Shailesh Singh

Product Engineer

Hyderabad, Telangana, India2 yrs 11 mos experience
Most Likely To Switch

Key Highlights

  • Expert in building scalable big data pipelines.
  • Reduced ETL job costs by ~90% at Apple.
  • Proficient in Spark and AWS for data solutions.
Stackforce AI infers this person is a Big Data Engineer specializing in scalable data solutions and optimization.

Contact

LinkedIn

Skills

Core Skills

Big Data EngineeringApache Spark

Other Skills

Data PipelinesHadoopETLAmazon Web Services (AWS)JavaScriptNode.jsSQLExtractTransformLoad (ETL)Amazon S3Amazon Elastic MapReduce (EMR)Data WarehousingProblem SolvingData Engineering

About

Big Data Engineer with a Master’s degree in Computer Science and Engineering and over 3 years of hands-on experience developing, optimizing, and maintaining scalable big data pipelines using Spark and Hadoop. Proficient in using AWS services for end-to-end data solutions. Skilled in Scala, Java, Python, and C++, with a strong foundation in data structures, algorithms, and clean code practices. Experienced in handling large-scale data processing with performance and reliability.

Experience

2 yrs 11 mos
Total Experience
2 yrs 8 mos
Average Tenure
2 yrs 11 mos
Current Experience

Techsophy

3 roles

Software Engineer

Jan 2026 – Present · 4 mos

  • work on client site Apple

Associate Software Engineer

Jun 2023 – Feb 2026 · 2 yrs 8 mos

  • work at client site Apple

Software Engineer Intern

Jan 2023 – Jun 2023 · 5 mos

JavaScriptNode.js

Apple

Big Data Engineer

Jun 2023 – Present · 2 yrs 11 mos · Hyderabad · On-site

  • Apple Maps via techsophy
  • Built and optimized scalable Spark-based ETL pipelines to transform vendor geospatial data into Apple’s Neutron Data Model, storing outputs in internal data repositories.
  • Reduced ETL job cost by ~90% and improved processing time from 10+ hours to under 1 hour by optimizing Spark logic and EMR cluster usage.
  • Led ingestion and transformation of large-scale geospatial datasets across multiple countries covering Water, Address, and Street domains.
  • Applied Spark GraphX (Pregel) algorithms to solve complex geospatial problems, enabling accurate mapping of 1M+ river segments and terrain alignment.
  • Designed and maintained 15+ Spark transformation jobs, improving data quality, reliability, and pipeline stability across regional datasets.
Data PipelinesHadoopApache SparkETLAmazon Web Services (AWS)Big Data Engineering

Education

University of Hyderabad

Master of Technology - MTech — Computer Science

Jan 2020 – Jan 2022

institute of engineering and rural technology , allahabad, Uttar Pradesh

Bachelor of Technology — computer science & engineering

Jan 2016 – Jan 2020

N.D.D.A.V. SR.SEC. Public School

intermediate

N.D.D.A.V. SR.SEC. Public School

High School

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