proven track record of delivering exceptional results? Look no further! With over 9 years of hands-on experience in Data Engineering and Data Warehousing, I bring a wealth of expertise to the table. Who Am I? I'm Waleed Malik, a dedicated and results-driven professional specializing in ETL & Data Warehouse Development, Data Engineering, and Data Analytics. Throughout my career, I've had the privilege of working with multinational organizations, managing vast amounts of data on a daily basis, and spearheading complex projects from conception to completion. What Sets Me Apart? My passion for data and relentless pursuit of excellence set me apart in the field. I thrive on challenges and am committed to delivering top-notch solutions tailored to meet your specific needs. Whether you're looking to build robust data pipelines, implement self-service BI solutions, or design bespoke data warehouses, I've got you covered. Why Should You Hire Me? Proven Expertise: With a solid background in SQL, AWS, Python, and other cutting-edge technologies, I have the skills and know-how to tackle even the most demanding projects. Reliability: I pride myself on my professionalism, integrity, and commitment to excellence. You can trust me to deliver high-quality work on time, every time. Clear Communication: Effective communication is key to any successful project. I provide regular updates, solicit feedback, and ensure that we're always on the same page. Customer Satisfaction: Your satisfaction is my ultimate goal. I go above and beyond to ensure that you're happy with the end result, offering a 100% money-back guarantee if you're not completely satisfied. Long-Term Support: I believe in building lasting relationships with my clients. Even after the project is completed, I'm here to provide ongoing support and assistance as needed. Let's Work Together! Whether you're embarking on a big project or need assistance with smaller tasks, I'm here to help. From data modeling and analysis to cloud server management and everything in between, I've got the skills and expertise to bring your vision to life. Let's collaborate to turn your data into actionable insights and drive your business forward. Get in touch today, and let's make great things happen together!

12+ years of corporate experience and a passion for supporting and delivering Data Analytics and Business Intelligence solutions using Tableau, MicroStrategy, and Salesforce Tableau CRM. I have delivered complex reporting solutions in the areas of Finance, Quality, and Operations and have analyzed data for the following domains: Healthcare, Telecommunications, and Banking. Certified Tableau Desktop Specialist and Salesforce Developer

I build AI systems that answer from a company's own documents — and say "I don't know" instead of making things up. My own product proves it. Irshad AI Employee is a SaaS I built and run alone: a business uploads its documents, and an AI employee answers its customers on WhatsApp, a website widget, and a web portal. Every answer cites the exact document and page it came from. It reads 3,400+ documents today, including a full Pakistani law library of statutes and High Court judgments, and it refuses to answer when the documents don't hold the answer. That refusal is the feature — it's what makes AI safe enough for law firms and clinics to trust. For clients I do the same work: RAG pipelines, OpenAI integration, chatbots, multi-tenant SaaS with usage metering, plus the React/TypeScript front ends and Python back ends around them (Django, FastAPI, PostgreSQL with pgvector, BigQuery, Google Cloud, AWS). Before AI, I spent years in data engineering — Snowflake, DBT, Airflow, Power BI, including EMAAR in Dubai. RAG is a data pipeline with a model at the end, and that background is why mine hold up in production. 18 years in software. Message me and I'll send a link where you can try the product yourself — it answers better than any profile can. See "Irshad AI Employee — IrshadOS" in my portfolio below for screenshots, a demo video, and the live link.

"The most impressive work I've ever seen anybody do." That's what a client said after 10 days. I build AI systems that get that reaction. Send me an invitation or message and I'll reply with a personalized roadmap showing exactly how I'd architect a solution for your specific problem. I build AI automation systems using Claude, n8n, OpenClaw, GoHighLevel (GHL), Make, Zapier, and Python. Whether it's an AI agent that triages your inbox, a GTM + GA4 conversion tracking architecture that catches every lead, or a content pipeline that generates posts while you sleep, I build the workflow, test it end to end, and hand you the keys. What I've built recently: • Deployed OpenClaw AI agents on VPS for ecommerce, real estate, and agency clients. • Architected GTM + GA4 + Meta CAPI tracking for Google Ads. Cut CPA from $9 to $0.63 • Built automated data pipelines for 11,000+ client environments at Bench Accounting ($89M revenue fintech). • Scaled my own brand to 350,000+ followers in 7 months using n8n + Python content automation. • Launched 2 AI SaaS products to 500+ paid users. • Created AI image and video pipelines using Nano Banana, Kling, HeyGen, and Veo for ecommerce brands. - Built automated data pipelines at a $55M fintech (Deloitte Fast 500 #17 in North America) processing 11,000+ client environments. Previously: analytics for Whirlpool and Toyota at an agency later acquired by a $2.9B global ad group. Industries I work in: Ecommerce, SaaS, Real Estate, Healthcare, Agencies, Startups. Why clients choose me: • I own the outcome. I work for free until you're 100% satisfied. • Enterprise rigor. I've built pipelines for brands like Whirlpool. I understand data integrity and security. • AI-native speed. Using Cursor, Claude Code, and modern tooling, I ship faster than traditional dev teams. • 100% Job Success on Upwork. 0-4 hour response time. Top Rated. Tools: Claude API, OpenClaw, n8n, GoHighLevel, Make, Zapier, Python, Google Tag Manager, GA4, Meta CAPI, Google Ads, SEO, AEO, Instantly, Apollo, Clay, HubSpot, Supabase, Next.js, FastAPI Send me a message or book a consultation if you're serious about automating your operations. less

I’m a senior data engineer who turns fragmented data into analytics-ready assets that drive growth, personalization, and smarter decisions. With 13+ years across APAC and EMEA, I build modern data platforms on GCP and AWS and deliver dependable pipelines end to end—from ingestion to modeling to activation. I specialize in Python, Airflow, dbt, BigQuery, PostgreSQL, and Cube.js, and I’m deeply experienced across media/subscription, supply chain, and advertising/marketing. What I do - Any-source data ingestion: I design resilient, scalable ingestion from product analytics, CRM, payments, ads, third-party APIs, files, webhooks, streams, and databases—standardized with data contracts, quality checks, lineage, and monitoring. - Customer 360 and identity stitching: Unify behavioral, transactional, and marketing data into reliable customer profiles used for retention, upsell, and LTV modeling. - Modern data stack on GCP/AWS: Airflow on GKE/EKS, dbt transformations, BigQuery/Redshift/Postgres, streaming when needed; CI/CD, testing, and observability by default. - Self-service analytics: Semantic layers and lightweight internal tools so business teams explore metrics without waiting on engineering. Top achievements - Customer 360 + journey analytics: Built a 360 data mart and journey visualization that enabled CRM to reduce churn, improve retention, and increase campaign conversions. - $70K/year SaaS cost saved: Replaced a product analytics tool by rebuilding cohorting and activation in-house; designed a UI and Airflow-based flows to sync cohorts to Facebook Ads, push, and email via Cube.js and the semantic layer. - 40% faster time-to-insight: Redesigned the warehouse on BigQuery with dbt and Cube.js, standardizing 12+ core metrics; launched governance with 100+ tests and CI/CD validating 90% of models pre-deploy, slashing data downtime. Technologies - Cloud: GCP (BigQuery, GKE), AWS (EKS, S3, Redshift, Athena, Kinesis/KDA) - Data engineering: Python, Airflow, dbt, SQL, Great Expectations, Docker, Spark - Warehousing/DBs: BigQuery, PostgreSQL, Redshift - Semantic/self-service: Cube.js, Looker Studio, Tableau - Apps/APIs: Flask, React, GraphQL Industry expertise - Media/subscription: editorial and content analytics, funnels, engagement scoring, real-time personalization; trained entire newsrooms and 14+ teams on self-serve. - Supply chain: knowledge graphs, supplier data integration, and analytics for capacity, inventory, and forecasting. - Advertising/marketing: attribution, cohort targeting, activation pipelines to paid and owned channels. How I work - Outcomes first: Start from the decisions you need, then build the leanest reliable system to support them. - Reliability by design: CI/CD, tests, lineage, alerts, and SLAs from day one for trustworthy data. - Self-serve within guardrails: Semantic layers and simple tools that reduce tickets and increase adoption. - Pragmatic modernization: Incremental improvements that deliver early wins while controlling cost and risk. Example engagements - Stand up or modernize your data platform on GCP/AWS with Airflow, dbt, BigQuery/Redshift, and robust CI/CD and testing. - Build a Customer 360 and semantic layer (Cube.js) to standardize metrics and power lifecycle campaigns across CRM and ads. - Replace/augment costly SaaS analytics by bringing ingestion, modeling, and activation in-house for better control, quality, and ROI. - Implement near real-time data paths for personalization, scoring, or operational reporting. - Design a data quality framework with automated tests, alerts, lineage, and monitoring. If you need a hands-on data engineer who can ingest data from any source, unify it into trustworthy models, and enable fast, self-serve insight—let’s connect. I can deliver short sprints, architecture audits, or act as a fractional data platform lead to accelerate your roadmap with clear, measurable outcomes.

I am a Senior Data Engineer with 10+ years of experience designing and implementing large-scale data pipelines, cloud data warehouses, and streaming solutions. I hold a proven track record of delivering high-performance, reliable, and cost-optimized data platforms for enterprises across multiple industries. 💡 Core Expertise: - Data Warehousing: Snowflake, Amazon Redshift - ETL / ELT: dbt, Python, Airflow, AWS Glue, Fivetran - Streaming & Messaging: Apache Kafka, Kinesis - Cloud Platforms: AWS (S3, Lambda, EC2, EMR, RDS, IAM, CloudFormation) - Databases & Querying: SQL, PostgreSQL, DynamoDB, MySQL - Big Data Tools: Spark, Hadoop (where relevant) ✅ What I Deliver: - Scalable data pipelines (batch & real-time) - Optimized Snowflake & Redshift architectures - ETL/ELT frameworks ensuring data quality & governance - AWS-based cloud data solutions with cost optimization - Kafka streaming integrations for real-time analytics ⭐ Why Hire Me? - 10+ years in data engineering & cloud ecosystems - 5-star reviews from clients on Upwork & Fiverr - Strong problem-solving, communication, and end-to-end delivery focus - Experience working with startups to Fortune 500 enterprises

With an MS in Data Science and 7+ years of industry experience, I architect end-to-end data solutions that bridge the gap between theoretical innovation and practical business impact. Core Competencies 🎯 Data Science Leadership 📊 Orchestrate sophisticated data pipelines from extraction to deployment, leveraging advanced statistical methods and machine learning algorithms Drive business decisions through predictive modeling and deep learning implementations using PyTorch, TensorFlow, and scikit-learn Pioneer automated A/B testing frameworks that accelerate decision-making cycles Analytics & Visualization 📈 Craft compelling data narratives through interactive dashboards using Power BI, Tableau, and custom Python visualizations Design real-time monitoring solutions with Google Data Studio and Klipfolio Implement advanced time series forecasting using LSTM, GRU, and ARIMA models Technical Arsenal ⚡ Cloud & Infrastructure ☁️ Azure: Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure Stream Analytics, Azure Functions, Azure DevOps, Azure Cosmos DB AWS: Amazon EMR, AWS Glue, Amazon Redshift, Amazon S3, Amazon Athena, AWS Lambda, Amazon QuickSight, Amazon SageMaker, DynamoDB GCP: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Dataproc, Cloud Functions Data Processing & Storage 🔄 Big Data: Apache Spark, Hadoop, Hive, Delta Lake, Databricks Databases: PostgreSQL, MongoDB, Cassandra, Redis, Snowflake Stream Processing: Apache Kafka, Apache Flink, Apache NiFi Data Quality: Great Expectations, dbt, Apache Griffin Machine Learning & AI 🤖 Frameworks: PyTorch, TensorFlow, scikit-learn, Keras, XGBoost, LightGBM MLOps: MLflow, Kubeflow, DVC, Weights & Biases Experimentation: A/B Testing, Multi-armed Bandits AutoML: H2O.ai, AutoKeras, TPOT Development & DevOps 🛠️ Containerization: Docker, Kubernetes CI/CD: Jenkins, GitHub Actions, GitLab CI IaC: Terraform, Ansible, CloudFormation Monitoring: Prometheus, Grafana, ELK Stack Analytics & BI 📊 Visualization: Power BI, Tableau, Looker, QuickSight, Qlik Sense Python: Pandas, NumPy, Matplotlib, Seaborn, Plotly SQL: Advanced SQL, Window Functions, Performance Tuning Notebooks: Jupyter, Databricks Notebooks, Google Colab Signature Achievements 🏆 Reduced data processing time by 60% through optimized ETL pipelines and distributed computing Implemented ML models achieving 85%+ accuracy in predictive maintenance Architected scalable data warehouses handling 10TB+ of structured and unstructured data 📫 Open to collaborations and innovative data projects 🌟 Azure Certified: DP-203 Data Engineer Associate 🏅 Azure Certified: DP-900 Azure Data Fundamentals #DataScience #MachineLearning #Azure #AWS #Python #DeepLearning #ETL #DataEngineering #BigData #AI #DataVisualization #NLP #TimeSeries #CloudComputing #DataArchitecture #DataAnalytics #BusinessIntelligence #PredictiveAnalytics #DataPipelines #DataModeling #Databricks #Snowflake #MLOps #DevOps #Kubernetes #Terraform #ApacheSpark #DataLake #DataWarehouse #StreamProcessing