Hire the Best Apache AIrflow Developers

Data Engineer specializing in Python ETL pipelines for cloud data warehouses. I build automated data engineering solutions processing millions of records daily. From real-time trading data to healthcare analytics 6+ years building production ETL systems on GCP and AWS using Apache Airflow, Dagster, and modern data stacks. I architect data engineering solutions that handle schema changes, ensure data quality, scale with demand, and prevent 3 AM pipeline emergencies. DATA ENGINEERING & ETL EXPERTISE ETL Pipeline Development & Data Engineering I design scalable ETL pipelines and data engineering infrastructure using Python with Apache Airflow or Dagster. My data engineering solutions include automated error handling, data validation, and comprehensive monitoring. Cloud Data Engineering (GCP & AWS) I build cloud-native data engineering solutions and ETL pipelines on modern platforms: • GCP: BigQuery, Dataflow, Cloud Functions, Pub/Sub • AWS: Redshift, Glue, Lambda, S3, Kinesis Enterprise data warehouse migration: Reduced ETL processing time 60% moving to GCP. Python Data Engineering & Pipeline Orchestration Python expert for data engineering and ETL development. I implement robust data workflow orchestration using Apache Airflow and Dagster with pipeline monitoring for data quality and reliability. KEY DATA ENGINEERING & ETL PROJECTS Election Data Pipeline - Python + Dagster data engineering solution extracting campaign finance data. Automated 40 hours/week of manual processing. Real-Time Trading Pipeline - Multi-layer data engineering architecture for algorithmic trading. Achieved <100ms latency, 100% uptime for streaming data. Healthcare Data Migration - Led enterprise ETL migration to GCP BigQuery. Result: 60% faster processing, 50% better performance. ML Feature Engineering - Built end-to-end data pipeline for AirAsia's recommendation system. Processed millions of records, increased engagement 25%. Web Scraping ETL - Automated data engineering solution combining scraping with warehousing using Python and Apache Airflow. DATA ENGINEERING TECH STACK ETL & Orchestration: Apache Airflow, Dagster, Apache Spark, Kafka, dbt Languages: Python (Expert), SQL (Expert) Cloud Platforms: GCP (BigQuery, Dataflow), AWS (Redshift, Glue, Lambda) Databases: PostgreSQL, MongoDB, BigQuery, Redshift, Snowflake Python Libraries: Pandas, PySpark, SQLAlchemy, Apache Beam Infrastructure: Terraform, Docker, Kubernetes, CI/CD. IDEAL PROJECTS • ETL pipeline development from scratch (Python, Airflow, cloud platforms) • Data warehouse engineering and cloud migration (BigQuery, Redshift, Snowflake) • Real-time data engineering and streaming ETL implementation • Legacy ETL modernization and data pipeline migration • Web scraping data engineering with ETL workflows • Data integration connecting multiple sources • ML data pipeline engineering for feature engineering LET'S BUILD YOUR DATA ENGINEERING SOLUTION Available for fixed-price data engineering projects and long-term ETL contracts. I work across US, European, and Asian time zones (GMT+7). Ready to discuss your data engineering and ETL needs? Send me a message. I respond within 2 hours during business hours.

🎖️ 10+ Years Experience | 30+ Projects — All 5-star Rated 🏆 | Expert-Vetted | 100% Job Success I help companies ship reliable, scalable software and data solutions—from greenfield products to modernizing existing systems. I’ve spent over a decade building full-stack applications, data pipelines, and AI integrations for teams that need both solid engineering and clear communication. What I bring to your project I focus on delivery: clear scope, on-time execution, and code that’s maintainable and scalable. My work spans frontend (React, TypeScript, Angular), backend (Java/Spring Boot, Python/Django/Flask, Node.js), and cloud (AWS, GCP, Azure). I’ve designed and built microservices, real-time analytics, and ETL pipelines that handle high volume with Spark, Kafka, and Airflow, and I integrate LLMs and RAG (LangChain, LlamaIndex, vector DBs) when the product needs AI. Why clients keep coming back I’ve delivered 30+ projects with a 100% job success rate and top ratings. Clients get a single point of contact who can own the full stack—UI, API, data, and deployment—so you spend less time coordinating and more time shipping. Enterprise and regulated environments I’ve worked with Fortune 500 and regulated industries (e.g. Morgan Stanley, Goldman Sachs, KPMG, Oracle Cerner) on portfolio platforms, trading infrastructure, data governance, and healthcare analytics. I’m comfortable with requirements, compliance, and working in large, structured teams. If you need a full-stack or data engineer who can own the technical side and communicate clearly, I’d be glad to discuss your project and how I can help.

Hello! I'm Aziz, a dedicated DevOps engineer with a track record of designing and implementing robust infrastructure solutions for high-growth startups and established enterprises. With 5+ years of experience in the field, I've mastered the art of optimizing every stage of software deployment. 🏆 𝐓𝐞𝐜𝐡 𝐬𝐭𝐮𝐟𝐟 𝐈'𝐦 𝐫𝐞𝐚𝐥𝐥𝐲 𝐠𝐨𝐨𝐝 𝐚𝐭: AWS / Kubernetes / Terraform / CICD / Architecture & Design ✨ 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐲 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝 𝐭𝐨𝐭𝐚𝐥𝐥𝐲 𝐭𝐞𝐚𝐦 𝐮𝐩 𝐰𝐢𝐭𝐡 𝐦𝐞 𝐬𝐨𝐨𝐧𝐞𝐫: ✓ Expertise in developing fully functional, secure and efficient cloud and software solutions that meet your expectations. ✓ High-quality code that is well-structured, modular and follows coding best practices. ✓ Timely and efficient maintenance, minimizing downtime and maximizing uptime. ✓ Productive teamwork, smooth coordination and the timely completion of project milestones. ✓ Instant communication and quick response time. 🎯 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐞𝐱𝐩𝐞𝐜𝐭 𝐰𝐡𝐞𝐧 𝐲𝐨𝐮 𝐡𝐢𝐫𝐞 𝐦𝐞: Experience super intuitive, lightning-fast and completely secure solutions capable of seamlessly handling your business needs around the clock. 🤝 𝐖𝐡𝐚𝐭'𝐬 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐬𝐭𝐞𝐩 ? Hire me or send me an invite to your job and I'll make sure to get it done right. Technical Expertise: 𝐂𝐥𝐨𝐮𝐝 𝐌𝐚𝐬𝐭𝐞𝐫𝐲: AWS: Comprehensive knowledge of a wide array of services including EC2, VPC, S3, Lambda, EKS, RDS and more. Proficient in performance optimization tools such as Global Accelerator, CloudFront and Route53. Azure: Extensive experience in managing and optimizing Azure resources and services, aligning infrastructure with best practices for scalability and reliability. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Proven expertise in architecting both Monolithic and Microservices applications utilizing Docker and Kubernetes. 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: Solid command over Git, streamlining code management and collaboration processes. 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Skilled in tools like Terraform, Ansible, AWS CloudFormation and AWS CDK for dynamic and efficient infrastructure automation. 𝐂𝐈/𝐂𝐃 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Demonstrated experience in establishing CI/CD pipelines with Jenkins, TeamCity, AWS CodePipeline and GitHub Actions for seamless software deployment. 𝐒𝐞𝐫𝐯𝐞𝐫 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Hands-on experience with server platforms like IIS, Nginx & Apache ensuring optimal backend services. 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐓𝐨𝐨𝐥𝐬: Aptitude in monitoring and logging using platforms such as Datadog, New Relic, Graylog and AWS CloudWatch for actionable insights and system health checks. 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: Proficiency in scripting tasks with languages/tools like Python, Bash and PowerShell, catering to diverse automation needs. 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Expertise in designing Python DAGs within Apache Airflow for streamlined operations and task automation.

🏆 TOP RATED PLUS Data Expert | Top 3% on Upwork 💰 $500K+ earned | 16,000+ hours | 130+ clients served I am a Sr Data Engineer with expertise in developing robust AI Agents & Analytics layer. I bring over 8 years of hands-on experience with: - Building scalable ETL data pipelines that fetch raw data froms APIs and store it into data warehouses hosted over GCP/AWS (BigQuery | Snowflake | Redshift). - Developing Business Intelligence reports and dashboards using Data Studio (formerly Looker Studio), Metabase, Looker, Tableau etc. - Building powerful AI Agents using Gemini, Claude, OpenAI, Dialogflow. - Track user behaviour data using GA4 and Google Tag Manager. I’ve worked with 130+ clients across eCommerce (Shopify, WooCommerce), digital marketing & paid ads (Meta, Google Ads), mobile apps & gaming analytics, SaaS & web apps, and data-driven businesses in education, clean energy & media. 💡 What I do (End-to-End Ownership) 1. Data Engineering & Warehousing: - Build scalable, reliable data pipelines using BigQuery, Snowflake, Redshift, Python and APIs of data sources - Automated ETL (Airflow, APIs, Fivetran, custom Python scripts) - Single source of truth across marketing + product + revenue 2. Analytics & BI (Decision Systems, not just dashboards): - Executive dashboards (Looker, Data Studio (formerly Looker Studio), Metabase, Power BI, Tableau) - KPI frameworks aligned to revenue - Cohort, LTV, attribution & funnel analysis 3. Marketing & Web Tracking (Accuracy = $$$) - GA4, Google Tag Manager, Server-side tracking - Meta CAPI, Google Ads, TikTok tracking - Fix broken attribution & data loss 4. Generative AI & Automation - AI agents & workflows (OpenAI, Gemini, Claude) - Automate reporting, insights, and ops - Use AI where it actually improves ROI (not hype) 📈 Real Outcomes I’ve Delivered ✔ Built full marketing data warehouse → improved spend efficiency by 30%+ ✔ Fixed tracking & attribution → recovered lost revenue visibility ✔ Automated reporting → saved 20+ hrs/week for teams ✔ Delivered exec dashboards → faster, data-backed decisions 🧠 Why Clients Choose Me - I think like a business owner, not just an engineer - I focus on revenue impact, not vanity metrics - I handle end-to-end (tracking → pipelines → dashboards → insights) - Strong communication + fast execution (no hand-holding needed) 📈 My Tech Stack: - Business Intelligence & Data Visualisation: Google Data Studio (formerly Looker Studio) , Looker, Metabase, Power BI, Mode, Tableau, Databox, Zoho Analytics, DOMO, Google Sheets, etc. - AI: LLMs like OpenAI, ChatGPT, Gemini, Claude, DeepSeek, and GCP's services like Document AI, DialogFlow, CCAI, etc. - Engineering: SQL, Python, Airflow, APIs, Cloud Functions, Lambda Functions, Cloud Composer, Cloud Run - Data Warehouses: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, and Azure. - ETL & Webhook tools: n8n, Fivetran, Stitch, Windsor, Supermetrics, Power My Analytics, Saras Analytics, Zapier, Make, etc. - Tracking: Google Tag Manager, Google Analytics 4, Meta Ads Conversion API, Google Ads Conversion tracking, Stape, Server-side tracking. - Data Sources: Shopify, WooCommerce, BigCommerce, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Apple Ads, Amazon Ads, Bing Ads, Google Analytics 4, Google Search Console, Google My Business, HubSpot, Active Campaign, PipeDrive, Facebook Page Insights, Instagram Insights, Stripe, SEMRush, MailChimp, Klaviyo, ClickUp, Ahref, etc. 👉 Let’s Work If you’re looking for someone who can own your entire data stack and turn it into a revenue engine, let’s talk. Click “Invite” and let’s discuss your use case 🚀 ----- 🔍 𝗞𝗘𝗬𝗪𝗢𝗥𝗗𝗦 GA4, Google Analytics 4, Google Tag Manager (GTM), Server-side Tracking, Meta Conversion API (CAPI), Google Ads Conversion Tracking, Marketing Attribution, BigQuery, Snowflake, Redshift, Data Warehouse, Big Data, Data Engineering, ETL, ELT, Data Pipelines, Apache Airflow, Airflow DAGs, PySpark, Spark, Databricks, SQL, Python, Advanced SQL, Data Modeling, Data Transformation, Data Architecture, Data Lakes, Data Studio, Looker Studio, Power BI, Tableau, Data Visualization, Dashboard Development, Business Intelligence (BI), KPI Dashboard, Reporting Automation, Shopify Analytics, WooCommerce Analytics, Marketing Analytics, Product Analytics, Funnel Analysis, Cohort Analysis, LTV Analysis, Retention Analysis, Generative AI, OpenAI, ChatGPT, Gemini, Claude, AI Agents, AI Automation, AI Agents, LLM Applications, n8n, Workflow Automation, No-code Automation, Low-code Automation, Zapier, Make (Integromat), API Integrations, Webhooks, Stripe, HubSpot, Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Cloud Platforms (GCP, AWS), Cloud Functions, AWS Lambda, Data Orchestration

I build data platforms and BI systems that turn messy data into reliable dashboards and automated analytics. I work daily in production BI environments, specializing in Apache Superset, secure multi-tenant dashboards, and backend data systems. My focus is building analytics platforms that are stable, scalable, and easy for teams to use. What I Do Best — Customize and extend Apache Superset (RLS, Jinja templating, global parameters, alerts) — Develop custom chart plugins and extend the platform with new visualization capabilities — Design and optimize complex SQL queries (PostgreSQL, MSSQL, Firebird) — Build backend logic in Python for data workflows and automation — Deploy systems using Docker and containerized environments — Set up CI/CD pipelines (GitHub Actions, GitLab CI) — Build internal dashboards and data tools for business teams Real-World Experience — Implemented global parameter systems inside BI environments — Built SQL Lab extensions to execute stored procedures and generate datasets — Worked with multi-database synchronization and metadata systems — Managed production deployments and infrastructure debugging — Automated workflows using Python and Bash If you need someone who understands both backend engineering and the data layer, I can help design and implement a clean, reliable solution from the start. I focus on clean architecture, long-term maintainability, and real business impact.

🚀 I help businesses turn messy, scattered data into clean, automated, decision-ready systems. ⚡ 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐂𝐥𝐨𝐮𝐝 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 | 🏆𝟖𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 | 📊𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐄𝐓𝐋 & 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 I help startups and growing companies turn scattered, unreliable data into automated, decision-ready systems. From building production-grade ETL pipelines to deploying Power BI dashboards used by executives, I deliver data platforms that are scalable, secure, and cost-efficient. With 𝟒+ years of professional experience and 𝟖𝟎+ successful data projects, I specialize in making data fast, accurate and business-ready. ⚡ 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ◼ End-to-End ETL / ELT Pipelines (Airflow, Azure Data Factory, Databricks) ◼ Cloud Data Warehousing & Lakehouse Architecture ◼ Big Data Processing with PySpark & SQL ◼ Database Design, Modeling & Performance Optimization ◼ Data Migration & System Integration (APIs, Legacy Systems, SaaS Tools) ◼ Power BI Dashboards & Analytics Automation 🤝 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐃𝐨 𝐟𝐨𝐫 𝐘𝐨𝐮 ◼Build automated ETL/ELT pipelines (Airflow, ADF, Databricks, AWS Glue) ◼Create cloud data warehouses & lakehouses (Snowflake, Redshift, BigQuery, Synapse) ◼Develop Power BI dashboards & data models used by executives ◼Integrate data from APIs, SaaS tools & legacy systems ◼Improve data quality, performance & reporting speed ◼Migrate on-premise systems to AWS, Azure, or GCP 💬 Smarter data. Faster decisions. Higher ROI. Let’s build pipelines that actually power your growth. 🔑 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 #DataEngineer #Azure #Databricks #ApacheAirflow #ETLPipelines #BigData #PySpark #SQL #PowerBI #DataMigration #DataIntegration #DataWarehousing #CloudDataEngineering #BusinessIntelligence #DatabaseDesign