Deepak Barnwal

Software Engineer

Bengaluru, Karnataka, India2 yrs 11 mos experience

Most Likely To Switch

Key Highlights

Expert in Kubernetes and Java development.
Proven experience in automating workflows and improving efficiency.
Strong background in competitive programming and problem-solving.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and cloud technologies.

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Skills

Core Skills

JavaKubernetesSql

Other Skills

AlgorithmsAmazon S3Amazon Web Services (AWS)Apache FlinkApache KafkaBack-End Web DevelopmentC++Cascading Style Sheets (CSS)Competitive ProgrammingComputer ScienceConcurrent ProgrammingCreative IdeationData StructuresDesign PatternsEvent Driven Programming

About

Undergrad from Army Institute of technology pune(2023), with deep interests in problem solving and algorithmic challenges. Regular on most of the competitive platforms like Codeforces , codechef etc.

Experience

2 yrs 11 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 9 mos

Current Experience

Zeta

Software Engineer

Sep 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

◦ Designed and deployed an isolated e2e development cluster for developer testing, integrated with the
pre-production environment.
◦ Built custom Kubernetes operators using Java Operator SDK to enforce account-level policies (gst, late
fees, joining fees, over-limit). Enabled infra-native policy enforcement, improving scalability, auditability,
and ease of updates.
◦ Handled on-call responsibilities, triaging and resolving production incidents to ensure high system
availability and reliability.
◦ Developed automation scripts and used OpenResty (Lua) to customize API routing, caching, and request handling for PostgREST-based DB connections, reducing manual ops effort and improving response times.
◦ Automated daily report generation with SQL on Report Center, uploading results to S3 and triggering an
Apache Flink cluster for RNUNP account marking via internal APIs. Implemented event-driven
orchestration using fileApplication mounts on S3, eliminating manual intervention and improving workflow efficiency.