Paresh Yadav's Linkedin Analytics

I am a dataguy at heart, designing, engineering and implementing scalable AI/ML solutions, data platforms and solutions. SQL dbs, to Blockchain (which is a datastore at the heart), I have enjoyed and delivered success to every business challenge, including Hadoop, Cloud and MLOPS. Recruiters, please note: - Please contact me for new opportunities only if it is a one of a kind challenging role, thanks - Cheap and outstanding are antonyms in a market-driven economy! - I am happily employed and enjoying my work, it will take a lot for me to make a move If you are looking for a solid resource that can turn around your cloud-based MLOPs and data stack projects successfully, you have come to the right place. After delivering many successful projects using Hadoop (yes you read it right, Hadoop and successful in the same sentence!) I am ready to deliver bold mission-critical cloud-based data projects. I hope you have read and enjoyed my cautionary tells about Hadoop over the years. How I spend my time at work: Total is > 100 % ! Architecture - 80 % Engineering/Development - 20 % Team Lead - 10 % A "builder" who enjoys architecting, designing, and building complex (by necessity) data lakes, data warehouses, and data pipelines and not afraid to roll my sleeves and write production-grade code. I enjoy helping clients by using the right technology to solve business challenges with the judicious application of Cloud, Data, ML, and AI. Training/Certifications: • GCP - Data Engineering with GCP • GCP – Cloud Architecture with GCP • AWS – AWS Fundamentals: Going Cloud-Native • AWS Certified Big Data – Specialty (In Progress) • AWS Solutions Architect (In Progress) • Oracle Certified Professional I have worked with fortune 500 organizations as well as Startups. I can easily adapt to small/agile teams and work culture of a startup and at the same time scale to prosper within large environments of an Enterprise company. Founder and creator of dbSaint (technology acquired by Quest). Papers published in major international conferences. Specialties: Cloud, BigData, Data Warehousing, Data Modeling, Business Intelligence, Business Analysis, Technical Architecture, Analysis, and Design etc.