Mohcin S.

I am a Data Engineer specializing in building scalable data pipelines, data extraction systems, and search infrastructures. I help companies collect, process, and transform large volumes of data into reliable datasets that power analytics, AI, and business applications. My expertise focuses on end-to-end data workflows — from data ingestion and scraping to transformation, indexing, and delivery through APIs. What I can help you with: • Data Pipeline Development Designing and implementing robust ETL/ELT pipelines using Python, workflow orchestrators • Workflow Orchestration Building and maintaining scalable workflows using Apache Airflow or Prefect. And Kafka for real-time streaming pipelines. • Large-Scale Web Scraping Systems Creating resilient scrapers for social media, and web platforms with rate-limit handling, high concurrency, proxy rotation, browser fingerprinting simulation, headless browser, and bot-dectection bypass strategies. • Data Processing & Transformation Cleaning, structuring, and transforming raw data into production-ready datasets. • Storage & Indexing Designing and optimizing databases using Elasticsearch, Postgres, MongoDB, Neo4j for fast and accurate search queries. • Data APIs Building high-performance data services using FastAPI or Flask with authentication and authorization mechanisms, rate limiting, request validation, and caching strategies. • Data Visualization & Dashboards Building interactive dashboards and monitoring interfaces using Kibana, Superset or custom dashboards with Vuejs. What you can expect when working with me ✔ Clean and maintainable code ✔ Scalable architectures for data workflows ✔ Reliable data pipelines designed for production ✔ Clear communication and fast delivery If you need help building data pipelines, scraping infrastructures, or scalable data systems, I would be happy to collaborate with you.