.png){kind=logo}
Farhath Banu
Senior Software Engineer specializing in AI-driven marketing and data platforms
Connect with Farhath
Farhath already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Backend/data engineer who builds production FastAPI microservices and AWS serverless/Glue pipelines for SMS analytics and marketing segmentation. Led a legacy batch modernization into modular services (FastAPI + Glue/Athena + ClickHouse) using shadow-mode parity checks, feature flags, and incremental rollout. Demonstrated measurable performance wins (12s to sub-second SQL; ~40% CPU reduction) and strong incident ownership with proactive schema-drift prevention.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Built and maintained production FastAPI microservice for real-time SMS analytics (Kafka/SQS ingestion, validation/enrichment, persistence)
- Designed resilient distributed processing with Celery retries and VPC-isolated internal workers
- Implemented unified authentication layer across multiple providers (Google SSO, email/password, SMS auth)
- Strong testing discipline: TDD, high code coverage, Cypress integration testing, and load testing
- Delivered AWS serverless ingestion/processing using Lambda + SQS with Serverless Framework and GitHub Actions CI/CD
- Built production AWS Glue ETL (JSON from S3 to partitioned Parquet for Athena/Redshift) with crawlers/data catalog
- Schema evolution and data quality expertise (DynamicFrames, versioned schema pattern, nullable fields, validation alerts, dedupe, anomaly detection)
- Modernized legacy batch segmentation system into modular services (FastAPI + Glue/Athena + ClickHouse) using shadow-mode parity validation and incremental rollout
- SQL performance tuning with measured impact: reduced segmentation query runtime ~12s to sub-second and cut CPU ~40% via indexing and query rewrites
- Owned and resolved production data pipeline incident (CloudWatch/SNS detection, hotfix, backlog reprocessing, added drift-prevention controls)
Like what you see? We'll introduce you to Farhath directly.
Experience
Education
Skills
Languages
Browse Similar
Similar Candidates
Senior Full-Stack Software Engineer specializing in developer tools and QA automation
Bhavani Shekhawat
Engineering Manager specializing in AI/ML platforms and 0→1 product delivery
“Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.”
Senior Full-Stack Engineer specializing in .NET, Cloud Architecture, and Angular
Executive Mobile Software Engineer & Founder specializing in iOS, AI developer tools, and telecom
Senior Backend Engineer specializing in cloud-native microservices and real-time streaming
Akhilaa Sonduri
Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps
“Full-stack engineer with experience at HubSpot, Accolite, and an early-stage USC alumni startup (Workup). Built and shipped end-to-end workflow automation features (dynamic input configuration with strict schema validation) driving ~25% faster configuration, and delivered an AI interview customization feature in a high-ambiguity startup setting that increased adoption by ~40%. Comfortable operating production systems on AWS with CloudWatch observability and CI/CD, and has built real-time web apps with caching/indexing for performance.”
Interested in Farhath?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Farhath
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent