About

Rakesh Kumar Tai is a highly skilled Software Developer with a problem-solving and continuous learning mindset. With almost 3 years of relevant experience, he has developed proficiency in a range of technologies, including Data Engineering, Apache Airflow, Python, ML, SQL, Software Engineering, AWS, Javascript, Data Warehouse, ETL, Snowflake, Web, HDFS, AWS Glue, Deep Learning, CI/CD, Typescript, Tensorflow, Search, Flask, and GCP. Currently working as a Data Engineer at Deloitte, Rakesh has previously worked as a System Engineer (Software Developer) at TCS, where he designed and delivered effective and reusable Python solutions for handling Data Warehouse dependencies in Airflow. He also built scalable and reusable Advanced Codeless (ETL) Pipelines using Google Cloud Data Fusion pipelines, Python Automation Scripts to avoid manual work, and SCD 2 and SCD 1 Bigquery (SQL) Scripts to insert curated data into common data warehouse entities. Rakesh worked efficiently in an agile model by gathering requirements and deploying the latest version swiftly. He also worked on the Collibra Platform for metadata management and data governance. Rakesh is a graduate of Gayatri Vidya Parishad College of Engineering (Autonomous), where he earned a B.Tech in Computer Science. He has also delivered an effective solution on cross-dag dependencies in Airflow and built scalable advanced codeless pipelines using Google Cloud Data Fusion pipelines. Rakesh has a Leetcode profile and is always up for new challenges. Overall, Rakesh is a highly motivated and skilled Software Developer with a passion for problem-solving and continuous learning. He is always looking to expand his skills and take on new challenges in the field of Data Engineering and Software Development.