Harsh Sharma

Software Engineer

Bengaluru, Karnataka, India4 yrs 4 mos experience

Key Highlights

Built real-time analytics systems processing 5M+ events/day.
Reduced report generation time from 35 days to under 5 minutes.
Architected KYC platforms serving 50K+ users/month.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and SaaS with expertise in scalable systems and microservices.

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Skills

Core Skills

PythonApache AirflowFastapiPrometheusCi/cdRustKafkaClickhouseKong Api GatewayJavaMulesoftGoDataweave

Other Skills

Python (Programming Language)PandasNumPyPrometheus.ioGrafanaAzure DevOpsRust (Programming Language)MuleSoft Anypoint PlatformGo (Programming Language)MuleSoft CloudHubGinAmazon EKSAmazon S3WebSocketLoki

About

🚀 Senior Backend Engineer | Python, Rust, FastAPI | Scalable Systems | Distributed Architecture I'm a backend engineer with 4+ years of experience designing and delivering scalable, high-performance systems in fast-paced fintech and platform teams. I specialize in building resilient microservices, real-time data pipelines, and cloud-native applications using technologies like Python, Rust, Kafka, ClickHouse, and Airflow. At Juspay and Kotak Mahindra Bank, I’ve: Built real-time analytics systems processing 5M+ events/day Architected KYC platforms serving 50K+ users/month Developed region-aware FeatureFlag systems with sub-ms response time Reduced report generation time from 35 days to under 5 minutes Optimized API infrastructure with Kong Gateway, improving latency by 65% My work spans across system observability (Prometheus, Grafana), CI/CD automation (Azure DevOps, GitHub Actions), and deploying services on AWS/GCP. I thrive in high-impact environments where reliability, performance, and clean architecture are critical. Let’s connect if you're building high-scale backend platforms or exploring engineering collaboration.

Experience

Kotak mahindra bank

SDE-II

May 2024 – Dec 2025 · 1 yr 7 mos · Bangalore Urban, Karnataka, India · Hybrid

Developed a generic reporting pipeline to generate Credit RWA reports using Pandas/NumPy, reducing report generation time from months to under 5 minutes, depending on data volume.
Designed and implemented Airflow-based data delegation pipelines that dynamically adapt based on RISK system dependencies.
Created a FastAPI backend for RISK-Central from scratch with WebSocket support to deliver live file upload and data quality feedback on the UI.
Integrated Prometheus observability, including RequestCounter and RequestGauge, for improved monitoring and alerting.
Setup and manage a self-hosted observability stack on aws with grafana, tempo, loki and prometheus
Built a shared Python Common Services package used across microservices for async DB access, AWS utilities (context managers), and reusable query interfaces.
Automated CI/CD pipelines using Azure DevOps, significantly improving deployment speed and reducing production downtime across environments.

Python (Programming Language)PandasNumPyApache AirflowPrometheus.ioGrafana+1

Juspay

Software Engineer - Integration

Apr 2022 – Mar 2024 · 1 yr 11 mos · Bangalore Urban, Karnataka, India · Hybrid

Architected a real-time, event-driven data pipeline using Rust (rdkafka) and Kafka, processing over 5 million payment events per day with guaranteed exactly-once delivery using Zookeeper.
Designed optimized ClickHouse materialized views supporting analytics dashboards for 10,000+ merchants to track transactions, refunds, and disputes.
Built and maintained a KYC flow with Aadhaar, PAN, bank validation, and liveliness detection APIs, reducing onboarding time by 80%.
Developed a scalable Feature Flag system using FastAPI and Trie data structures, allowing region-based, real-time toggles with auditability.
Reduced internal service latency by 70% by introducing centralized auth at the Kong API Gateway level.

Rust (Programming Language)KafkaClickHouseFastAPIKong API GatewayRust

Apisero inc.

Software Engineer

May 2021 – Mar 2022 · 10 mos · Pune, Maharashtra, India

Integrated OTP-based authentication into Java Spring Boot services, enabling secure two-factor authentication for over 100,000+ end users across various enterprise apps.
Constructed lightweight APIs using Go (Gin) adopted by 3+ teams, streamlining secure service-to-service integration in internal tools.
Developed FHIR-compliant healthcare APIs on MuleSoft CloudHub, improving HL7 interoperability by 50%.
Optimized Salesforce scheduler APIs using DataWeave, achieving 100% sync accuracy across 1M+ records.

JavaMuleSoft Anypoint PlatformGo (Programming Language)DataWeaveMuleSoft