Preeyadarshee Dev

Software Engineer

Noida, Uttar Pradesh, India4 yrs 4 mos experience

Key Highlights

Expert in building high-throughput data pipelines.
Proven track record in optimizing real-time analytics.
Strong background in AI-driven data solutions.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in data engineering and analytics.

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Skills

Core Skills

AirflowKafkaKubernetesGoApache DruidHadoopReact.js

Other Skills

C (Programming Language)CRDsCSS3Computer ScienceGitHubGolangHTML5MapReduceMySQLOperatorsProgrammingPython (Programming Language)Query SchedulingSemantic SearchSpark

About

I like problem solving.

Experience

Adobe

MTS 2

Dec 2024 – Present · 1 yr 3 mos · Noida · Hybrid

Designed and implemented a high-throughput analytics ingestion pipeline utilizing gRPC for consumption and forwarding data via Kafka to Spark jobs orchestrated by Airflow.
Led the creation of a novel Agentic AI system for Root Cause Analysis (RCA) by aggregating and processing data from diverse sources including Splunk logs, GitHub code, and Starrocks analytics data.
Developed and deployed multiple high-visibility, customer-centric analytics dashboards for business monitoring, engineering performance, and debugging purposes.

gRPCKafkaSparkAirflow

Truefoundry

Senior Software Engineer

May 2024 – Aug 2024 · 3 mos · Bengaluru, Karnataka, India · Hybrid

Architected a distributed Remote Workspace system leveraging Kubernetes CRDs and Operators for enhanced resource orchestration and cluster management.
Developed a RAG framework utilizing vector embeddings and semantic search to optimize information retrieval in large knowledge bases.
Engineered high-performance microservices in Go with concurrent processing for K8s manifest validation

KubernetesGoVector EmbeddingsSemantic Search

Media.net

Software Engineer

Jul 2021 – May 2024 · 2 yrs 10 mos · Mumbai, Maharashtra, India

Dramatically scaled max ingestion rate in Apache Druid from 90K to 0.7 M messages per minute, ensuring zero lag for real-time querying and analytics.
Engineered a fault-tolerant data recovery pipeline utilizing Hadoop and custom Kafka partition handling to guarantee data integrity across the event streaming architecture.
Designed a Query Scheduling Service that optimized P95 query performance by 37% and reduced ingestion latency by 50% by refining Druid ingestion specs.

Apache DruidHadoopKafkaQuery Scheduling

Headfone

Software Engineer Intern

Jan 2021 – Feb 2021 · 1 mo · Bengaluru, Karnataka, India

Spearheaded the design and development of dynamic, user-centric frontend components utilizing React.js, HTML5, and CSS3 to enhance user engagement.
Engineered the public user profile webpage, focusing on responsive design and performance optimization for a seamless cross-platform user experience.
Developed and implemented multiple interactive analytical dashboards, translating complex data visualizations into actionable insights for internal teams.
Collaborated closely with backend teams and designers to ensure pixel-perfect implementation and adherence to modern UI/UX standards.

React.jsHTML5CSS3