Shubham Raj

Data Engineer

Gurugram, Haryana, India5 yrs 2 mos experience

Key Highlights

4.5 years of experience in data engineering.
Expert in building scalable ETL/ELT pipelines.
Proficient in AWS services for data processing.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based big data solutions.

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Skills

Core Skills

Apache SparkAmazon Web Services (aws)Java

Other Skills

AWS GlueAmazon Elastic MapReduce (EMR)Apache AirflowApache HudiBashBig DataData Build Tool (DBT)Data LakesGitGradleHadoopKubernetesMySQLPython (Programming Language)SQL

About

Data Engineer with 4.5 years of experience building and optimizing scalable ETL/ELT pipelines in big data and cloud environments. Experienced in designing and implementing BFSI data models, data lakes and data warehouses, with hands‑on expertise in Spark, DBT, Apache Airflow, and AWS services (Glue, EMR, S3, Redshift and CloudWatch) for data processing, performance tuning, andworkflow automation. Collaborates cross‑functionally to drive efficient data solutions, automation, and version control best practices.

Experience

Material

Senior Data Engineer

Oct 2025 – Present · 5 mos · Gurugram, Haryana, India · Hybrid

Kpmg

Senior Data Engineer (Consultant)

Jul 2025 – Oct 2025 · 3 mos · Gurugram, Haryana, India · Hybrid

Lumiq

2 roles

Senior Data Engineer

Promoted

Mar 2025 – Jul 2025 · 4 mos · Noida, Uttar Pradesh, India · On-site

Data Engineer

Feb 2023 – Feb 2025 · 2 yrs · Noida, Uttar Pradesh, India · On-site

SQLApache AirflowAmazon Web Services (AWS)AWS GlueData Build Tool (DBT)Data Lakes+4

Tata consultancy services

Data Engineer (Asst. Systems Engineer)

Mar 2021 – Jan 2023 · 1 yr 10 mos · Bengaluru, Karnataka, India

SQLApache AirflowAmazon Web Services (AWS)AWS GlueData LakesApache Spark+1

Google summer of code

Student Developer (Intern)

May 2019 – Aug 2019 · 3 mos · Remote

Enhanced Checker Framework’s JDK‑11 compatibility by integrating custom type‑checking annotations.
Developed migration scripts to transfer annotations from Annotated‑JDK‑8 to JDK‑11, ensuring continuity.
Patched JDK source code to enhance static analysis and prevent NullPointerExceptions.
Modified Java Compiler (javac) internals to adapt the Java 11 build process.
Fixed bugs in Checker Framework’s intermediate tools, improving stability and functionality.
Technologies used: Java (Core and JDK internals), Git, Bash

JavaBashGitGradle