About

Thiruvengadam S is a highly skilled Data Engineer with over 6 years of experience in building and maintaining foundational data infrastructure essential for driving revenue growth and accelerating product development integrating Artificial Intelligence, Predictive Analytics, and Deep Learning solutions with data engineering Stack. He specializes in domains such as Banking, Industrial, and Retail. Thiruvengadam's technical stack includes programming languages such as Python, R Programming, and Py-Spark, SQL databases like MySQL, PostgreSQL, and SQL Server, and NoSQL databases like Hbase. He is also proficient in data orchestration tools such as Apache Airflow and Apache Nifi, Hadoop Ecosystem tools like Hive, Sqoop, Zeppelin Notebook, Mapreduce, and Apache Kafka, and cloud platforms like AWS and Azure. Additionally, he has experience in AutoML tools like Pycaret and H20.AI, BI tools like Tableau, PowerBI, Apache Superset, and Metabase, and MLOps tools like MLflow and MLeap. Currently, Thiruvengadam is working as a Data Engineer AI/ML at Hitachi AI Research Group, where he is responsible for creating and maintaining data ingestion, transformation, storage, and analysis systems that are critical to their ability to meet their obligations to their customers and deliver market-leading new products and features. He also owns projects through their entire life cycle, from conception to architecture to implementation to maintenance, and is an expert on end-to-end data flow for Partner and Client data. Thiruvengadam has previously worked as a Data Analyst at Quberoot Analytics, where he was responsible for assessing ML-based feature requests for feasibility and providing comprehensive analysis of the current state of the product. He has also worked as a Graduate Engineering Trainee in Production Planning & Control at Lucas TVS, where he was responsible for receipt of customer orders from Marketing and preparation of execution schedules for production. Thiruvengadam holds a PG Program in Data Science and Engineering from GLIM and a Bachelor of Engineering (B.E.) in Mechanical Engineering from Anna University. He is highly skilled in AI, Data Engineering, ML, Research Scientist, ETL, SQL, test, infra, AWS, Big Data, Deep Learning, Spark, Apache Airflow, MapReduce, Microservices, Python, MySQL, NoSQL, Hadoop, Kafka, Azure, Data Warehouse, Data Scientist, and Apache Hive.