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Ananya singh

Actively looking for Java Backend Development work for SSD role

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About

Ananya Singh is a highly skilled and experienced Software Engineer with 8.45 years of relevant experience. Currently, she is an Intern at IIT Kanpur, where she is working on cutting-edge technologies like Spark, Big Data, Python, SQL, MongoDB, HDFS, MySQL, Spring Boot, Spring, Microservices, Apache Hive, Java, Snowflake, AWS, Apache Airflow, test, Hadoop, Jenkins, ETL, GCP, Integration, Web, and Software Engineer. Ananya has a strong educational background, having completed her Bachelor's degree in National Institute of Technology, Patna in 2019. She also has a degree in 10th and 12th from Kendriya Vidyalaya, where she studied science. Before joining IIT Kanpur, Ananya worked as an Intern at a self-employed company, where she gained experience in various technologies. She has also worked as an Intern at Hewlett Packard, where she received training on the latest technologies. Ananya is a highly motivated individual who is passionate about software engineering and always strives to stay up-to-date with the latest trends and technologies. She has excellent problem-solving skills and is highly proficient in various programming languages and tools. In her free time, Ananya enjoys reading and staying up-to-date with the latest technological advancements. She is also an avid traveler and loves exploring new places and cultures. Overall, Ananya is a highly skilled and experienced Software Engineer with a strong educational background and a passion for technology. She would be an excellent addition to any team looking for a talented and motivated individual to help drive their software engineering efforts forward.

Education Overview

nit patna national institute of technology patna

kendriya vidyalaya

Companies Overview

jp morgan

iit kanpur

hewlett packard

Experience Overview

0.8 Years

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Experience

Senior Software Developer

jp morgan | Hyderabad, Telangana, India

2024 - Present

Intern

iit kanpur | Kanpur Nagar, Uttar Pradesh, India

2018 - 2018

Training

hewlett packard | Kanpur Nagar, Uttar Pradesh, India

2016 - 2016

Skills

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Amazon Elastic MapReduce (EMR)

Amazon S3

Amazon Web Services (AWS)

apache

Apache Hive

Apache Spark

Application Programming Interfaces (API)

Backend

Big Data

Communication

Data Migration

Debugging

Design

Education

Electronics

Extract, Transform, Load (ETL)

GitHub

Google Cloud Platform (GCP)

Hadoop

HDFS

Hive

Integration

Java

Jenkins

JSON

Kibana

Leadership

marketing

Microservices

MongoDB

MySQL

operations

pyspark

Python

Sales

servers

Snowflake

Software Development Life Cycle (SDLC)

Software Engineer

Spring

Spring Boot

SQL

Sqoop

storage

System Design

test

testing

Web

Web Services

xml

Contact Details

Email (Verified)

nitXXXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX38

Education

nit patna national institute of technology patna

2015 - 2019

kendriya vidyalaya

12th

2013 - 2014

kendriya vidyalaya

10 th

2011 - 2012

Frequently asked questions

What company does Ananya singh work for?

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Ananya singh works for jp morgan

What is Ananya singh role in his workplace?

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Ananya singh's role in his workplace is Senior Software Developer

What is Ananya singh's tenure in his workplace?

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Ananya singh's tenure in his workplace is 0.67 years

What is Ananya singh's total experience?

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Ananya singh's total experience is 0.75 years

What is Ananya singh's LinkedIn profile?

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Ananya singh's LinkedIn profile can be found here

What is Ananya singh's email address?

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Ananya singh's email address is nitXXXXXXXXXXXXXXXXXXXom. Unlock here

What is Ananya singh's phone/WhatsApp number?

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Ananya singh's phone number is +91XXXXXXXX38. Unlock here

What schools did Ananya singh attend?

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Ananya singh has attended nit patna national institute of technology patna, kendriya vidyalaya, kendriya vidyalaya

What companies has Ananya singh worked with?

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Ananya singh has worked with jp morgan, iit kanpur, hewlett packard

What are some of Ananya singh's skills?

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Ananya singh has skills in Amazon Elastic MapReduce (EMR), Amazon S3, Amazon Web Services (AWS), apache, Apache Hive, Apache Spark and more.

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