About

Anand Jha is an experienced data engineer and full-stack software developer with a passion for leveraging cutting-edge technologies to solve complex data problems. He is currently working as an Associate Technical Architect at Quantiphi, where he has designed and implemented multiple ETL and ELT pipelines using a wide range of technologies such as big data and warehousing on AWS using EMR, Glue, Redshift, Kinesis, and Step functions. Anand is a skilled software engineer with experience working on technologies such as J2EE stack, Scala, Python, Angular JS, Angular 2+, and Mainframe. He has worked on building ETL pipelines and event-driven microservices using Java, Scala, Spark, and AWS. In his previous role as an Associate Technical Architect at Quantiphi, Anand led the design and implementation of data lake and data warehouse leveraging big data technology like PySpark and a range of AWS services like S3, Glue, EMR, Lake formation, DMS, Kinesis, Redshift, Dynamo DB, Step function, and Lambda. He also worked as a Software Developer, where he built cloud-native applications along with dashboard support using Spring Boot, Spark, Python, Angular 7, and AWS. Anand has a Bachelor's degree in Computer Engineering from Padmabhushan Vasantdada Patil Pratishtans College of Engineering and a Diploma in Computer Engineering from Government Polytechnic, Thane. He also completed his High School education from K.K. Rajpopat School. Anand's technical expertise includes Senior Software Engineering, AWS, Big Data, Software Engineering, Spark, AngularJS, ETL, Data Engineering, Data Warehouse, Microservices, Spring, Scala, Spring Boot, MapReduce, CI/CD, Python, Kubernetes, Docker, and Jenkins. With 7.78 years of relevant experience, Anand is a valuable asset to any team looking to solve complex data problems using the latest technologies.