Ravali Nallamasu
Senior Data Engineer @Humana
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WORK HISTORY
Senior Data Engineer @Humana
US
Engineered scalable Snowflake + Python pipelines used for analytics, forecasting, and ML experimentation; improved data refresh performance by 30%.Designed ML‑ready datasets and collaborated with data scientists to deliver features, data validation rules, and reproducible transformations.Migrated high‑volume SQL Server workloads to Snowflake with zero data loss, enabling modern ML‑compatible architectures.Implemented automated lineage, documentation, and data validation frameworks improving downstream data reliability.Led a team of 3 engineers (onshore/offshore), establishing engineering standards, code review procedures, and reusable pipeline frameworks.
EDUCATION
Sri Indu College Of Engineering & Technology
Bachelor's of Technology, Computer Science
The University of Texas at Dallas
Masters degree, Computer Science
SKILLS
ABOUT RAVALI NALLAMASU
Senior Data Engineer with 10+ years of experience designing scalable data pipelines, cloud data platforms, and analytical data products. Strong foundation in data science and machine learning concepts gained through academic projects, complemented by deep expertise in Python, SQL, Spark, Azure, and Snowflake. Adept at building modern data architectures, optimizing data workflows, and enabling business intelligence teams with clean, trusted, and well-modeled datasets. Experienced in cross-functional collaboration, engineering leadership, and delivering high-impact data solutions that support analytics, forecasting, and ML-driven initiatives.Core CompetenciesML Engineering Support: Feature pipelines, dataset versioning, experiment support, PySpark MLlibData Engineering: Spark, Databricks, Synapse, Snowflake, ADLS, SQL, Delta LakeProgramming: Python (Pandas, NumPy, Scikit‑learn, PySpark), SQL, Scala, JavaMachine Learning Foundations: Regression, Classification, Feature Engineering, Model Evaluation, Recommender SystemsCloud: Azure (Databricks, Synapse, Purview), SnowflakeMLOps Tools (Familiarity): Feature Store concepts, model monitoring principlesOther: Git, CI/CD, Power BI
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