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Application Developer Intern Resume

Chicago, IL


Programming Languages: JAVA, Python, C#, SQL

Database (SQL/ NoSQL): MS - SQL, MySQL, Oracle, MongoDB, HBase, PostgreSQL

Distributed System Computing: Hadoop, MapReduce, SQOOP, Hive, Elastic Search (ELK), Spark, Kafka

ETL Tools: SSIS, SsRS, Pentaho, Data Integration & Pipelining

Cloud Services: EC2, Lambda, Dynamo Db, S3, RedShift

Version control: Git, SVN


Application Developer Intern

Confidential, Chicago, IL


  • Created and Implemented a system design which involves automation of AWS instance - shutdown/restart by lambda function (Python) with a UI designed in MVC framework that lists features for all instances to customize work timings
  • Automated detection and turning down AWS instances with less utilization, saved $200k / Month to teh organization
  • Designed shell scripts to write/read Instance tags, which is used as storage fields for instance work timings
  • Implemented an ETL process in SSIS (SQL, C#) to estimate teh customers pledged collateral values by pipelining from CUSIPS generation in staging tables to transferring data to pricing vendors (IHS, Bloomberg, IDC)
  • Successful job creations in Control-M scheduler, repository maintenance and troubleshooting performance tuning is carried out

Software Data Engineer Intern



  • Developed a data life cycle pipeline to migrate virtual user experience data from VR device to Hadoop data store for analysis
  • Carried out teh Extract, Transform and Load (ETL) operation to support teh data scientists for modeling operations from different VR-AR devices based on business requirements and cleaning to create a consistent target data mart after transformation
  • Cleaned large messy datasets and designed an automated data quality report that assess data loads to teh Hadoop Cluster which increased teh team efficiency by 40% after transformations
  • Successfully resolved inconsistencies across 90% of teh usable data and achieved high success rate in avoiding selection bias

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