Eti Goel

Senior Software Engineer

Bengaluru, Karnataka, India8 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and AI technologies.
Proficient in complex algorithms and data structures.
Experienced in developing scalable software solutions.

Stackforce AI infers this person is a Software Engineer with expertise in API development and data processing in tech-driven environments.

Contact

Skills

Core Skills

ClojureApi DevelopmentLog ManagementData Processing

Other Skills

AlgorithmsAmazon Web Services (AWS)AnsibleApache StormCC++Computer NetworkingData StructuresDatabasesELK StackGemFireHadoopJavaKafkaKylin

About

Focussing on how we can transform the world using cutting edge technologies like Machine Learning, Artificial Intelligence and much more.. Passionate coder who loves to design & develop solutions for real life problems using complex Algorithms.

Experience

Google

3 roles

Senior Software Engineer

Promoted

Apr 2025 – Present · 11 mos · Bengaluru, Karnataka, India

Software Engineer III

Apr 2022 – Apr 2025 · 3 yrs · Bengaluru, Karnataka, India

Software Engineer II

Jun 2020 – Mar 2022 · 1 yr 9 mos · Bengaluru, Karnataka, India

Amazon

SDE 1

Apr 2019 – May 2020 · 1 yr 1 mo · Bangalore

Helpshift

Software Developer Engineer

Nov 2018 – Apr 2019 · 5 mos · Pune, Maharashtra, India

Enhancing features for API like adding pagination etc.
Currently working on clojure, vagrant, ansible, mongo, Kylin

ClojureVagrantAnsibleMongoKylinAPI Development

Citi

Assitant manager

Jul 2017 – Nov 2018 · 1 yr 4 mos · Pune/Pimpri-Chinchwad Area

1. Error log parser.
Designed an error log parser using ELK stash. In OpenLink, GBs of error logs were produced every
day. These errors were causing instability in application. And it was very difficult to parse those logs
manually and deduce any meaningful conclusion.
Hence an automated tool using ELK (Elasticsearch, Logstash, Kibana) stack is developed to parse
logs.
It gives visual representation of top script names that generate maximum number of errors and
warnings and their respective error messages are represented.
Jiras were created to resolve those errors.With the help of it we have reduced error logs from 12GB to KBs.
2. Currently started working on niche technologies such as Apache Storm, Kafka, GemFire to develop an optimal solution replacing the 20 years legacy application that automates the manual entry of the trades in the middle layer of TPS2.

ELK StackApache StormKafkaGemFireLog ManagementData Processing

Goldman sachs

Summer Analyst

May 2016 – Jul 2016 · 2 mos · Bengaluru, Karnataka, India

Designed an automated UI tester to check the flow of website and check whether components are
working as expected or not.
Programming Languages: BDD, JavaScript, jasmine