Rakhi Agarwal

Consultant

Noida, Uttar Pradesh, India4 yrs 6 mos experience
Highly StableAI ML Practitioner

Key Highlights

  • Built scalable backend systems for high-volume transactions.
  • Expert in optimizing database performance and reliability.
  • Proficient in cloud-native deployments and CI/CD practices.
Stackforce AI infers this person is a Backend Engineer specializing in Healthcare technology and cloud-native solutions.

Contact

Skills

Core Skills

Python (programming Language)FastapiDjangoCeleryPostgresqlDockerCi/cd

Other Skills

PandasKafkaMySQLRedisKubernetesAWSAnalytical SkillsNegotiationAnacondaLarge Language Models (LLM)REST APIsDjango REST FrameworkIT Service ManagementServiceNowCustomer Satisfaction

About

Python Backend Engineer with 4+ years of experience building scalable backend systems and secure RESTful APIs using Django and FastAPI. I specialize in designing, developing, and deploying reliable, production-grade services that handle high-volume workloads. My experience includes building APIs supporting 100K+ daily transactions, processing 1M+ records/day through ETL pipelines, and implementing async background processing with Celery and Kafka to improve performance and reliability. I work extensively with PostgreSQL, MySQL, Redis, Docker, Kubernetes, AWS, and CI/CD pipelines to deliver scalable and maintainable systems. I enjoy working on backend architecture, performance optimization, and cloud-native deployments, and I’m always open to roles where I can build impactful products and solve challenging engineering problems.

Experience

4 yrs 6 mos
Total Experience
4 yrs 3 mos
Average Tenure
2 mos
Current Experience

Deloitte

Consultant

Apr 2026Present · 2 mos · Pune City · Hybrid

Python (Programming Language)FastAPI

Tata consultancy services

System Engineer

Nov 2021Mar 2026 · 4 yrs 4 mos · Noida

  • Designed and built scalable backend services and RESTful APIs using Django and FastAPI for healthcare and pharmacy platforms supporting 100K+ daily transactions.
  • Developed ETL pipelines using Pandas to process 1M+ medical and prescription records/day, improving data accuracy by 35%.
  • Implemented async background processing with Celery and Kafka, reducing claims and order processing time by 40%.
  • Optimized PostgreSQL and MySQL queries using indexing and caching, improving API response time by 45%.
  • Integrated Redis caching and rate limiting to support 5× traffic growth without performance degradation.
  • Containerized applications using Docker and deployed services on Kubernetes (AWS), reducing deployment time by 60%.
  • Built and maintained CI/CD pipelines for automated testing and deployment, lowering release failures by 50%.
  • Added Pytest-based unit and integration tests with 85%+ coverage, improving system stability and reliability.
  • Collaborated with product, QA, and operations teams to deliver features with zero critical production incidents.
Python (Programming Language)DjangoFastAPIPandasCeleryKafka+7

Greedge

Graduate Trainee

Oct 2021Nov 2021 · 1 mo · India

  •  Intensive work in selling and customer acquiring skills
  •  Increased 75% on the spot sales using creative ideas, query resolution and decision-making skills.
  •  Understanding customer needs for better customer experience.
  •  Managed a team of 4 and increased productivity by 120%.
Analytical SkillsNegotiation

Innolabz ventures

Engineering Intern

Jun 2021Sep 2021 · 3 mos · Noida, Uttar Pradesh, India

Python (Programming Language)Anaconda

Education

DIT UNIVERSITY

Bachelor of Technology - BTech — Petroleum and energy studies

Jan 2017Jan 2021

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