ASHWINI GUPTA

Senior Software Engineer

Bengaluru, Karnataka, India11 yrs experience

Highly Stable

Key Highlights

5 years of experience in the big-data ecosystem.
Expertise in Hadoop, Hive, and Spark for data processing.
Developed a data discovery platform enhancing client business.

Stackforce AI infers this person is a Big Data Engineer with strong expertise in cloud-based data solutions.

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Skills

Core Skills

MicroservicesElastic Stack (elk)AwsBig DataHadoop

Other Skills

JavaRedisPostgreSQLPythonGoogle Cloud Platform (GCP)Amazon Web Services (AWS)Python (Programming Language)GraphQLData ArchitectsReact NativeDBMSMicrosoft OfficeMicrosoft ExcelMicrosoft WordWindows

About

Using potentials of Hadoop & Big Data to enhance client business. Professional Profile • Total 5 years of experience in big-data eco-system. • Experience in working and integrating with ecosystems like Hive, Pig, Sqoop, Map Reduce and HBase. • Handle the JSON and XML data using Hive and filter the data based in query factor. • Writing Python framework for running shell scripts. • Writing shell scripts to run Sqoop jobs and transfer data from Oracle/Sqlserver to Hive on Azure HDI. • Creating NiFi workflows to transfer Data from sqlserver to Hive. • Creating NiFi workflows to transfer file (csv, tsv, json) to HDFS, automatically create Hive DDL. • Creating bots in Automation anywhere/UI Path. • Python and Java connection to Elasticsearch and creating API’s. • File parsing using Apache Tika and storing output in Elasticsearch. • Experience in making NLP chatbot to run Elasticsearch query based on user input. • Transferring data to Apache Cassandra from sftp server and hive and then performing ETL in Cassandra on AWS. • Installing and setting up Hadoop environment, Apache Griffin on Ubuntu. • Writing spark application to transfer data from SFTP server into hive, performing ETL and dumping data into HBase. • Making pipeline for data transfer from CSV to Elasticsearch using log stash. • Writing Hive QS and spark jobs to transfer data from HDFS to Elasticsearch. • Writing Elasticsearch templates for background queries for UI. Areas of Expertise Big Data, MapReduce, Hadoop, Pig, Hive, Tableau, Apache Nifi Sqoop, R Programming, HBase, Python, Logstash, Elasticsearch, Kibana, uipath

Experience

11 yrs

Total Experience

2 yrs 11 mos

Average Tenure

1 yr 2 mos

Current Experience

Kintsugi

Senior Software Engineer

Mar 2025 – Present · 1 yr 2 mos · Remote

Genpact

Senior Software Engineer

Jan 2021 – Feb 2025 · 4 yrs 1 mo · Bengaluru, Karnataka, India · Remote

Developing data discovery platform, Powerme

JavaMicroservicesRedisPostgreSQLElastic Stack (ELK)Python+2

Atlassian

Software Engineer

Jan 2019 – Nov 2021 · 2 yrs 10 mos · Bengaluru, Karnataka, India

Python (Programming Language)Amazon Web Services (AWS)MicroservicesGraphQLAWS

Enquero

Software Engineer

Jun 2017 – Jan 2021 · 3 yrs 7 mos · bangalore

Data ArchitectsBig DatapythonhadoopHadoop

Hewlett packard enterprise

Software Developer

Apr 2015 – Jun 2017 · 2 yrs 2 mos · Bengaluru Area, India

Over 2 years of professional experience in Hadoop ecosystem.
Good knowledge of Hadoop ecosystem, HDFS, Big Data, RDBMS, Pig, and Hive.
Experienced in working with Big Data and Hadoop File System (HDFS).
Hands on Experience in working with ecosystems like Hive, Pig, Sqoop, Map Reduce and Hbase.
Strong Knowledge of Hadoop and Hive and Hive's analytical functions.
Capturing data from existing databases that provide SQL interfaces and Hbase using Sqoop.
Efficient in building hive, pig and map Reduce scripts.
Successfully loaded files to Hive and HDFS from HBase & RDBMS
Good knowledge on Hadoop Cluster architecture and monitoring the cluster.
Hands on experience in IDE tools like Eclipse, Pycharm.
Excellent problem-solving skills, high analytical skills, good communication and interpersonal skills.

Dxc technology

Software Developer

Apr 2015 – Jun 2017 · 2 yrs 2 mos · Bangalore

Over 2 years of professional experience in Hadoop ecosystem.
Good knowledge of Hadoop ecosystem, HDFS, Big Data, RDBMS, Pig, and Hive.
Experienced in working with Big Data and Hadoop File System (HDFS).
Hands on Experience in working with ecosystems like Hive, Pig, Sqoop, Map Reduce and Hbase.
Strong Knowledge of Hadoop and Hive and Hive's analytical functions.
Capturing data from existing databases that provide SQL interfaces and Hbase using Sqoop.
Efficient in building hive, pig and map Reduce scripts.
Successfully loaded files to Hive and HDFS from HBase & RDBMS
Good knowledge on Hadoop Cluster architecture and monitoring the cluster.
Hands on experience in IDE tools like Eclipse, Pycharm.
Excellent problem-solving skills, high analytical skills, good communication and interpersonal skills.