Jaideep Nagill

Software Engineer

Noida, Uttar Pradesh, India2 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in building high-performance microservices.
Proficient in AWS and Terraform for cloud solutions.
Strong background in regulatory compliance for fintech.

Stackforce AI infers this person is a Backend-heavy Software Engineer with expertise in MarTech and Fintech industries.

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Skills

Core Skills

GoAwsKafkaRedisPython

Other Skills

Python (Programming Language)PostgreSQLDockerKubernetesTerraformOAuth 2.0GitLab CI/CDAWS LambdaSQSDynamoDBApifyBright DataGenesys RWS APIPython (FastAPI)Hypertext Transfer Protocol (HTTP)

About

A Software Engineer at ConsultAdd Inc, I focus on developing robust backend systems using Go, Kubernetes, and Redis. My work includes building high-performance microservices, ensuring scalability, and addressing regulatory compliance for financial services and social media analytics platforms. With a B.Tech in Computer Science from Galgotias University, I aim to deliver secure and maintainable solutions for diverse industries. Certified in AWS Solutions Architecture and Terraform, I leverage modern frameworks and AI-powered tools to create enterprise-grade systems and knowledge management solutions.

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Consultadd inc

Software Engineer

Jul 2023 – Present · 2 yrs 10 mos · Pune District, Maharashtra, India · On-site

Conversational AI Platform for Marketing Campaigns
Led Go call scheduling microservice processing 5,000+ daily calls across multi-tenant platform. Built event-driven architecture with AWS Lambda, SQS, DynamoDB, implementing goroutines with exponential backoff and DLQ. Developed OAuth 2.0 Google Calendar/Outlook integration for real-time meeting scheduling and URL tracking capturing 15,000+ monthly links with analytics. Architected Redis concurrency management handling 60 simultaneous calls with <5ms latency.
Social Media URL Processing Platform
Architected Go microservices processing 5,000+ daily URLs for lead generation with 99.9% uptime. Built URL processing engine with worker pools handling 400 URLs/second through 3-stage validation (syntax, HEAD requests, SQS queuing), reducing invalid API calls by 35%. Implemented serverless Lambda pipeline with batch triggers, timeout controls, and DLQ for API resilience (Apify, Bright Data), achieving 70% cost reduction.
Hydra PaaS (Customer Recording Management)
Developed Kafka consumer processing 500K+ daily purge events with Redis deduplication (99.7% accuracy), improving reliability from 85% to 99.2%. Built multi-tier storage deletion engine integrating Genesys RWS API, Speech Miner, and NAS for 2M+ monthly deletions. Implemented metrics collection with Redis and PostgreSQL for regulatory compliance (PCI DSS, GDPR, FINRA) across 5 global regions.
Enterprise Gen AI Chat Application
Engineered document pipeline handling 1,000+ daily documents through S3, Lambda, and LLM with multi-layer safety guardrails (regex, Azure AI Safety). Led DynamoDB migration across environments using Python scripts with CDC triggers and Terraform, achieving 100% data integrity. Developed FastAPI microservices with Pydantic validation and Swagger documentation.
Tech: Go (Gin, Chi, SQLx, Viper), Python (FastAPI, Flask), AWS (Lambda, SQS, S3, EC2, DynamoDB, RDS), Kafka, Redis, PostgreSQL, Docker, Kubernetes, Terraform, OAuth 2.0, GitLab CI/CD