
Upendra Sai Ram Kilaru
Data aficionado who is skilled in SQL, Python, Database Modeling & Data Pre-processing, Data Mining, Data Warehousing, Text... | Charlotte, North Carolina, United States
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Upendra Sai Ram Kilaru’s Emails up****@lo****.com
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Upendra Sai Ram Kilaru’s Location Charlotte, North Carolina, United States
Upendra Sai Ram Kilaru’s Expertise Data aficionado who is skilled in SQL, Python, Database Modeling & Data Pre-processing, Data Mining, Data Warehousing, Text Analytics with hands-on experience on BI/Analytics tools like Tableau, PowerBI, Splunk, Microsoft Excel. Built web applications using Flask, ReactJS, NodeJS, Django, HTML, CSS, MVC model, Agile methodology. Moreover, trained, tested, and deployed machine learning algorithms at the University of North Carolina, Charlotte where I pursued Master's Degree. Currently, working as a Data Engineer at Citizens Financial Group. Here I am devising and developing ETL pipelines to move on-prem data (more than 300 data sources that include Flat Files, Mainframe Files, Databases) to AWS S3 using Talend, PySpark. Created and embedded python modules in the ETL pipeline to automatically migrate data from S3 to Redshift using AWS Glue. In future endeavors, I am looking forward to work in a role where I see myself achieving the following goals: * Devising and creating data pipelines that handle huge data (TB's) daily or real-time streaming data. * Create web applications / APIs to serve the data. * Unveil new ways to do performance improvement on existing pipelines. * Present different courses to handle pre-processing of data. * Find innovative approaches to automate all manual workloads if possible. * Interact with APIs to attain data, and integrate the data to add business value to the organization.
Upendra Sai Ram Kilaru’s Current Industry Lowes Companies
Upendra
Sai Ram Kilaru’s Prior Industry
Citizens Bank
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Lowes Companies
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Work Experience

Lowes Companies
Data Engineer
Tue Mar 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Citizens Bank
Data Engineer
Wed Jul 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Mar 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)