Prashant Kumar Pathak
About Prashant Kumar Pathak
Prashant Kumar Pathak is an Azure Data Engineer with extensive experience in data engineering and programming. He has worked for notable companies such as Tata Consultancy Services, Oracle, and Bosch Global Software Technologies, and possesses strong skills in various technologies related to data processing and pipeline design.
Work at Bosch Global Software Technologies
Prashant Kumar Pathak currently serves as an Azure Data Engineer at Bosch Global Software Technologies, a position he has held since 2023. He works on-site in Pune, Maharashtra, India. His role involves leveraging his expertise in Azure technologies to design and implement data solutions. Prior to this, he briefly worked at Bosch for one month in the same capacity in 2023.
Previous Experience at Tata Consultancy Services
Before joining Bosch Global Software Technologies, Prashant worked at Tata Consultancy Services as a System Engineer from 2019 to 2022. During his three-year tenure in Bengaluru, Karnataka, India, he gained valuable experience in data engineering and system management.
Experience at Oracle
Prashant Kumar Pathak also worked at Oracle as a Data Engineer from 2022 to 2023. His role in Noida, Uttar Pradesh, India, allowed him to further develop his skills in data processing and management, contributing to his overall expertise in the field.
Education and Expertise
Prashant holds a Bachelor of Engineering (BE) degree in Electrical and Electronics Engineering from CMR Institute of Technology, where he studied from 2015 to 2019. He also attended Rashtriya Military School Bangalore from 2007 to 2014. His educational background complements his technical skills in programming languages such as Python, SQL, and Scala, as well as his proficiency in tools like Apache Airflow, Azure Databricks, and Azure Data Factory.
Technical Skills and Specializations
Prashant Kumar Pathak specializes in designing end-to-end data pipelines and automating ETL processes. He has expertise in performance optimization and real-time data processing using technologies such as Kafka and Azure Event Hub. His proficiency extends to a variety of tools and platforms, including HDFS, PySpark, Spark, Hive, HBase, Cosmos DB, Sqoop, and AWS services.