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.
About
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.
Skills
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
Experience
Where I've worked
- 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.
- 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.
- Delivered data analysis and visualizations to support construction project planning and cost forecasting.
- Performed exploratory data analysis on HR and payroll datasets to surface workforce insights.
- 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.
Education