Jaimin Parekh

Jaimin Parekh

Software Engineer, Big Data @ QuEST Global

About Jaimin Parekh

Jaimin Parekh is a Software Engineer specializing in Big Data at QuEST Global in Austin, Texas, with extensive experience in various technologies and domains.

Current Position at QuEST Global

Jaimin Parekh is currently employed as a Software Engineer specializing in Big Data at QuEST Global in Austin, Texas, United States. His role includes managing large-scale data processing and analytics projects, leveraging his expertise in technologies like Spark, Hadoop, and Kafka.

Previous Experience at Tata Consultancy Services

From 2015 to 2018, Jaimin Parekh worked as a Big Data Developer at Tata Consultancy Services in Mumbai, Maharashtra, India. In this role, he focused on building and optimizing big data solutions to improve data processes within the organization.

Educational Background

Jaimin Parekh completed his Master's degree in Management Information Systems from the University of Cincinnati Carl H. Lindner College of Business in 2019. Prior to this, he earned a Bachelor of Technology (B.Tech.) in Computer Science from Narsee Monjee Institute of Management Studies in 2011.

Technical Skills and Certifications

Jaimin Parekh has an extensive skill set in various technologies, including Java, Multithreading, Spark, Cassandra, MongoDB, Kafka, Hive, Oracle, MySQL, Linux, Hadoop, REST API, Microservices, and Spring Boot. Additionally, he is an AWS Certified Developer - Associate, with experience in deploying and managing cloud infrastructure.

Project Experience and Achievements

Jaimin has executed key projects such as migrating on-premises infrastructure to AWS cloud using EMR, RDS, Lambda, DynamoDB, S3, and SQS. He has improved Spark performance by optimizing memory and GC tuning, converted PLSQL procedures into Spark jobs, and built a Spark-Kafka data pipeline for data validation, cleaning, and enrichment.

Domain Knowledge

Jaimin Parekh possesses thorough knowledge in the Finance and Telecom domains. His expertise includes working on data-intensive applications and understanding the specific challenges and requirements of these industries.

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