About

Manish Dutta is a Senior Data Engineer with over 7 years of experience in Data Engineering and Software Development. He holds a Master's Degree in Computer Science from North Carolina State University. With his passion and skills in building large-scale Data pipelines and ETL solutions, he has worked within the banking and healthcare sectors. Manish is motivated by complex business problems and is passionate about continuously learning new techniques and technologies. Manish's key competencies include leadership and management, data management and analysis, problem-solving, cloud infrastructure management, and application migration. He has hands-on experience with Python, Java, Unix Scripting, JavaScript, Spark, Hadoop, Hive, SQL, NoSQL, Machine Learning, and AWS (Glue, EMR, Redshift, Kinesis, QuickSight), and Airflow. Currently, Manish is working as a Senior Data Engineer - Data & Analytics at Slalom Build. In the past, he has worked with Zaloni as a Software Engineer - Platform Operations and Electrifai as a Big Data Engineer Intern. In his previous roles, he designed and developed machine learning predictive models using XGBoost, worked on predictive analytic solutions that use machine learning algorithms to detect missing charges from a patient invoice, and built a recommendation system that uses NLP and deep learning techniques to match for-profit organizations with non-profit organizations for Pro Bono work. Manish's educational background includes a Master's degree in Computer Science from North Carolina State University and a Bachelor of Science in Computer Science from Maharshi Dayanand University. He has also completed a Master's degree and a Bachelor of Technology, Bachelor of Science from Maharshi Dayanand University. Manish's tech stack includes Data Engineering, SQL, AWS, Software Engineering, ML, Spark, Javascript, NoSQL, Hadoop, ETL, Infra, Python, Java, Big Data, Apache Hive, Recommendation system, XGBoost, Deep Learning, and NLP. Manish is a Data Enthusiast who is always willing to contribute and add value to an organization.