Gagan Deep Juneja

Software Engineer

Bengaluru, Karnataka, India17 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in real-time data processing with Apache Flink.
Strong background in developing SaaS solutions.
Proven leadership in Agile development environments.

Stackforce AI infers this person is a Backend-heavy SaaS engineer with expertise in real-time data processing.

Contact

Skills

Core Skills

JavaHadoopApache FlinkAws Kinesis

Other Skills

OpenSearchPerformance OptimizationMonitoringReal-time Data ProcessingKafkaRMachine LearningDistributed SystemsAWSPythonHibernateSpringStrutsJava Enterprise EditionServlets

About

Committer and PPMC member in Apache Blur project based on Hadoop, Lucene, Zookeeper. Working in pure Agile based development environment. Hands on technical guy with command in Java, Spring, Hibernate, shell scripting and databases. Good knowledge of Hadoop, Hive, Lucene and Solr. Excellent communication and troubleshooting skills with ability to interact at all levels with the Customer and end users to define functional and technical requirements. A target oriented team player with strong work ethics, proactive, committed and self motivated.

Experience

17 yrs 7 mos

Total Experience

3 yrs 6 mos

Average Tenure

3 yrs 9 mos

Current Experience

Amazon web services (aws)

Sr. Software Dev Engineer - OpenSearch

Jul 2022 – Present · 3 yrs 9 mos · Bangalore Urban, Karnataka, India

Spearheading the development of intelligent monitoring, automated recovery, and performance optimization features for Amazon OpenSearch Service. Focused on enhancing system reliability and efficiency through advanced observability tools, auto-tuning mechanisms, and actionable insights.

JavaHadoopOpenSearchPerformance OptimizationMonitoring

Opensearch project

Contributor

Jul 2022 – Present · 3 yrs 9 mos · Bengaluru, Karnataka, India

Amazon

2 roles

Sr. Software Dev Engineer

Promoted

Dec 2019 – Aug 2022 · 2 yrs 8 mos · Bengaluru, Karnataka, India

Engineered a high-performance real-time data platform utilizing Apache Flink and AWS Kinesis, capable of processing 15 million mutable and immutable events per minute. Leveraged Apache Flink's distributed streaming capabilities and AWS Kinesis' scalable data ingestion to achieve sub-10-second data freshness, enabling near-real-time analytics and insights.

Apache FlinkAWS KinesisReal-time Data Processing