I'm Md Saquib Siddiqui, a Data Engineering Manager at LaCleo Digital, Noida, where I lead the design and delivery of automated data acquisition and ETL systems at scale.
I specialise in turning messy, unstructured data from APIs, PDFs, websites, and SaaS platforms into clean, reliable, and business-ready datasets. I have architected 5+ production-grade ETL pipelines processing 60,000+ records per run, reducing manual data preparation time by approximately 70%.
Starting my journey as a Data Analytics Intern at YBI Foundation — where I analysed 5,000+ records and built interactive Power BI dashboards for data-driven decision-making — I have rapidly grown from an individual contributor to leading a team. As a Manager, my focus has expanded from building pipelines myself to driving architecture decisions, ensuring delivery quality, mentoring team members, and aligning data solutions with business goals.
I hold a Bachelor's degree in Data Science from Maulana Abul Kalam Azad University of Technology (MAKAUT), West Bengal. My academic background in Machine Learning, Statistical Analysis, Database Management, and NLP — including an AI-Driven Crop Disease Detection System built with CNNs (TensorFlow, Keras, EfficientNet) — gives me a strong foundation to build intelligent and scalable data systems.
Core Skills: Python | SQL | Custom ETL Pipelines | Automated Data Acquisition | Enterprise Web Scraping | API & PDF Data Extraction | Data Analytics | Power BI | Team Leadership
