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scaleai789

Ashok Shah

@scaleai789

Ruby on Rails and Data Lead Engineer

États-Unis
Anglais, Hindi
Certaines informations sont présentées en anglais.
À propos de moi
We're a two-person engineering team with 17+ years of combined experience building production systems for US and European companies. Whether you need a scalable backend API, a data pipeline that actually works, or a full system migration — we can help. - FAANG Data Engineer since 2019 (Meta, PayPal and more) - 10-year backend lead — Rails, Node.js, Angular, AWS - AI-accelerated delivery — we use Claude to cut months of work into days - One point of contact, clear communication, on-time delivery... Plus d’infos

Compétences

s
scaleai789
Ashok Shah
hors ligne • 

Voir mes services

Applications Web Full stack
I will make scalable API, data pipeline that actually works
De3 500 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Meta

Senior Data Engineer

Meta

Sep 2024 - Present • 1 yr 9 mos

Leading pipeline optimization and AI-readiness initiatives across 100s of production pipelines at a major tech company. Leveraging Claude AI to compress months of audit and refactor work into days — achieving ~50% average compute reduction across the pipeline fleet. Building clean, governed, low-latency data infrastructure to feed ML training, inference, and GenAI workloads. Shipping at a pace most teams achieve in quarters, not weeks.

Software_Keys Hub

Senior Software Engineer

Software Keys Hub

May 2024 - Present • 2 yrs 1 mo

Part of requirements analysis, product architecture, implementation and delivery Designed and developed the architecture of the application Maintained the existing apis and developed Scalable Apis for the application Mentored and managed the backend team. Implemented the code deployment cycles to AWS Elastic Beanstalk and used various AWS services like AWS ElasticSearch service, EC2, Cloud front, RDS, & SQS.

PayPal

Senior Data Engineer

PayPal

Jun 2019 - Aug 2024 • 5 yrs 2 mos

Built and optimized scalable ETL pipelines processing data from AWS S3 into a Big Data warehouse using SQL, Python, and Shell. Migrated 60+ SAP-based reporting projects to GCP BigQuery — zero downtime, millions saved in operational costs. Reduced accounting manual effort by 50% through workflow automation and transitioned 50+ legacy pipelines with robust SLAs. Served as the sole onshore engineer in a global team of 15, owning 100+ pipelines end-to-end. Built a reusable deployment toolkit that improved team delivery speed by 20%.