Mitalee Bakare
Iit Mis Graduate, Data Warehouse Professional Having 7 Years Of Experience In Sql Development, Etl Designing, Data Modeling, Data Analytics, Reporting
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Bangalore, Karnataka, India - Tableau, Business Intelligence, Data Warehousing
Mitalee is based out of Bangalore & has studied MIS-Management Information System, MIT-Master of Information Technology from Year 2014-2016 in ISU-Illinois State University, Illinois State University.
Mitalee Bakare is Skilled in Tableau, Business Intelligence, Data Warehousing and other talents.
Experienced in providing end-to-end management over medium to large scale ETL and BI development. I have in-depth skills in Extract Transform and Transform(ETL), Data and Analytics, Microsoft Excel, Tableau and R. Throughout my career, I have demonstrated a strong ability to understand business needs, translate into technical solutions and deliver above expectations, enabled by excellent people, analytical, presentation, and communication skills.Highlights: Informatica,AWS,Tableau,Unix and Agile
North Carolina Farm Bureau
Full Time
Jul-2016 To Jul-2019
(3 years )
Responsibilities
John Deere
Full Time
Jul-2011 To Dec-2014
(3 years 5 months)
Responsibilities
» 2 Projects
Software Engineer at John Deere
Aug-2015 to Dec-2015
Amazon AWS based Cloud hosted web application for Image Processing: Developed thumbnail generator for images application (HTML, CSS and PHP) hosted in Amazon cloud using AWS – EC2, S3, RDS, SNS, Cloud Watch, ASG on the load balanced EC2 instances with original and processed images (sketches) stored in S3 bucket; email and phone notifications sent to the user after successful processing and enabled graceful degradation... more on Github link
Software Engineer at John Deere
Jan-2013 to Mar-2014
Functionality – This project re-engineered the process to store JDLink data (Modular Telematics Gateway sending machine health information). This data comprised of machine measurements, alerts, and events collected on a 24/7 basis. This process is a high-volume, “big data” batch cycle that can pass up to 200 million records a night. A new database node strategy was devised to allow machine data to be spread across multiple, smaller database instances. Single code multiple runs data model was enabled to migrate current Z/OS JDLink Data Warehouse and Mart to Netezza. Fully automated process with near to real time data leading to time reduction from 12-24 hours to four times daily execution. Redesign facilitated more than 50% performance improvement in the application. Highlights – Push Down Optimization, Netezza Bulk Writer, Netezza Geospatial Store, MSRMT_BASE - 60 billion records, Resource throttle, Dynamic creation of parameter file, one click report, Clone tables, Concurrent work
Illinois State UniversityIllinois State University
2014-2016
| Score 95%
Cummins College of Engineering for Women PuneSavitribai Phule Pune University
2007-2011
| Score 65%