Pradeep Jangid

Senior Software Engineer

Bengaluru, Karnataka, India6 yrs 6 mos experience

Highly Stable

Key Highlights

Strong background in cloud infrastructure and data management.
Proven experience in designing data pipelines and workflows.
Hands-on expertise in Java and Bigdata technologies.

Stackforce AI infers this person is a Backend-focused Software Engineer with strong expertise in Cloud Infrastructure and Data Management.

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Skills

Core Skills

JavaBigdataData Warehousing

Other Skills

BashBootstrapCC++Cascading Style Sheets (CSS)Data StructuresData pipelineDatabasesDjangoGo (Programming Language)HTMLJDBCJavaScriptMVCS architectureMySQL

About

Skilled in Go, Java, C++, C, Python, Databases, Data Warehousing, HTML, and Bootstrap. Strong engineering professional with a Bachelor's degree focused in Computer Science from Indian Institute of Technology (Banaras Hindu University), Varanasi.

Experience

Rubrik

Senior Software Engineer

Nov 2025 – Present · 4 mos · Bengaluru, Karnataka, India

Reshield

Lead Engineer

Oct 2024 – Oct 2025 · 1 yr · Bengaluru, Karnataka, India

Observe.ai

Software Engineer

Jan 2021 – Sep 2024 · 3 yrs 8 mos · Bangalore Urban, Karnataka, India

Flipkart

2 roles

SDE-1

Jul 2019 – Jan 2021 · 1 yr 6 mos · Bengaluru Area, India

Part of the IAAS (Cloud) team.
Designed and created the workflow to orchestrate the VM migration process between JBOD heads.
Created a data pipeline using map-reduce for visualizing infra across the Datacenters.
Gone through Bootcamp and got exposure to Java, Springboot, JDBC, Bigdata, and got hands-on experience to MVCS architecture.

JavaSpringbootJDBCBigdataMVCS architecture

Summer Intern

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

Designed and build Data warehouse with Product Catalogue (Ingestor) team.
Created data pipeline for transforming and moving product ingestion request data from multiple sources to Data Platform.
Developed Data warehouse for storing quality data and reporting on data.
Generated reports for serving various business analytic use cases.

Data warehousingData pipelineReporting