Application Developer Intern Resume Chicago, IL - Hire IT People

TECHNICAL SKILLS

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

PROFESSIONAL EXPERIENCE

Application Developer Intern

Confidential, Chicago, IL

Responsibilities:

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

Confidential

Responsibilities:

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