Sparsh Agarwal

Software Engineer

Bengaluru, Karnataka, India2 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led development of a real-time analytics platform.
Achieved significant performance improvements in data processing.
Expert in backend and data engineering with full-stack capabilities.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS solutions with a focus on data engineering.

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Skills

Core Skills

Data EngineeringBackend Development

Other Skills

API DevelopmentAlgorithmsAmazon Web Services (AWS)AnalyticsApache KafkaApplication Programming Interfaces (API)Back-End Web DevelopmentBig DataBigTableCascading Style Sheets (CSS)CassandraClickHouseCloudinaryComputer ScienceData Analysis

About

Backend Engineer specializing in scalable, high-performance systems that process millions of events and terabytes of data daily.I architect distributed solutions using Java, Spring Boot, Kafka, and cloud infrastructure (GCP, AWS), working across diverse databases—PostgreSQL, ClickHouse, Cassandra, and Redis. My focus is on building systems where reliability meets speed: optimizing latencies, improving throughput, and delivering measurable impact.Beyond backend development, I bring full-stack capabilities with React and modern frontend technologies, enabling me to build complete solutions from the ground up.I'm driven by challenging technical problems—real-time data pipelines, system optimization, and designing architectures that scale. Great engineering isn't just about making things work; it's about making them work exceptionally well under pressure.Open to connecting with fellow engineers and exploring opportunities.

Experience

2 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 9 mos

Current Experience

Wingify

2 roles

Software Engineer - 2

Promoted

Apr 2025 – Present · 1 yr 2 mos · Remote

Led development of real-time analytics platform processing 50M+ daily events, achieving 67% performance improvement (300ms to 100ms latency) through ClickHouse optimization including window functions, CTEs, and strategic indexing.
Consolidated 3 separate APIs into unified analytics endpoint with advanced funnel analysis capabilities supporting 35-step user journey tracking, representing a 7x expansion in analytical depth.
Architected data deduplication infrastructure managing 2TB+ daily data volume using BigTable and Kafka Streams, delivering 99.99% accuracy with 40% cost reduction.
Optimized PostgreSQL and Kafka configurations across 5 regional deployments, accelerating data processing by 40% and reducing end-to-end latency by 60%.
Implemented GraphQL and Cassandra-backed APIs serving 15+ critical business functions, improving data retrieval speed by 20% and response times by 30%.

ClickHouseBigTableKafkaPostgreSQLGraphQLCassandra+2

Software Engineer -1

Sep 2023 – Apr 2025 · 1 yr 7 mos · Remote

Engineered user journey tracking system processing 100K+ daily sessions with 99.9% reliability using optimized ClickHouse schemas and materialized views.
Enhanced mobile analytics feature serving 2M+ monthly users through optimized data pipeline, achieving 30% accuracy improvement and 25% faster query execution.
Developed high-throughput rule engine processing 10K+ triggers per second with 99.95% uptime, enabling real-time system integrations and automations.
Drove cross-functional system architecture improvements reducing customer-reported issues by 25% and support ticket volume by 35%.

ClickHouseData PipelineAnalyticsReal-Time ProcessingData EngineeringBackend Development