About

Suraj Bhandari is a Lead Data Engineer at Grab with over 11 years of experience in the IT industry. He is specialized in Data Engineering, Software Testing, and QA practices. With 4 years of experience in leading and managing a team, Suraj has proven his ability to lead and mentor his team members. In his current role at Grab, Suraj is responsible for designing and implementing data pipelines, data modeling, and data warehousing. He is also responsible for managing and mentoring his team of data engineers. Suraj has a strong understanding of data engineering tools and technologies, including SQL, Kafka, ETL, AWS, NLP, Apache Airflow, Kubernetes, Docker, and NoSQL databases like MongoDB. Before joining Grab, Suraj worked as a Senior Data Engineer at Redmart, where he set up real-time data pipelines using Apache Kafka, Debezium, and Apache Nifi. He also hosted Kafka on Docker and Kubernetes and set up Presto clusters to run federated queries and build ETLs. Suraj ported old deficient Pentaho ETLs to Apache Airflow and set up pipelines to move and transform data from NoSql (Mongo) to SQL (RedShift). He also created automation tests for data quality and correctness and moved the code base to GitHub, brought in git processes to check-in code, and established a code review process. Suraj created basic Machine Learning and NLP models to achieve better data visualization and some classification. Suraj has also worked as a Lead Software Engineer at Altisource, where he streamlined CI/CD processes to the BI repositories and trained the team over git process and GitHub usage. He proposed datalake with HDFS and staging with Postgres. Suraj holds a Bachelor of Engineering (BE) degree in Electrical, Electronic and Communications Engineering Technology/Technician from Vishveshwaraiah Technological University and a Full Stack Web Development Certification from Free Code Camp. With his extensive experience in data engineering and software development, Suraj is a valuable asset to any organization. He is highly skilled in managing and mentoring teams, designing and implementing data pipelines, and ensuring data quality and correctness.