Open to opportunities

ketul padariya

@ketulpadariya

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Results-driven Data Engineer & Generative AI Developer building scalable cloud-based data and GenAI systems.

India

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What I'm looking for

I seek roles building scalable cloud data and GenAI systems with strong engineering practices, automated CI/CD, and collaborative, outcomes-driven teams.

I am a Data Engineer and Generative AI developer with 6+ years of experience designing and deploying scalable, cloud-based data systems and GenAI solutions. I specialize in AWS-based architectures, PySpark, Terraform, and building low-latency APIs and automated audit pipelines across marketing analytics, healthcare, and e-commerce domains.

I have delivered real-time conversational APIs with sub-second latency, engineered ETL validation and data-consistency frameworks that reduced manual QA by ~80%, and automated data infrastructure and CI/CD for robust deployments. I focus on practical, compliant solutions—anonymization, consent validation, and audit automation—that drive measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Altimetrik Private Limited

Apr 2023 - Present (2 years 7 months)

Designed real-time GenAI conversational APIs and low-latency streaming infrastructure, and built automated ETL validation and audit frameworks that reduced manual QA time by ≈80% and improved compliance for production data workflows.

Python Pyspark AWS Glue AWS Lambda DynamoDB Terraform Pandas fastAPI

Software Scientist

Valens DataLabs

Oct 2019 - Apr 2023 (3 years 6 months)

Built scalable marketing analytics and e‑commerce data pipelines processing 100k+ transactions/day, delivered BI dashboards reducing manual reporting by 40 hours/month, and developed recommendation and NLP systems for product and resume parsing.

Python AWS Glue Athena S3 Terraform MLFlow SpaCy Pandas QuickSight

Python Developer

Web Secure

Jul 2018 - Sep 2019 (1 year 2 months)

Developed large-scale Scrapy + Selenium scrapers capturing 10k+ pages/day, automated data collection and form-filling scripts, and implemented SQL-based pipelines with Power BI dashboards to track multi-channel sales.

Python Scrapy Selenium MySQL Pandas Power BI ETL Automation

Education

Degrees, certifications, and relevant coursework

PEC University of Technology

Master of Technology, Engineering

Completed a Master of Technology degree focusing on advanced engineering topics and research projects relevant to data systems and software engineering.