About

Supriya Tirunampalli is a highly skilled Software Engineer at Apple, with over 9 years of experience in Big Data development and Hadoop technologies. She is a certified MapR Hadoop and Spark developer, with expertise in Hadoop Distributed File System (HDFS) and its ecosystem components such as MapReduce, Pig, Hive, HBase, and Cassandra. She also has experience with search engines like Apache Solr and has a good understanding of big data distributed processing with Spark, Storm, and Kafka. Supriya has worked on batch type ETL/ELT payloads using Flume, Sqoop, and Oozie for data ingestion, data transformation using Pig, and data analysis using Hive. She has also implemented and administered logging, telemetry, and monitoring tools like Splunk. Her experience in Java/J2EE technologies and Big Data/Hadoop development includes requirements analysis, design, and development. She is efficient in Object-Oriented Analysis, Design (UML), Multi-threading and synchronization concepts, Database (MySQL), and designing web applications using HTML, XML, JavaScript, CSS, and AJAX. She has a solid understanding of data modeling in RDBMS and NOSQL databases. Supriya's interests lie in data engineering, data science, Hadoop development, big data analysis, machine learning, business intelligence/analysis, and software engineering. Her skills include Hadoop, MapReduce, HBase, Hive, Pig, Splunk, ZooKeeper, Oozie, Sqoop, Flume, Solr search engine, Java 1.8, C, C++, Python, UML, AWS, NoSQL (HBase), Cassandra, Redis, Oracle, MySQL, Teradata, JSP, Servlets, J2EE, AJAX, Java Scripts, HTML, XML, JDBC, SOAP, and Apache Tomcat. Supriya holds a Master's degree in Computer Science from the Illinois Institute of Technology. She has previously worked as a Senior Software Data Engineer at Visa and a Big Data Engineer at Amex. She is a highly skilled and experienced software engineer with a passion for big data and Hadoop technologies.