About

Abhishek Jha is a skilled data engineer with over 4 years of experience in designing and implementing scalable data pipelines and distributed systems using big data technologies. He is currently working at Fi (EpiFi) in their Data Engineering & Platforms team, where he is involved in reimagining the banking experience for digital natives. Prior to this, he worked as a Senior Software Engineer at Freshworks in their Data Lake Team, where he solved different problem statements related to BigData, Data Platforms, and Data Engineering. Abhishek is proficient in various big data technologies such as Hadoop, HDFS, S3, Hive, Impala, Kafka, Hudi, Spark, Druid, Debezium, MySql, and Sqoop. He is also skilled in programming languages such as Python, Bash, and Java. Abhishek has experience in both streaming and batch data pipelines and has worked with data platforms such as Cloudera (CDH) and Databricks (Delta Lake). He is well-versed in infrastructure management using AWS and Ansible. Abhishek's past experience includes writing scalable streaming/batch data pipelines to ingest data from multiple sources, scaling Data Lake Platform, implementing next-gen Data Platform with auto-scaling cluster capabilities using Databricks Delta lake and Lakehouse, and interviewing candidates for the Software & Senior Software Engineer role in the team. He has also implemented and scaled Data Lake platform with CDH for analytical, ML & AI use cases across the organization with proper authentication & authorization and encryption/hashing best practices. Abhishek holds a Bachelor of Technology degree in Electronics and Communications Engineering from SRM University. He has also completed his schooling from Kendriya Vidyalaya. Abhishek's technical skills include Data Engineering, Software Engineer, Databricks, AWS, Spark, HDFS, Ansible, Python, Hadoop, Big Data, MySQL, Kafka, infra, Apache Hive, AI, and ML. Overall, Abhishek Jha is a highly skilled data engineer with a passion for designing and implementing scalable data pipelines and distributed systems. He is a valuable asset to any organization looking to leverage big data technologies to solve complex business problems.