About

Anandraj Jaganathan is an experienced Big Data Engineer with 9+ years of professional experience, including 3 years in Big Data and 6 years in Sr. System Analyst in the Healthcare industry. He is currently working at L&T Infotech Private Limited as a data engineering specialist. Anandraj has extensive exposure in designing and developing solutions for Big Data using the Hadoop ecosystem, including HDFS, Hive, Sqoop, Map Reduce, Spark, HBase, Cassandra, and Cloud AWS. He is well-versed with Safe Agile methodology of software delivery and has good experience in Agile methodology and waterfall model. He has a good knowledge of logical and physical data modeling using normalization techniques and has experience in data warehouse concept ETL and SCD. He has designed, developed, and maintained large business applications such as data migration projects and worked extensively on Hadoop migration projects and POCs. Anandraj has experience in importing and exporting data from different databases sources like MySQL, Oracle, and SQL server into HDFS and Hive using Sqoop. He has handled multiple reads and writes as Avro/Parquet format in the Hadoop system and worked on processing large datasets of structured and semi-structured data, such as JSON and XML data. He has worked on AWS components like RDS, S3 buckets, and version control Git hub repositories pull and push the commit. He has developed Hive jobs with shell scripting to automate the test data setup process for unit testing and SIT and developed the framework to set up and run Hive queries in a cluster from Excel to assist the test team. Anandraj has played a key role in deploying the application and running sanity tests and sending results to the business team. He has experience in running queries using Hue and running ad-hoc queries directly on Hive for business users. He is able to assess business rules, collaborate with business stakeholders, and perform source-to-target data mapping. Anandraj has a Master of Computer Applications degree from Annamalai University and a Bachelor of Computer Applications degree from the same university. He has a tech stack that includes Data Engineering, Big Data, Hadoop, AWS, test, Apache Hive, HDFS, Spark, SQL, Normalization, Data Warehouse, MySQL, Cassandra, ETL, and infra. He has 10.94 years of relevant experience.