Expert Data Engineer | BigQuery | Airflow | Spark | dbt | GCP & AWS 🚀 Transforming Raw Data into Structured, Actionable Insights 🚀 With years of experience in Data Engineering across multiple industries, I specialize in designing, building, and optimizing data pipelines to power AI, analytics, and business intelligence. My deep understanding of BigQuery, Airflow, Spark, dbt, and cloud platforms (GCP, AWS, Snowflake) allows me to tackle complex data challenges with efficiency and scalability. 💡 What I Do: ✔ Architect & maintain modern data platforms (DWH, ETL/ELT, real-time processing) ✔ Optimize data pipelines for cost, speed, and reliability ✔ Implement AI-ready data solutions for machine learning & analytics ✔ Automate workflows using Github Actions & Azure Pipelines ✔ Employ cloud-native solutions using GCP (BigQuery, Composer, Cloud Run) & AWS (Glue, Redshift) 📌 Why Work With Me? ✅ Proven track record in retail, fintech, eCommerce, and AI-driven applications ✅ Strong adaptability—quickly mastering new tools & domains ✅ Detail-oriented and scalable solutions to cut costs & enhance efficiency ✅ Collaborative, proactive, and committed to delivering results Let’s discuss how I can help streamline your data workflows. 🚀

I design and implement robust analytics infrastructures in cloud environments, specializing in automating data workflows with AWS tools like Lambda and Step Functions. With a solid background in developing ETL/ELT pipelines using Python, SQL, and dbt, I ensure reliable daily data ingestion from multiple APIs for product and marketing insights. My expertise in data modeling with Snowflake allows me to deliver traceable and auditable analytical tables and views that empower product and marketing teams. I led a successful initiative to democratize data access for non-technical teams, leveraging SQL and Snowflake Cortex to facilitate self-service analytics. If you need a skilled analytics engineer who can transform your data management strategies and deliver actionable insights, I would love to connect and discuss your project.

Your competitor isn’t smarter — Their team just has AI doing the redundant work. Hi, I’m Hasaan. I specialize in turning inefficient workflows, manual processes, and disconnected systems into intelligent, automated, and scalable software solutions. With a strong foundation in full-stack development and data science, I help businesses reclaim their time by building custom automations, AI-powered internal tools, and interactive dashboards. Whether you need an intelligent CRM pipeline, a full-stack web application, or a deep dive into your business data, I build reliable, flawless systems that work seamlessly behind the scenes. Here is how I can help you: Business Automation & AI Workflows I replace manual, repetitive tasks with smart, resilient workflows that handle edge cases gracefully. Tools: n8n, Make, Zapier Capabilities: Custom API integrations, LLM-driven data extraction and transformation, intelligent email routing, and conversational AI agents for lead qualification. CRMs: Pipedrive, GoHighLevel (GHL), HubSpot. Full-Stack Software Development I build responsive, user-friendly applications and internal tools tailored to your specific business needs without the bloat. Frontend & Backend: React, FastAPI, Django, Node.js. Databases & BaaS: Supabase, PostgreSQL, MySQL. Architecture: REST APIs, headless setups using n8n as an API layer. Advanced Data Analysis & Visualization Good software relies on good data. I haven't left my data roots behind; I still excel at extracting, cleaning, and presenting data clearly. Data Processing: Python (Pandas, NumPy), dbt, SQL. Visualization: Tableau, Plotly, Matplotlib, Seaborn. Featured Experience & Projects: Smart HR Recruitment System (React + n8n): Built a full-stack applicant tracking system with no custom backend. Used n8n as the API layer to capture applications, run AI-driven screening (auto-scoring candidates out of 100), and update a custom React dashboard where recruiters can manage shortlists in real time. AI-Powered CRM Routing (Pipedrive + n8n): Engineered an intelligent email-to-deal workflow. The system uses an LLM to extract structured contact data from inbound emails, applies a multi-layered rule engine via live Google Sheets, and auto-creates Pipedrive deals. Built-in fallback logic ensures 100% completion rates. Conversational AI Agent (Make + GHL): Designed an end-to-end Make automation for a fitness club that qualifies inbound leads 24/7. Integrated GoHighLevel with OpenAI to generate natural, brand-aligned replies, driving consultation bookings and saving 80% of manual follow-up time. Customer Invoice Automation App: Developed a full-stack dashboard using React, Supabase, and n8n. Users can generate invoices, track real-time statuses, and rely on scheduled n8n workflows to automatically detect and email payment reminders for overdue accounts. TECHNICAL SKILLS Automation & AI: n8n, Make, OpenAI API, LangChain, Hugging Face Web & Full Stack: React, FastAPI, Django, REST APIs, Vercel Databases: Supabase, PostgreSQL, MySQL, Google Sheets API Data & Engineering: Python, SQL, Selenium, Web Scraping, dbt I take pride in writing clean, scalable code and designing resilient architectures that gives you real value and output. If you need a meticulous professional who understands how software, automation, and data intersect to drive business growth, let's connect! Drop me a message, and let's discuss your project requirements.

Senior Backend & Data Engineer with 6+ years of experience designing and building custom business systems, API integrations, ETL pipelines, data migrations, and reporting platforms. My background combines software engineering and data engineering. I've designed and implemented solutions ranging from backend APIs and automation tools to enterprise-scale migration frameworks, reporting systems, and data pipelines. In my current role, I've led multiple large-scale data migration initiatives involving complex entity mapping, relationship preservation, schema translation, automated validation, and end-to-end migration execution across enterprise engineering platforms. I have hands-on experience designing database schemas, building REST APIs, integrating third-party systems, automating business workflows, and creating reporting solutions used by management and operational teams. My work includes data extraction from APIs, transformation pipelines, automated reporting, dashboard integration, and system synchronization across multiple platforms. Core technologies include Python, PostgreSQL, SQLAlchemy, FastAPI, Docker, Airflow, dbt, Redis, Celery, REST APIs, Power BI, and CI/CD automation. Typical projects I help clients with: • API integrations and business process automation • ETL/ELT pipelines and reporting platforms • Data warehouse and reporting backend development • Database schema design and data modeling • Data migration and system modernization projects • Backend APIs and internal business applications • Workflow automation and operational reporting I focus on delivering maintainable solutions that solve real business problems, not just code that works for today. Whether the challenge is integrating multiple SaaS platforms, migrating legacy data, building reporting pipelines, or developing a backend system from scratch, I can help design and implement a reliable solution from architecture through delivery.

🌍 Hi, I’m Sherif, a Data Engineer with a strong foundation in Industrial Engineering and specialized training in Microsoft Data Engineering (DEPI). My passion lies in helping businesses transform messy, scattered, or overwhelming data into clear, structured, and actionable insights. From the very beginning of my journey, I was fascinated by how systems work, how processes can be optimized, and how the right information at the right time can change everything. That curiosity led me to Industrial Engineering, and later, to Data Engineering — where I discovered the power of data to drive smarter decisions and open new opportunities for businesses of every size. 💡 Why work with me? Because I don’t just “build pipelines” or “write queries.” I partner with you to understand your challenges, whether it’s dealing with unorganized data, inefficient workflows, or slow reporting systems — and I create tailored solutions that actually solve problems, not just tick boxes. 🔧 Here’s what I can help you with: ✨Building ETL/ELT pipelines to transform raw data into clean, usable formats. ✨Designing and managing SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB). ✨Automating workflows with Apache Airflow and containerizing with Docker. ✨Deploying cloud-ready solutions on Azure to ensure scalability and flexibility. ✨Creating powerful data visualizations (Plotly, Matplotlib, Seaborn) so you can see the story your data is telling. ✨Implementing CI/CD pipelines to make data projects more reliable and efficient. 🌟 What makes me different is not only my technical skills but my mindset. I see data projects as partnerships — your success is my success. I take time to listen, ask questions, and fully understand your goals. Then I design solutions that are efficient, scalable, and aligned with your business vision. 🌍 Whether you’re a startup needing to set up your first data pipeline, a growing business looking to automate reports, or an established company aiming to move your workflows to the cloud, I’ll bring dedication, problem-solving, and clear communication to the table.

I am AI & Data Engineer with 12+ years of experience helping businesses turn messy data and complex problems into clean, intelligent solutions. I specialize in three areas that work beautifully together: AI & LLM Engineering: Building smart applications using Claude, OpenAI APIs, and LangChain. From RAG pipelines to AI agents, I help businesses leverage the power of large language models in practical, production-ready ways. Data Engineering: Designing and maintaining robust data pipelines using Apache Airflow, Spark, and Databricks. I build the infrastructure that makes data reliable, scalable, and accessible. Analytics Engineering: Transforming raw data into meaningful insights using dbt and SQL. Clean models, clear documentation, and data your team can actually trust. I'm cloud-comfortable across AWS, GCP, and Azure, so wherever your stack lives, I can work with it. I'm Anthropic-certified in Claude Code and passionate about staying on the cutting edge of AI tooling. Whether you need a full data pipeline built from scratch, an LLM-powered app, or help modernizing your analytics stack, I'd love to chat about your project! Let's build something great together!

Hey! I am a AI engineer who helps businesses turn raw data into actionable insights and intelligent systems. I work across the full data stack from building pipelines and warehouses to deploying AI models — making sure data flows smoothly and drives real business outcomes. My core expertise includes: Data Engineering – pipelines, data modeling, warehousing, ETL/ELT (Python, SQL, dbt, Spark, Airflow) AI & Machine Learning – model development, LLM integration, workflow automation, predictive analytics Cloud Platforms – AWS, Azure, GCP (data services, storage, compute, deployment) CRM & ERP Systems – Salesforce, HubSpot, SAP, Oracle, Odoo, Microsoft Dynamics (integration, customization, API development) Data & Systems Integration – REST/GraphQL APIs, event-driven architecture, cross-platform data flows I am open to projects or collaborations where data and AI can make a real difference — if that’s what you’re looking for, let’s connect.

I help teams build reliable data platforms, ETL pipelines, lakehouse architectures, and real-time analytics systems on AWS and Databricks. I have 5+ years of hands-on experience designing and implementing scalable data solutions for financial institutions and large enterprises in Vietnam. My work focuses on production-grade data engineering: clean architecture, reliable pipelines, cost-aware infrastructure, monitoring, data quality, and maintainable workflows. I can help with: - Databricks Lakehouse design and implementation - PySpark and Spark Structured Streaming pipelines - AWS data platforms using S3, Glue, DynamoDB, Lambda, and related services - Kafka-based real-time data ingestion - dbt modeling and analytics engineering - Airflow orchestration and pipeline scheduling - SQL optimization and data warehouse design - CI/CD for data pipelines - RAG and GenAI-ready data architecture Example work: - Migrated legacy ETL workloads to Databricks to improve runtime, reliability, and infrastructure efficiency - Built streaming data pipelines using Kafka and Spark Structured Streaming - Designed cloud-native data platforms for stock trading and retail analytics use cases - Created lakehouse-style architectures for cleaner data processing, governance, and analytics access If your data pipelines are slow, fragile, expensive, or hard to maintain, I can help you redesign them into a clearer and more scalable system.

I transform complex datasets into actionable business insights that drive strategic decisions. With over 4.5 years of experience as a Data Analyst, I specialize in SQL Server and Power BI, adept at data modeling, dashboard development, and KPI analysis. I have a proven track record of optimizing performance and enhancing reporting efficiency through the development of interactive dashboards and scalable analytics solutions. My expertise includes building and optimizing ETL pipelines using SQL and Python, as well as working with diverse data formats like JSON and XML. Currently, I am expanding my skill set by exploring modern data stack tools like dbt to enhance my analytics engineering capabilities. If you need someone who can turn data into a powerful asset for your business, let's discuss how I can contribute to your project.

I'm a Senior Data Engineer specializing in Python, Snowflake, dbt, SQL, and AI-powered automation. I help businesses automate repetitive processes, build reliable data pipelines, and turn raw data into scalable systems that save time and reduce operational costs. Over the past several years, I've built production-grade data platforms serving hundreds of client environments, developed AI-driven workflow automation tools, engineered cloud-native data pipelines, and integrated business systems using APIs. My work has reduced infrastructure load by 60%, automated complex operational workflows, and helped teams eliminate hours of manual work each week. I can help with: • AI automation and business workflows • Python development • Snowflake, SQL, and dbt • ETL/ELT pipeline development • API integrations • Data modeling and analytics engineering • Docker, Kubernetes, and CI/CD • Dashboard and reporting automation I focus on delivering solutions that are reliable, maintainable, and designed for long-term business value—not just quick fixes.