Python Engineer

NIRMALA YARRA

Member of Technical Staff

*.* Years of Experience in Netskope Software Ind Pvt Ltd

************@*****.***

Mobile: +91-812*******

Objective:

To secure a responsible and growth-oriented position in an organization where there is a scope of contributing and updating knowledge and skills for the development of self and organization.

PROFESSIONAL SUMMARY

• In-depth Knowledge on Cloud applications.

• Have work experience on researching of priority SAAS applications to deliver data to customers on time.

• Using Python scripts automated who is the hosting provider and locations based on domain to ip resolution by using python and sql.

• Also have good knowledge on using of AWS EC2 dashboard (creating new instances, creating users, assigning Elastic ip’s etc)

• Automated blacklist generation process which also includes database changes.

• Automated the creating a CSV file which includes database major changes and send mail to customer customers.

• Learns to create system documentation and attends requirements, design and implementation reviews.

• Worked with team in release times for delivering and testing of automated tasks. Programming : Python, Shell scripting

Database : MySQL, MongoDB

Operating System : Windows and Linux

Source Control System : Git

Have knowledge on Core Java, PHP programming languages. PROFESSIONAL EXPERIENCE

Worked as cloud security Analyst from Dec 2014 to April 2016. Worked as Information Research Engineer from April 2016 to March 2017. Now working as Member of Technical Staff-I from April 2017 to Present. Education:

Graduation from Prakasam Engineering College, Kandukur in 2014. Intermediate from Umamaheswara jr College, Ongole in 2010. SSC from Z.P.H.School, Kamepalli in 2008.

PROJECT DETAILS

Apphosting:

Customers need to know the locations in which their app data is stored when they use cloud applications. We gather a list of IPs by resolving the known domains of the app. Then we use geolocation data of these IPs to find the list of countries from which the app's data is served.

Since an app can be accessed from any location, it is highly likely that the data is being served from multiple geographies for localized content and latency requirements. To get the exhaustive list of IP addresses associated with each unique domain of the app, we will need to resolve the domains from multiple locations.

This is achieved by setting up 5 AWS instances in the different locations. Once we have the list of IPs for each app, we use GeoIP2 from MaxMind to find the location and hosting provider of these IPs.

Blacklist:

Worked on content creation for discovery called blacklist by automating the mapping of domain to cloud application using python. For discovery to identify the app usage from the log what customer uploaded. Blacklist used to identify the app usage based on domain name. Each release we add crawled output for newly added apps to blacklist. To improve discovery, we have added new domains for an app using SAN domains from the SSL certificate. As a first step, we have added geo-specific domains like .jp, .in from the certs automatically. We have also added SAN domains for P1 apps after manually comparing the new domains with existing app domains.

PERSONAL DESCRIPTION

Place of Birth : Ongole, Andhra Pradesh

Date of Birth : 23

rd

Nov 1992

Present Resident : Bangalore, Karnataka

Gender : Female

Status : Married

I do hereby confirm that the information furnished above is true to the best of my knowledge and belief.

Nirmala.Y

Bangalore

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