Open to opportunities

Buffalo, New York · 4+ years experience

Data
Engineer.

I build reliable data platforms that turn complex healthcare and enterprise data into analytics-ready systems, measurable decisions, and production-grade intelligence.

Buffalo, NY · Open to relocation

Explore my work Resume

Portrait of Chinmaya Pasupuleti in professional attire — 4+ years in data engineering
Healthcare · Cloud · Analytics · ML

9M+

Healthcare records

25%

Lower latency

30%

Less downtime

546K+

Admissions analyzed

0.98

Peak AUROC

01 / Profile

Engineering data people can trust.

I’m a Data Engineer with 4+ years of experience across ETL/ELT, cloud platforms, data warehousing, pipeline development, data quality, and analytics. Currently at Walgreens, I build and operate enterprise-scale pipelines using Snowflake, AWS, Apache Spark, Airflow, and AutoSys for pharmacy and retail analytics.

Previously at Cognizant, I operated and optimized a Reltio MDM ecosystem serving 9M+ healthcare professional records for AbbVie. At the University at Buffalo, I expanded that foundation into clinical AI—building reproducible data pipelines, predictive models, and privacy-preserving decision-support systems.

Focus: Data engineering & analytics
Domain: Healthcare & enterprise data
Working style: Reliable, measurable, collaborative

02 / Capabilities

From raw source to decision-ready data.

Languages & analysis

Python · SQL · Java · Pandas · NumPy · Excel · Statistical Analysis

Data engineering

ETL/ELT · Informatica PowerCenter · IICS · Reltio MDM · dbt · Airflow · Spark · PySpark

Data platforms

Snowflake · PostgreSQL · Oracle · Teradata · MySQL · MongoDB · Data Modeling · Star Schema

Cloud & delivery

AWS S3/SQS/EC2 · Azure · Docker · Git · GitHub Actions · AutoSys · REST APIs

Analytics & BI

Tableau · Power BI · Streamlit · KPI Dashboards · Data Visualization · Data Storytelling

Applied AI

LightGBM · XGBoost · scikit-learn · RAG · ChromaDB · SHAP · FastAPI · MCP

03 / Experience

Built in production. Proven by outcomes.

MAY 2026 — PRESENT

USA

Data Engineer

Walgreens

Build and operate enterprise-scale data pipelines, Snowflake warehouses, and production batch workflows for pharmacy and retail analytics.

Develop and optimize ETL/ELT pipelines using Python, SQL, AWS, and Snowflake to support scalable ingestion, transformation, and analytics workloads.
Engineer distributed data-processing workflows with Apache Spark and PySpark for large-scale datasets.
Design and optimize Snowflake warehouses, tables, views, and SQL transformations, improving analytical query performance by 20%.
Orchestrate 100+ production batch workflows using Airflow and AutoSys, managing scheduling, dependencies, failure handling, and monitoring.
Implement data validation, reconciliation, profiling, and quality controls to improve downstream data reliability.
Troubleshoot production pipeline failures and data discrepancies, improving pipeline stability by 15%.

PythonSQLSnowflakeAWSApache SparkPySparkAirflowAutoSys

JAN — MAY 2026

Buffalo, NY

Data Science Cohort

University at Buffalo · QAS.AI

Built a privacy-preserving clinical decision-support platform for congestive heart failure.

Processed 546K+ MIMIC-IV admissions into a reproducible 137K-visit corpus, reducing preparation time by ~60%.
Trained 11 multi-label LightGBM models on 108 temporal features, reaching 0.78–0.98 AUROC.
Built an auditable GDMT orchestration engine spanning 6 drug classes and 4 titration strategies.

PythonLightGBMFastAPIChromaDBRAGMCPTypeScript

OCT 2023 — JAN 2025

Hyderabad, India

Senior Data Engineer

Cognizant Technology Solutions · AbbVie

Led enterprise data integration and analytics work across a healthcare master-data ecosystem.

Optimized Reltio Cloud MDM for 9M+ HCP records, cutting processing latency by 25% with 98%+ data accuracy.
Reduced production downtime by 30% through AutoSys optimization, dependency management, and proactive failure detection.
Accelerated sprint delivery by ~20% through reusable data objects, validation rules, and technical specifications.

Reltio MDMIICSInformaticaAWSSnowflakeOracleTableau

APR 2021 — OCT 2023

Hyderabad, India

Junior Data Engineer

Cognizant Technology Solutions · AbbVie

Developed, monitored, and validated large-scale healthcare ingestion workflows.

Maintained ETL/ELT ingestion across Reltio, AWS S3/SQS, Oracle, and Teradata.
Implemented 30+ Reltio LOV configurations and historical reprocessing workflows.
Built Tableau and Power BI reporting for data quality, pipeline performance, and operational KPIs.

JavaSQLAWSTeradataAutoSysPower BI

04 / Selected work