About

Sheetal Palod is a skilled Big Data developer with 2.5+ years of experience in SQL, Hadoop, Map Reduce, HDFS, Sqoop, SnowSQL, Hive, HQL, Scala, and Impetus. She has cleared AZ900, AI 900, and DP900 exams, showcasing her expertise in the field. She completed her Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.34 in 2020 from M.G.M's Jawaharlal Nehru College of Engineering. Currently, Sheetal is working as a Software Engineer at Impetus, where she is responsible for developing optimized SQL code as per client requirements, importing data from upstreams, validating incoming files, and injecting data in Netezza framework. She also writes script files for processing incoming data, transforms data as per business requirements, and collaborates with Business analysts, QA, Support, and BI teams to ensure quality deliverables. She is proficient in performance tuning of code to increase the optimality of the solution and configuring SSIS packages for developed codes. Before joining Impetus, Sheetal worked as an Assistant System Engineer at TCS, where she was accountable for understanding the ETL process carried out, working on L1 loading, and converting Netezza code to equivalent Redshift code. She has experience in developing code for extract file generation in required fixed length or delimited format that can be sent to downstreams. Sheetal is proficient in using various technologies such as Snowflake, ETL, AI, Big Data, and QA. She has excellent communication and collaboration skills, which help her collaborate with cross-functional teams to deliver quality work.