About

Jitesh H. is a Sr. Data Engineer with over 7 years of experience in developing and optimizing complex ETL/ELT workloads primarily using Oracle EBS as a source. He has loaded data to SMP as well as MPP databases, including Azure Synapse. Jitesh is an expert in writing complex SQL queries, stored procedures, and views and is well-versed in query performance tuning using execution plan and indexing. He has extensive knowledge of data warehousing concepts, including various schemas like star, snowflake, and fact constellation schema. Additionally, Jitesh has experience working on Synapse Dedicated SQL Pools, Table distributions, and Indexing. Jitesh has hands-on experience on Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS2), and Azure Analysis Services. He has a proficient understanding of distributed storage and computing, Spark architecture, and has hands-on experience on Databricks, PySpark, Hive, and Python. Jitesh has worked as a Data Product Analyst at Swiggy and as a Business Intelligence Developer at Itron in the past. Jitesh holds a Bachelor's degree in Electrical, Electronics and Communications Engineering from JECRC and completed his education in 2015. Jitesh's tech stack includes SQL, Data Engineering, Azure, Databricks, Spark, Python, Snowflake, ETL, Apache Hive, Research Scientist, MySQL, MSSQL, Salesforce, Integration, and Software Engineering. With almost 8 years of relevant experience, Jitesh is a skilled data engineer with expertise in various data warehousing concepts and technologies. He is a dedicated professional with a passion for developing and optimizing complex ETL/ELT workloads and is constantly seeking to expand his knowledge and skillset in the field of data engineering.