Sai S.

Background

About Sai S.

Experienced Data Engineer with a Master’s in Computer Science and years spent turning raw, chaotic datasets into structured gold across healthcare, finance, and enterprise domains. I specialize in building ETL/ELT pipelines using GCP BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Vertex AI, with strong emphasis on performance, automation, and data quality. My expertise includes building production-grade pipelines using Python, PowerShell, and shell scripting to automate everything from data ingestion to validation and governance. I’ve worked extensively on implementing IBM db2, Abintio ETL, Informatica, dbt models, Clinchy data fabric platform Adept at building scalable Abinitio, Informatica ETL pipelines and modern data lakes using PySpark, SQL, and Delta Lake, with a knack for making petabytes behave and pipelines hum. Brought machine learning to life by designing model-ready datasets for risk prediction, readmission scoring, and provider performance analysis — often delivering insights before dashboards even finish loading. Wrote battle-tested SQL, PL/SQL stored procedures, triggers, and functions that power real-time reporting, fraud detection, and billing logic across mission-critical systems. Skilled in weaving Python, PySpark, and Power Platform (Power Apps, Power Automate) into cohesive solutions, enabling workflow automation and seamless data exchange with APIs and Azure SQL. ML-aware and cloud-savvy, with hands-on experience preparing features for SageMaker, Azure ML, and Snowflake ML environments — and deploying pipelines that don't break at 3 a.m. Agile enthusiast, fast learner, and communicator who can explain data lineage to a developer and model drift to a VP and still keep meetings under 15 minutes