Data Quality & Governance Engineer | Building trusted data platforms at scale

I'm a Data Quality & Governance Engineer with 5+ years of professional experience building the infrastructure that makes data teams trust their data.

• 🏢 Previously: Amazon (Data Operations) · Hexaware Technologies (Data Engineer – DQ & Governance) · Mphasis (Data Specialist)
• 🎓 MS Computer Science · Concordia University of Wisconsin · May 2026
• 📍 Madison, WI · Open to relocation across the USA
• 🛂 Authorized to work in the USA on F-1 OPT starting June 2026 (STEM OPT eligible – 3-year authorization)
• 💡 Obsessed with one question: How do you make data trustworthy at scale?

Data Quality & Governance

Data Engineering & Pipelines

Languages & Tools

Cloud

Airflow · Azure Data Lake · Microsoft Purview · dbt · Python · SQL

Enterprise-grade data governance platform processing 2M+ synthetic clinical records (Synthea). Automated validation frameworks, full metadata catalog, data lineage tracking, and observability dashboards built to meet real-world healthcare compliance standards.

Key highlights: Data quality rules engine · Metadata cataloging · Schema drift detection · Lineage mapping · SLA monitoring

Snowflake · dbt · Apache Airflow · GitHub Actions · SQL · Python

Full-stack enterprise data platform with medallion architecture (RAW → STAGING → MART), metadata-driven quality rule engine, and operational observability layer.

By the numbers: 40+ SQL scripts · 25+ dbt models · 65+ data quality rules · 6 governance schemas · CI/CD via GitHub Actions

PostgreSQL · SQL · Data Analysis

Advanced SQL analytics — customer segmentation, revenue analysis, cohort queries, and business KPI reporting.

Full-time roles in the USA (OPT starting May 27, 2026) in:

• Data Quality Engineer
• Data Governance Analyst
• Data Engineer
• Analytics Engineer

📬 Let's connect: sreyaslankala@gmail.com · LinkedIn