About

Mayank Pandharpurkar is a seasoned Data Engineer with over 8 years of experience in Cloud, Big Data, ETL, and Data warehousing technology. He has extensive experience in multiple domains such as Banking and Telecom. Currently working as a Senior Manager at Morgan Stanley, Mayank has been actively involved in cloud migration projects and has gained knowledge in Azure Databricks, Snowflake, and Rest APIs. Mayank has a sound understanding of Hadoop Framework and has experience in Sqoop, Impala, Hive, Spark, Pyspark, HDFS, YARN, MR functionality, and worked on Hortonwork Data Platform (HDP) and Cloudera Data Platform (CDP) providers. He also has extensive experience in creating generic reusable frameworks and components on Hadoop and Cloud platforms. Mayank has expertise in ETL tools such as Pentaho (6.1, 7.1 & 8.3) & Extraction Transformation and Loading (ETL) processes using Ascential DataStage 7.5(Server Extender) & IBM Websphere DataStage & QualityStage 8.5 & 8.7. He has been involved in Performance Tuning and troubleshooting of ETL and domain object calculations used for business reporting written in (Python/Datastage/Pentaho), SQL, Snowflake, and Azure Databricks areas. Mayank has coding proficiency in Python and Unix shell scripting. He has practical experience in Data warehousing concepts and recognizes the significant differences that the design and implementation methods for the Enterprise Data Warehouse (OLAP) have from the Source Systems (OLTP) approach. He also has basic knowledge of Qliksense reporting tool and has hands-on experience in creating qlik apps. Mayank has good exposure in AutoSys, TWS & Control-M scheduling tools. He has experience working in an agile methodology and DevOps team environment. He has worked as a Manager at Morgan Stanley and as a Big Data Pentaho Developer at HSBC Technology, Pune. Mayank holds a B.Tech degree in Computer Science from Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded. His tech stack includes Data Engineering, ETL, Databricks, Snowflake, SQL, Hadoop, Azure, Spark, Python, Big Data, HDFS, Data Warehouse, DevOps, designer, and Apache Hive. Overall, Mayank has 9.20 years of relevant experience