Shikha Tomar

DevOps Engineer

Bengaluru, Karnataka, India11 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in Big Data technologies and cloud services.
  • Strong background in software engineering and architecture.
  • Proficient in developing solutions using LLM and AI.
Stackforce AI infers this person is a Big Data and AI specialist in the publishing industry.

Contact

Skills

Core Skills

Large Language Models (llm)Apache Spark

Other Skills

OpenAIApache KafkaAutogenGerative AIAnalytical SkillsMicrosoft AzureAzure Data FactoryAzure DatabricksAzure FunctionsAmazon Elastic MapReduce (EMR)AWS LambdaSQLProgrammingMySQLLinux

About

Experienced Software Engineer with a demonstrated history of working in the publishing industry.  Experience in Big Data technologies like Hadoop, Spark, Hive, Amazon Redshift, Apache Flink, Apache Kafka, etc. Strong engineering professional with a Bachelor of Technology (B.Tech.) focused on Computer Science from Meerut Institute of engineering and technology (Meerut).

Experience

11 yrs 10 mos
Total Experience
2 yrs 11 mos
Average Tenure
5 yrs
Current Experience

Tavant

3 roles

Technical Architect

Promoted

Feb 2026Present · 2 mos · Bengaluru, Karnataka, India

Associate Technical Architect

Oct 2023Present · 2 yrs 6 mos · Bengaluru, Karnataka, India

Large Language Models (LLM)OpenAI

Technical Lead

Apr 2021Oct 2023 · 2 yrs 6 mos · Bengaluru, Karnataka, India

Apache SparkApache Kafka

Cognizant

2 roles

Senior Associate

Jun 2019Apr 2021 · 1 yr 10 mos

Big Data Developer

Nov 2016May 2019 · 2 yrs 6 mos

Time inc. india

Software Developer

Jul 2015Oct 2016 · 1 yr 3 mos · Bangalore

Cognizant technology solutions

Programmer Analyst

Mar 2014Jun 2015 · 1 yr 3 mos · Greater Bengaluru Area

Education

Meerut institute of engineering and technology (meerut)

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2009Jan 2013

Christu jyoti convent high school baraut

ssc — science

Jan 1996Jan 2007

Stackforce found 100+ more professionals with Large Language Models (llm) & Apache Spark

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