Open to senior data & ML engineering roles

Building data systems that scale.

I'm Sainath — a Data Engineer II at Amazon Ads with 10+ years turning messy data into reliable systems. I hold the Financial Risk Manager (FRM) certification and have worked across credit risk, insurance, and large-scale ML pipelines.

The short version

I design and operate data infrastructure that makes analytics actually usable — clean pipelines, well-modeled tables, and ML feature stores that don't break in production. My background in financial risk (credit scoring, Basel-compliant reporting) shapes how I think about data quality and consequences. Outside of code, I care about reducing time-to-insight for the business teams I support.

What I work with

Data Engineering

  • ETL / ELT Pipelines
  • Data Modeling
  • Data Governance
  • Reporting & Dashboards

AI / ML

  • Feature Engineering
  • ML Pipeline Design
  • Model Evaluation
  • Predictive Modeling

Risk & Finance

  • Credit Risk Analytics
  • FRM — GARP Certified
  • Risk Scoring Models
  • Regulatory Reporting

Tools & Platforms

  • Python, SQL
  • AWS (Redshift, Glue, S3)
  • Spark / PySpark
  • Airflow, dbt

Where I've worked

Data Engineer II
Amazon Ads
May 2022 – Present
Seattle, WA
  • Build and own high-throughput data pipelines powering ads measurement, attribution, and advertiser reporting at scale.
  • Design ML feature engineering workflows for real-time bidding and campaign optimization models.
  • Drive data quality and governance initiatives across cross-functional engineering teams.
Data Scientist
Chubb
Feb 2022 – May 2022
New Jersey, USA
  • Developed predictive models for insurance risk scoring using structured claims and policy data.
  • Collaborated with actuarial teams to validate model outputs against real-world loss outcomes.
Data Science Analyst (Intern)
VIP Structures
Jun 2021 – Dec 2021
Syracuse, NY
  • Delivered data analysis and visualizations to support construction project planning and cost forecasting.
Research Data Analyst (Intern)
Paychex
Apr 2021 – May 2021
Rochester, NY
  • Performed exploratory data analysis on HR and payroll datasets to surface workforce insights.
Assistant Manager — Data Science & Risk
Union Bank of India
Mar 2017 – Dec 2019
Mangaluru, India
  • Built credit risk scoring models and data pipelines supporting Basel III-compliant regulatory reporting.
  • Owned end-to-end data workflows for loan portfolio analytics and early warning indicators.
  • Earned the FRM designation (GARP) while in this role, deepening quantitative risk expertise.

Academic background

MS, Applied Data Science
Syracuse University
2020 – 2021
BTech, Computer Science & Engineering
Jawaharlal Nehru Technological University Hyderabad (JNTUH)
2012 – 2016
✦ Financial Risk Manager (FRM) — GARP

Let's talk

Whether it's a senior data role, a consulting project, or just a conversation about data infrastructure and risk — I'm happy to connect.