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.

Most data engineers write more pipelines to fix data problems. I write fewer. Code has a real cost, every broken DAG, every silent schema drift, every retry loop someone forgot to log eventually lands in your Slack at 2am. After 7 years of building data systems in Python, I've learned the best pipelines are usually the ones that do exactly one thing well and stop there. I work with founders, analytics teams, and small data teams who've outgrown duct-taped scripts and need real pipelines that hold up after launch. What I build: ✦ ETL/ELT Pipelines : Production-grade pipelines in Python and Airflow, designed to fail gracefully and recover automatically. ✦ Data Warehouse Modeling : Clean schemas in Snowflake, BigQuery, or Redshift, structured so your analysts find what they need without asking the data engineer. ✦ Cloud Data Infrastructure : AWS-based platforms with S3, Glue, Lambda, and managed orchestration. Built for your scale, not for a slide deck. ✦ API & Database Integration : Backend services in FastAPI or Django that move data between CRM, internal APIs, and third-party platforms without becoming the next bottleneck. How I work: Less code, fewer moving parts, more observability. I'd rather ship one Airflow DAG that runs reliably than five microservices nobody understands six months later. Documentation isn't an afterthought, your team should be able to debug the pipeline without me on a Slack call. Tech I work with daily: → Languages: Python, SQL → Orchestration: Airflow, Prefect, Dagster → Warehouses: Snowflake, BigQuery, Redshift → Transformation: dbt, Pandas, PySpark → Cloud: AWS (S3, Glue, Lambda, RDS) → Databases: PostgreSQL, MongoDB → Backend: FastAPI, Django Recent work: ▸ Brave News Data Pipeline: Architected the backend aggregation pipeline for Brave News (200K+ MAUs) with Kafka, FastAPI, and Kubernetes on AWS EKS, increased update frequency by 40% and shipped an NLP classification engine with 85%+ accuracy across 14+ regions. ▸ Lola com Travel SaaS (acquired by Capital One): Built and optimized a large-scale hotel data pipeline in Python and Luigi ingesting from S3, Snowflake, and external APIs into PostgreSQL, Cassandra, and DynamoDB, increased data integration efficiency by 70%. ▸ IEEE-Published Big Data Pipeline: Co-authored an IEEE CloudCom paper on a Kubernetes-based real-time analytics pipeline architecture, 2.4× higher throughput and 80× latency reduction over baseline. How engagements run: Most projects are fixed-fee, scoped after a short discovery call. Hourly available for ongoing maintenance. Send a short description of your data sources, what's currently breaking, and where the data needs to land. I'll come back within 24 hours with a clear plan.

I am a Senior Data Engineer with over 12 years of experience in designing and optimizing ELT pipelines. I specialize in developing scalable dbt data models and ensuring reliable data flows into cloud data warehouses. My strong proficiency in SQL and Python, especially PySpark, allows me to create efficient data solutions tailored to business needs. I have extensive experience with the Azure data ecosystem, including Data Factory and Synapse Analytics, and I am well-versed in Delta Lake architecture. My collaborative approach ensures thorough data validation and governance while maintaining high standards for documentation and KPI modeling. If you’re looking for a detail-oriented engineer who can enhance your data operations and drive insights, let’s connect to discuss your project needs.

I design and build production-grade AI systems that combine Generative AI, Machine Learning, Agentic Workflows, NLP, Computer Vision, and Automation into scalable real-world solutions. With deep expertise across Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, predictive analytics, and full-stack AI development, I help startups, enterprises, SaaS companies, healthcare organizations, and research teams transform complex business challenges into intelligent automated systems. My experience spans AI product development, conversational AI, multi-agent systems, workflow automation, forecasting systems, document intelligence, computer vision, data engineering, cloud infrastructure, and production deployment. I specialize in building AI solutions that are production-ready, scalable, measurable, and focused on business outcomes - not just prototypes. Core Capabilities • LLM & Generative AI - custom GPT-4o, Claude, Gemini, LLaMA, Mistral, DeepSeek, Zephyr, Codellama applications • AI Agents & Multi-Agent Systems - LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, OpenAI Assistants, MCP, tool calling • RAG Pipelines & Vector Search - Pinecone, FAISS, ChromaDB, Weaviate, Qdrant, hybrid semantic search • Workflow Automation - n8n, Make/Integromat, Zapier, API orchestration, CRM & email automation • AI Chatbots - web, WhatsApp, Telegram, voice; production-grade conversational systems • AI Voice Agents - Whisper, ElevenLabs, Retell AI, VAPI, Twilio for inbound/outbound call automation • Forecasting & Predictive Modeling - ARIMA, LSTM, XGBoost, LightGBM, CatBoost for demand, pricing, and trading signals • Classical ML - SVM, Gradient Boosting, MLP, Logistic Regression with GridSearch + KFold CV • NLP & Text Analytics - BERT, BART, BART MNLI, SetFit, SentenceTransformers, sentiment, classification, summarization • Computer Vision - object detection/segmentation, medical imaging, OCR, document AI, RGB + thermal fusion • Photogrammetry & 3D - SfM/MVS, NeRF, Gaussian Splatting, LiDAR & point-cloud processing, UAV imagery • Full-Stack Engineering - FastAPI + React, Next.js, Django, Node.js end-to-end product development • Data Engineering - pandas, NumPy, Parquet, Airflow, dbt, ETL pipelines, real-time processing • Cloud & MLOps - AWS (EC2, SageMaker, Bedrock), GCP (Cloud Run, Cloud Functions), Docker, Firebase, HuggingFace endpoints, Predibase, Llamini • Research & Analytics - market sizing (TAM/SAM/SOM), SWOT/PESTEL/Porter’s, SPSS, STATA, systematic literature reviews Tech Stack • ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels • LLMs & NLP: OpenAI GPT-4o, Claude (incl. 3.5 Sonnet), Gemini, Grok, LLaMA, Mistral, DeepSeek, Zephyr, Codellama, BERT, BART, BART MNLI, SetFit, HuggingFace • Agentic & Automation: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, RAG pipelines, n8n, Make, Zapier, OpenAI API, Anthropic API, MCP, tool calling • Vector & Search: Pinecone, FAISS, ChromaDB, Weaviate, Qdrant, SentenceTransformers, embeddings, hybrid search • Voice & Speech AI: Whisper, Assembly AI, ElevenLabs, Retell AI, VAPI, Twilio, STT, TTS • Data Engineering: pandas, NumPy, Parquet, Apache Airflow, dbt, ETL pipelines, real-time processing • APIs & Backend: FastAPI, Flask, Django, Node.js, REST APIs, Webhooks, WebSocket • Scraping: PRAW, BeautifulSoup, Selenium • Frontend & Apps: React, Next.js, Streamlit, Gradio, Lovable • Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI, SHAP • Cloud & Infra: AWS EC2, SageMaker, Bedrock, GCP Cloud Run, GCP Cloud Functions, Firebase, Docker, VPS, Predibase, Llamini, NVIDIA endpoints • Databases: PostgreSQL, MongoDB, Supabase, Redis • Integrations: Gmail API, Google Calendar API, WhatsApp Business API, Telegram, Stripe, PayPal, Odoo, HubSpot, Salesforce, Twilio • Computer Vision / 3D: OpenCV, COLMAP, RealityCapture, Agisoft Metashape, NerfStudio, PostShot, CloudCompare, PDAL, GDAL • Research & Stats: SPSS, STATA, Excel, meta-analysis, regression, qualitative & mixed-methods analysis • Languages: Python, C++, .NET, MATLAB, JavaScript / TypeScript Keywords for Search Optimiza Artificial Intelligence, Machine Learning, Generative AI, Large Language Models, LLM Engineer, GPT-4, OpenAI, Claude AI, Gemini AI, AI Agents, Multi-Agent Systems, Agentic AI, RAG, LangChain, LangGraph, CrewAI, AutoGen, AI Automation, Workflow Automation, NLP, Deep Learning, Prompt Engineering, AI Chatbots, AI SaaS, Semantic Search, Vector Database, Pinecone, ChromaDB, FAISS, Computer Vision, OCR, Voice AI, Whisper AI, FastAPI, React, AI Product Development, Predictive Analytics, MLOps, AI Infrastructure, AI Integration, Conversational AI, AI Pipelines, Data Science, AI Research, Intelligent Automation, AI Consulting, Cloud AI, AWS, GCP, Docker, AI Deployment, Business Automation, ETL Pipelines, Sentiment Analysis, Forecasting Systems, AI APIs, AI Engineering, Document AI, Medical Imaging AI, Geospatial AI, Photogrammetry, Remote Sensing.

🌍 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 help B2B companies fix broken GTM data pipelines and build clean revenue reporting systems in Snowflake. toolstack: • Snowflake + dbt + Airflow/Dagster orchestration • Python/FastAPI backends with REST, SFTP, and Kafka ingestion • PostgreSQL & Snowflake data modeling (star/snowflake schemas) • Databricks, Spark, Docker, and CI/CD on AWS, GCP & Azure Before tech, I ran international marketing campaigns that grew engagement 40%+, managed Salesforce CRM for a logistics operation, and led cross-country teams. That experience taught me how to translate business questions into measurable outcomes; now I do the same thing at scale with fault-tolerant pipelines instead of spreadsheets.What you actually get when you hire me: ✓ Clean, documented, monitored data pipelines that don’t break at 2 a.m. ✓ Warehouses that business stakeholders love because the numbers finally make sense ✓ Clear communication — I speak fluent “executive” and “engineer” ✓ A sociological lens that helps ask the right questions about human behavior in your data Currently seeking junior to mid-level Data Engineer, Analytics Engineer, or Data Scientist, Marketing analyticts contracts (full-time or part-time) where I can keep building robust, scalable data solutions. Tech I use every day: Python | SQL | Snowflake | dbt | Airflow | Dagster | FastAPI | Kafka | Databricks | Spark | PostgreSQL | Docker | Git | AWS | GCP | AzureLet’s turn your data chaos into trustworthy insights. Message me — I respond fast. Github: AlisonCG1

At HavarTech Solutions we empower Businesses to unlock the true potential of their data, transforming raw information into actionable insights and strategic advantages. As a leading provider of comprehensive data science solutions, we specialize in delivering cutting-edge services that drive innovation, optimize operations and foster sustainable growth. Our Expertise: Data Science & Advanced Analytics: From predictive modeling and statistical analysis to deep learning and natural language processing, we uncover hidden patterns and forecast future trends, enabling data-driven decision-making. We help you understand why things are happening and what is likely to happen next. Data Analytics & Business Intelligence: We design and implement robust analytical frameworks and intuitive dashboards that provide clear, real-time visibility into your key performance indicators. Turn complex data into easily digestible insights that empower every level of your organization. Data Engineering & Pipeline Fusion: We build scalable, robust, and efficient data architectures. From data ingestion and warehousing to ETL/ELT processes and data lake solutions, we ensure your data is clean, accessible, and ready for analysis, seamlessly integrating diverse data sources into a unified, high-performing system. Incident Management & Data Governance: Proactive and reactive, we safeguard your data assets. Our incident management protocols ensure rapid response and resolution to data-related issues, minimizing disruption and maintaining data integrity. We also help establish robust data governance frameworks to ensure compliance, quality, and security. Cloud Computing Services with Machine Learning & AI: Leverage the power of the cloud for unparalleled scalability and innovation. We architect, deploy, and manage secure cloud solutions on leading platforms (AWS, Azure, GCP), integrating advanced machine learning models and artificial intelligence capabilities to automate processes, enhance customer experiences, and create intelligent applications.

I am a Data Engineer with a strong background in Python development, data processing, and automation. I specialize in building efficient ETL/ELT pipelines, managing data workflows, and transforming raw data into clean, structured datasets ready for analytics and machine learning.My Core Technical Stack & Expertise:Languages: Python (Pandas, NumPy, Pytest, SQLAlchemy)Data Pipelines & Orchestration: Designing and automating workflows using Apache AirflowDatabases & SQL: Advanced SQL querying, data modeling, database optimization (PostgreSQL, MySQL)Data Transformation: Building robust data models and documentation using dbt (Data Build Tool)Automation: Scripting, Web Scraping, API integrations, and process optimizationI have hands-on experience in data engineering practices, including data cleaning, preprocessing, validation, and schema design. My background in ML and analytics allows me to deeply understand the downstream data needs of data scientists and business analysts, ensuring the delivery of high-quality data products.I take communication seriously and always make sure I fully understand the client's goals and architecture requirements before starting. I deliver clean, well-documented, production-ready code and consistently meet deadlines. Looking forward to engineering scalable data solutions for your project!

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!

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.