S

Sushilkumar Dhamane

Software Engineer

Maharashtra, India1 yr 9 mos experience

Key Highlights

  • Reduced Spark job runtime by 17%, boosting efficiency.
  • Migrated microservices to JDK 21, leveraging modern features.
  • Remediated 50+ vulnerable libraries, enhancing security.
Stackforce AI infers this person is a SaaS-focused Software Engineer with strong expertise in Java and data engineering.

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Skills

Core Skills

JavaData EngineeringSecurity

Other Skills

SparkJDK 21G1GCZGCGarbage CollectionData PipelinesSpring BootData StructuresMySQL

About

Software Engineer with 1.5 years of hands-on experience in software development, data engineering, and system optimisation. Proficient in Java, Spring Boot, Kafka, Hibernate, MySQL, and Snowflake, with strong exposure to distributed systems using Spark, Scala, Hadoop, Docker, and Kubernetes. ⏱️ Reduced Spark job runtime by 17% by identifying and resolving processing bottlenecks, significantly boosting pipeline efficiency. 🚀 Delivered a successful POC for Java GC optimization, tuning GC algorithms and collecting logs at runtime to enhance performance. 🔄 Handled schema evolution in data pipelines, ensuring seamless field additions with minimal processing and storage impact. ☕ Migrated key microservices from JDK 8 to JDK 21, utilizing modern Java features including G1GC and ZGC enhancements. 🛡️ Remediated 50+ vulnerable libraries across projects, strengthening application security and compliance posture.

Experience

1 yr 9 mos
Total Experience
1 yr
Average Tenure
9 mos
Current Experience

Nielseniq

Software Engineer

Sep 2025Present · 9 mos · Pune, Maharashtra, India · Hybrid

Pubmatic

2 roles

Software Engineer

Jul 2024Jul 2025 · 1 yr · Pune, Maharashtra, India

  • Reduced Spark job runtime by 17%, saving compute
  • resources equivalent to 50 machines, resulting in
  • significantly improved pipeline efficiency and reduced
  • infrastructure costs.
  • Successfully migrated critical microservices to JDK 21 from
  • JDK 8 leveraging new Java features like G1GC / ZGC
  • enhancements.
  • Optimised mobile app inventory monetisation through a
  • feedback loop software solution, driving a DSP spend
  • increase to $20K per day
SparkJavaJDK 21G1GCZGCData Engineering

Software Engineer

Jan 2024Jun 2024 · 5 mos · Pune, Maharashtra, India

  • Conducted a POC to optimize Java Garbage Collection by
  • tuning GC algorithms and collecting GC logs at runtime for
  • performance analysis.
  • Identified and fixed 50+ vulnerable libraries across
  • applications, reducing risk and hardening system security.
  • Managed field addition tasks within data pipelines,
  • meticulously assessing their impact on time and space
  • requirements.
JavaGarbage CollectionSecurityData PipelinesData Engineering

Education

Pune Institute of Computer Technology

Bachelor of Engineering - BE — Computer Engineering

Jan 2020Jan 2024

Z P Agarkar College

Science

May 2018May 2020

Good Shepherd Academy

SSC

May 2017Apr 2018

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